A new study led by MIT researchers could drive the development of more energy-efficient digital displays — such as flat-screen TVs, augmented and virtual reality headsets, smartphone screens, medical imaging devices, and even large-area ambient lighting surfaces — that also generate richer, brighter colors.
The MIT scientists, in collaboration with researchers at Samsung, studied the microscopic changes that occur inside LEDs that utilize electrically excited quantum dots, which are precisely shaped nanoscale semiconductor particles that emit extremely pure colored light.
Quantum dots are currently used in some of the computer and television displays with the best picture quality available. The efficiency of these displays could be further improved, and their manufacturing process further simplified, if the quantum dots could be electrically excited, as was first demonstrated in the quantum dot LED (QD-LED) structures over 20 years ago.
But limitations on the operating lifespans of these QD-LEDs have prevented their widespread use in commercial applications.
The new study shows how encapsulating QD-LEDs in an acrylate-based resin can extend their lifespan by minimizing the physical degradation that would otherwise occur during QD-LED operation.
The researchers demonstrated that encapsulating QD-LEDs with a resin layer using a simple, scalable process boosts stability and performance. In some devices, resin encapsulation enabled a 5,000-fold lifespan improvement. Importantly, their study reveals the fundamental reasons resin encapsulation is effective.
“The insights into how and why quantum dot LEDs get modified during their operation open the possibility of fixing everything that holds back commercialization of QD-LED displays. This technology can provide a light source like never before — pure in color, paper thin, and of large area, transforming how we produce both displays and general lighting,” says Vladimir Bulović, the Fariborz Maseeh (1990) Professor of Emerging Technology, principal investigator in the Research Laboratory of Electronics (RLE), director of MIT.nano, and senior author of this study.
He is joined on the paper by lead author Ruiqi Zhang, an electrical engineering and computer science graduate student; Moungi Bawendi, the Lester Wolfe Professor of Chemistry; and other colleagues at MIT and Samsung SAIT. The research appears today in Science Advances.
A blue bottleneck
This paper draws on foundational work by Bawendi, who shared the Nobel Prize in Chemistry in 2023 for discovering and synthesizing quantum dots, and engineering work by Bulović, who joined MIT in 2000, when he began collaborating with Bawendi to make efficient LED displays using quantum dots.
Conventional LED displays utilize thousands of tiny lightbulbs that generate the red, green, and blue light needed to create the perception of any color on the visible spectrum. More advanced OLED screens, which Bulović was developing through his graduate work at Princeton University, utilize electrically excited, glowing organic molecules instead of light bulbs.
Bulović, Bawendi, and others at MIT sought to replace the organic molecules with quantum dots, which emit purer red, green, and blue light in a more energy-efficient manner.
“With quantum dots, the color quality of the screen would be more visually appealing and more optically flexible. One can mix and match those quantum dot colors more precisely to generate any color that is needed,” says Bulović.
Their collaboration generated a series of inventions on quantum dot LED technologies, leading to the launch of the startup QD Vision, which successfully commercialized the first-ever displays containing quantum dots. In 2016, QD Vision was acquired by Samsung, which incorporated a less efficient form of quantum dot technology into their “QLED” displays.
Although they are more energy-efficient, electrically excited QD-LEDs have still not been commercialized, particularly since the limited lifetime of the blue QD-LED does not meet the requirements of commercial displays.
“The blue quantum dot LEDs are 50 to 100 times less stable than their red and green counterparts. If you use them in an LED display, your TV might last for just a few months before it stops working. We wanted to understand what is different about the blue quantum dot LEDs,” Zhang says.
A nanoscale investigation
He and his collaborators developed a technique to slice a tiny QD-LED in nanoscale-thin slivers, revealing the device cross-section. They examined these cross-sections under extremely powerful microscopes at MIT.nano. This precise method allowed them to see what happens at the nanoscale to the ultrathin layers of materials stacked inside the QD-LED.
They explored the structural and chemical changes that occurred in each layer of red and blue QD-LEDs by comparing cross-sections of freshly made devices to cross-sections of devices that were operated on overdrive. The researchers found that during operation, the three core functional layers that enable blue QD-LEDs to glow are degraded, with modified morphology and reduced thickness.
The distinct quantum dots also get merged together, losing their shape. This layer thinning and coarsening is caused, in part, by the release of extra hydrogen and oxygen during operation.
“We don’t yet know exactly where these extra elements are coming from — there are so many possibilities. But we definitely don’t want extra hydrogen and oxygen in the device,” Zhang says.
To prevent this degradation, they utilized a technique sometimes adopted by industry. They encapsulated the QD-LEDs with an acrylate-based resin.
They discovered that this encapsulation technique suppresses the release of the hydrogen and oxygen and inhibits some of the degradation that changes the morphology of the layers of the blue QD-LED.
“For the first time, we have insights into the details of what happens inside these structures of many mixed and layered materials that form the QD-LED. No one knew this before,” Bulović says.
This encapsulation strategy, which is a cost-effective and scalable technique, led to an eightfold improvement in the lifetime of red QD-LEDs and more than a 5,000-fold lifetime improvement in blue QD-LEDs.
The researchers believe the resin prevents the formation of moisture in the cloud of gases that surrounds the quantum dot. That moisture likely causes the QD-LED to degrade.
However, their experiments revealed that resin encapsulation does not eliminate all sources of degradation.
The researchers are now exploring the addition of extra layers to QD-LEDs that could further improve efficiency and lifespan. They also plan to build on the lessons learned in this study to increase the stability of QD-LEDs for other applications.
“This version of quantum dot LEDs would be better than anything that exists now — simpler to make, more efficient, and higher performing. This could open vistas into many more ways of thinking about this technology, not just for the sake of displays or lighting, but also for sensors, lasers, and so on,” says Bulović.
This work was funded by the Samsung Advanced Institute of Technology. The research was carried out, in part, using MIT.nano facilities.
New flapping robot swims and flies like a diving birdMIT engineers’ design could lead to a new class of aerial-aquatic vehicles for ocean exploration.Loons, gulls, puffins, and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge in water to swim after prey, and leap back into the air to fly away.
Inspired by these naturally aquatic aviators, engineers at MIT and EPFL in Lausanne, Switzerland, have designed a robot that can swim underwater, then flap out of the water to continue flying through air, much like diving birds.
The “flapping-wing aerial-aquatic vehicle,” or FAAV, weighs less than 300 grams (about half a pound) and is designed to help scientists study the mechanics that enable diving birds to fly through air and water.
The robot has a central body, or fuselage; two flexible, flapping wings; and a steerable tail. The wings and tail can be swapped out for different sizes. In experiments carried out in a water tank and at a local lake, the engineers identified combinations of wing size, flapping frequency, and tail angle that enable the robot to smoothly transition from swimming through water to breaking through the surface to flying through the air.
Their results, which appear today in the journal Science, could help scientists understand how diving birds adapt their flight mechanics to move through air and water — mediums with very different physical properties. The design could also launch a new class of aerial-aquatic drones and vehicles. The researchers envision such winged robots could be deployed in oceanography to fly to and sample from aquatic regions that would otherwise be too dangerous for traditional ocean vessels to access.
“Our dream vision is for oceanographers, marine biologists, and members of coastal communities to launch this robot from a boat, or from shore, and it would fly close to the area of interest, such as an iceberg or a port facility, or over a pod of whales,” says Raphael Zufferey, assistant professor of mechanical engineering at MIT. “It would dive into the water to take a measurement or collect a sample, and fly back to deliver the data at a fraction of the cost of traditional methods. Then it could go back out to dive for more.”
Zufferey is the lead author of the new study, which includes co-authors from EPFL and Northwest Indian College in Bellingham, Washington.
Flight mechanics
At MIT, Zufferey heads up the AURA Lab, where he and his students engineer aerial and aquatic vehicles inspired by biomechanics in nature. The robots they build are small in size and designed to unobtrusively explore and monitor the health of oceans and waterways.
For their new work, the team aimed to design a vehicle that can fly in the air and underwater. Any such vehicle would have to adapt to and transition between two very different substances. Water is 1,000 times denser than air, and moving through one or the other requires very different mechanics. Or so people might assume.
“You have to do some adaptation to make that transition work. But there’s a solution that exists in nature,” Zufferey says. “Birds like puffins can fly very fast through the air, and can dive and swim through water at speeds of 3 meters per second. They’re able to do pretty amazing things. So we knew is was possible. Just no one had tried this in a mobile robotic system.”
To get an idea for how diving birds fly, the team looked through the scientific literature and pulled together available data on puffins, petrels, kingfishers, and other diving birds. They observed that smaller birds flap their wings around 10 times per second when flying through air, and around four times per second when swimming through water. Larger birds have a slightly lower flapping frequency through both air and water due to their wider wingspans.
With the biomechanics of birds in mind, the team developed a winged robot designed to flap at similar frequencies to that of actual diving birds.
Making the leap
The new robot roughly resembles a bird, with a body, two wings, and a tail. The body contains a battery and waterproof electric motor that drives a crankshaft, which in turn pumps the wings up and down at preset frequencies. The wings are made of thin membranes that are coated with hydrophobic nanoparticles to help wick away water. And the tail is motorized, enabling it to change its angle to help the robot fly up or dive down.
The wings can be swapped out for different sizes. The researchers fabricated and tested three sets of wings: small (60 centimeters wide), medium (80 centimeters), and large (100 centimeters). They carried out experiments first in a small water tank, then in Lake Geneva in Switzerland.
In their tests, they placed the robot underwater, about half a meter below the surface. They programmed the wings to flap at certain frequencies and the tail to pitch at certain angles throughout the robot’s flight. They then observed under what conditions the robot successfully swam up toward the surface, out of the water and into the air.
The robot flew multiple flights with different wing sizes, flapping frequencies, and tail angles. Overall, the team found the robot was able to reliably fly, swim, and transition between water and air when it flew with medium-sized wings. Flexibility in the wings is key; the wings need to be flexible enough to minimize flapping amplitude in water and also firm enough to keep the robot aloft in the air.
The researchers also found the robot could swim through water at speeds of almost 1 meter per second when it flapped with a frequency of around 5 herz, or five flaps per second. The robot could fly through the air at around 6 meters per second, when flapping at a similar frequency. The speeds and flapping frequencies of the robot were similar to that of actual diving birds.
To make the leap from water to air, they found the robot should be pitched at 70 degrees — a relatively steep angle that keeps the robot’s wingtips from touching the water’s surface as it flaps up and into the air. Any steeper, and the robot would tip back into the water.
Interestingly, this combination of wing size, flap frequency, and tail pitch enabled the robot to swim underwater, launch off the surface, and fly, without something that many diving birds require: feet. When birds such as puffins and ducks take off from the water’s surface, they paddle their feet, along with flapping their wings and pitching their tails. Surprisingly, Zufferey and his colleagues found that, at least in robotics, the act of flying out of water doesn’t necessarily require a paddling maneuver.
“If you look at birds, most birds need to paddle at the surface to take off. And the question was, do we need the same for robots? And it turns out we don’t,” Zufferey says.
Going forward, the team is improving the design of the wings to enable them to turn in addition to flapping up and down. They will also test the robot’s performance under turbulent conditions, such as swimming out of choppy waters and flying through wind. Then, they hope to deploy the vehicle to help answer questions in ocean science.
“One of the major challenges in ocean science is collecting data both frequently and across many locations, which is something this robot could do in the future,” Zufferey says. “You could send this out not just every week, but every hour. It could fly out at high speeds, dive in fly back, deliver its data, and go back out, multiple times.”
This work was supported, in part, by a Marie Skłodowska-Curie Actions fellowship grant.
MIT-led project opens first climate shelter in BangladeshThe Jameel Observatory-CREWSnet project opens a solar-powered “adaptation fortress” in Satkhira, a region facing severe and growing climate threats.In southwestern Bangladesh, where extreme heat and severe tropical cyclones threaten the lives of millions of people, a new kind of climate refuge has opened its doors.
At the Baradal Aftab Uddin Collegiate School in the Satkhira district, the Jameel Observatory Climate Resilience Early Warning System Network (Jameel Observatory-CREWSnet) opened its first “adaptation fortress,” a solar-powered community shelter designed to protect residents from extreme heat and tropical storms.
A year-round refuge
When the heat arrives in southwestern Bangladesh, people have traditionally looked for relief under the shade of trees or near bodies of water. Now, during heatwaves, temperatures can reach 44 degrees Celsius (111 degrees Fahrenheit), levels at which shade is no longer enough.
A school by day and refuge from disaster, the adaptation fortress transforms the traditional concept of a cyclone shelter into a permanent year-round community resilience hub.
The facility offers residents protection from two of the region’s fastest-growing climate threats. During government-declared heat emergencies, it can host up to 200 people in four air-conditioned rooms supplied with clean drinking water. As a cyclone shelter, it can accommodate up to 500 people in additional rooms.
For the 30 million residents in southwestern Bangladesh, caught in a compounding cycle of cyclones and record-breaking heatwaves, the fortress represents something larger: a shift from reacting to disasters to preparing for them.
From forecast to fortress
That shift is the founding premise of the Jameel Observatory-CREWSnet project, which develops climate-resilience solutions that help vulnerable communities prepare for and adapt to life-altering conditions.
The opening of the adaptation fortress marks a milestone for the project, and for MIT’s broader climate mission. Jameel Observatory-CREWSnet was one of MIT's five Climate Grand Challenges flagship projects, selected to translate climate research into tangible solutions for underserved communities facing some of the world’s most urgent climate threats.
The project started in 2022 with Community Jameel and a research team at MIT led by Elfatih Eltahir, the H.M. King Bhumibol Professor of Hydrology and Climate in the Department of Civil and Environmental Engineering, along with John Aldridge, assistant leader of the Human Resilience Technology Group at MIT Lincoln Laboratory, and Deborah Campbell, senior staff scientist at MIT Lincoln Laboratory.
Working in collaboration with BRAC International, a Bangladesh-founded nonprofit organization, the project combines advanced climate and socioeconomic forecasting with practical adaptation solutions. The adaptation fortress extends the project’s mission from forecasting climate threats to building permanent protection against them.
“When we launched the Jameel Observatory-CREWSnet, our goal was to close the gap between what climate science tells us is coming and what communities can actually do about it,” says Eltahir. “The adaptation fortress is that idea made concrete. Our models project more intense heatwaves for this region, and now residents of Satkhira have a place built to withstand them.”
The project’s climate modeling gives the fortress its urgency. Developed over decades in Eltahir’s research group, the models predict increasingly intense heatwaves across southwestern Bangladesh in the years ahead — dangerous heat layered on top of the cyclone risks they already endure.
That same evidence shaped who gets through the door first. A priority access list focuses on those the heat endangers most: the elderly, people with respiratory conditions such as asthma, expectant mothers and mothers with infants, and students of the Baradal school.
Built to outlast the grid
The building was designed to weather climate shocks. A rooftop solar array powers the building as its primary energy source, with a battery backup that keeps it fully operational during grid outages. Solar grid-based air conditioning units combat extreme heat, and windows of glass encased in iron protect against breakage while sealing in the cool air.
The facility also integrates rainwater harvesting to mitigate the severe salinity that plagues local groundwater, and is designed to help cover its own upkeep. A net-metering interface allows surplus electricity generated during low-occupancy periods to be sold back to the national grid, creating a circular revenue stream that funds long-term maintenance.
The fortress is built with the community. A school committee oversees day-to-day operations and emergency protocols in partnership with BRAC, formalized through a signed memorandum of understanding to ensure long-term sustainability. The facility is supported by a comprehensive user guide translated into Bangla to empower local management.
Engineered to scale
The Satkhira adaptation fortress is a pilot, and will be rigorously assessed. Remote sensors will track temperature, humidity, and power consumption. The findings will directly inform a second adaptation fortress planned for a secondary school in the Jashore district, where construction is scheduled to begin before the end of 2026.
If the evidence supports the model’s effectiveness, the concept could ultimately scale to as many as 1,250 fortresses across southwestern Bangladesh.
“From the start, our vision for this project has been a capability that could extend far beyond any single community,” says Campbell. “The adaptation fortress is a model we can learn from and refine in Satkhira, then carry to the many other places facing these same compounding climate threats.”
The work is supported by Community Jameel for Jameel Observatory CREWSnet, and by MIT Climate Grand Challenges.
Beyond the pitch: The founder’s journeyAn MIT mechanical engineering course explores entrepreneurship through lessons and stories shared by alumni startup founders.The path to launching and growing a startup can be full of twists and turns. For a budding entrepreneur, gaining perspective from those who have already experienced the journey can be incredibly valuable, and highly inspirational.
“There are so many amazing entrepreneurial stories among our alumni. We want to bring those stories to our students and our community and build networks with our incredible alumni founders,” says John Hart, the Class of 1922 Professor and head of the Department of Mechanical Engineering (MechE). “Through the Founder’s Journey class and other new programs, we want to cultivate interest in entrepreneurship among our students and expand opportunities to bring MechE-born technologies to the world.”
According to a 2015 report on MIT’s global entrepreneurial impact, there are more than 30,000 active companies founded by MIT alumni worldwide, employing some 4.6 million people. Marina Hatsopoulos SM ’93, founding CEO of Z Corp., an early market leader in 3D printing, said one of the aims of the course was to show students they don’t need to reinvent everything. “So much of this has been done before. I want them to understand that this is a well-trod path.”
Class 2.S977/2.S979 (Founder’s Journey: Launching and Scaling Hardware Startups) explores real-life challenges of startups focused on building and scaling hardware technologies. First held in spring 2025, the inaugural class invited students to “find and activate their entrepreneurial energy” through the lens of challenges faced by founders and their teams at various stages in development of new hardware-focused companies — ranging from fundraising to supply chain development, and much more.
Each week of the class was structured around a key challenge faced during the development and growth of a hardware startup, presented by the instructors and guest speaker. The speakers were founders of companies in robotics, energy, 3D printing, consumer products, and other frontier technologies. Students engaged through preparing questions for the speakers and participating in follow-on discussions and reflective exercises throughout the semester.
Ken Zolot, senior lecturer at MIT, and Hatsopoulous co-led the class and developed it along with Hart. Hart, who was among the alumni speakers in the course’s first iteration, also spoke to the class about his experience as a co-founder of VulcanForms, which began through collaboration with fellow co-founder Martin Feldmann MEng ’14.
The other alumni speakers included Mick Mountz (Kiva/Amazon); Jon Hirschtick (Solidworks/Onshape); Max Lobovsky (Formlabs); Elise Strobach (Aeroshield); Greg Mark (Markforged); Seemantini Nadkarni (Coalesenz); Eran Egozy (Harmonix); Renuka Babu (DOTS Technology); Davide Marini (Inkbit); Loewen Cavill (Amira); and Colin Angle (iRobot).
Colin Angle ’89, SM ’91, co-founder of iRobot
Colin Angle ’89, SM ’91, co-founder and former CEO of iRobot, now CEO and co-founder of Familiar Machines and Magic, identified a passion for building things early on.
“This idea that you can create something from nothing, that you can have an idea and not just draw it, but build it and make it real, is something I’ve always loved,” he says. “MIT had such a strong, hands-on ethos, and that really, powerfully resonated.”
While living in the Alpha Delta Phi Fraternity house at MIT, Angle watched several companies get their start (by his count, five multimillion-dollar companies were started by his fraternity brothers during his time in the house). Seeing others do it helped to demystify the process.
He started iRobot in his living room, beginning at first not with a product concept, but a grand vision. “We’re supposed to have robots. So, if not us, who? And if not now, when? It was a magical day.”
iRobot may be best known for the Roomba, an autonomous robotic vacuum cleaner, but through the years the company also sent robots to Afghanistan (saving thousands of lives with the Pack Bot tactical mobile robot) and explored the Great Pyramid in Giza live on National Geographic.
“The joy I have taken from my entrepreneurial journey has been the ability to build bigger things, from building teams to building a company capable of building something far beyond what I could have ever imagined doing myself … we created inventions that no one thought possible, simply because we believed we could.”
Elise Strobach SM ’17, PhD ’20, CEO and co-founder of AeroShield
Elise Strobach SM ’17, PhD ’20 is CEO and co-founder of AeroShield Materials. The company, co-founded with Kyle Wilke PhD ’19 and Aaron Baskerville-Bridges SM ’20, MBA ’20, develops super-insulating transparent window inserts with technology based on transparent silica aerogels developed by Strobach while she was completing her PhD in Professor Evelyn Wang’s lab.
“I wasn’t thinking of myself as an entrepreneur at that time, but looking back, that’s definitely where that seed was planted,” says Strobach. As entrepreneurs, she says, “We have the … freedom to find the best problem to solve and to continue to seek the best way to solve that problem.”
Aerogels, which were first invented almost 100 years ago and were first commercialized by NASA to insulate equipment in space, had a hazy blue tint that limited their use in certain applications. The aerogel material created by Strobach and her team is completely see-through, creating a variety of new everyday applications. The company recently achieved another milestone, with their work on display at the Smithsonian National Air and Space Museum in Washington.
“You don’t have to know everything to start. You just have to know that this is what you want to do and just get started.”
Maxim Lobovsky SM ’11, CEO and co-founder of FormLabs
Maxim Lobovsky SM ’11 was already working on 3D printers when he came to MIT to study at the MIT Media Lab. As he was finishing his master’s degree, he saw an opportunity to build something new.
Lobovsky, with fellow Media Lab graduates David Cranor SM ’11 and Natan Linder SM ’11, founded Formlabs, a developer and manufacturer of 3D printing technology. The trio set out to build a professional-level 3D printer, but a significant cost reduction and one that would be easier to use than what was then available on the market. At a time when 3D printers could cost $100,000 or more, Formlabs’ product started around $3,000.
“We definitely built Formlabs in a classic, disruptive innovation path,” Lobovsky says. They achieved the cost reduction through several different ways, including replacing technology developed in the 1980s with modern consumer electronics components like the laser diodes that were developed for Blu-ray Disc players, and with “just a lot of clever engineering.”
It was a long grind to raise the first round of funding, he says. The team participated in MIT’s 100K competition and pitched their idea to many potential investors (with limited success, initially). Their big break came in the form of an overheard conversation.
“As someone who is naturally introverted, shy engineer … a really important lesson [was] that, sometimes, you can get lucky,” he says. “Sometimes talking loudly at a restaurant is actually a good way to get things going.”
Lobovsky and one of his co-founders were having dinner with a potential investor at Legal Seafoods in Harvard Square. The pitch to the initial investor didn’t go well, but Mitch Kapor, the founder of Lotus Software and an early pioneer in the PC industry overheard the conversation, and he ended up leading Formlabs’ first round of funding.
Today, Formlabs is the largest supplier of professional stereolithography and selective laser sintering 3D printers in the world.
Jon Hirschtick ’83, SM ’83, co-founder of SolidWorks and Onshape
Jon Hirschtick ’83, SM ’83, co-founder of SolidWorks and Onshape, says the first time he can remember thinking about starting a company was when he was an undergraduate.
“I had heard about startups, and it sounded like a lot of things that I was drawn to … a sense of being able to realize your vision, express yourself; a sense of excitement, of making money, and even the idea of a chaotic environment,” he says.
Hirschtick has spent over four decades building computer-aided design (CAD) software, starting as an intern at MIT in 1981 and continuing that work today. “I thought, ‘hey, the world could use this software.’ It’ll be a better place with the software that I envisioned.”
He refers to CAD as a meta product design. “We’re designing a product that other people use to design products, and that’s just really cool to me.”
“I think startups just fit me,” he says. “The excitement, the idea of trying to solve a lot of problems at the same time. MIT is a place of problem-solving ... and a startup is a place where there’s lots of problems to solve.” He adds that a lot of big companies are doing new things, but “startups are always doing things.”
He says most anything today that is a manufactured product is modeled in CAD first. “If you’re interested and excited by product development, then building a CAD system lets you get involved in the world’s product development.”
“Nobody knows for sure when they start a company whether it’s going to be successful or not. If it were, if there was a way of knowing for sure, then there wouldn’t be all these classes in entrepreneurship. They’d just tell you the secret. There’s always risk. Visions and hallucinations, they look and feel the same. You only find out which is which once you really try to realize them.”
A version of this story appears in the 2026 issue of MechE Connects, the Department of Mechanical Engineering’s magazine.
A baseball-sized sensor can detect chemical threatsThe “TOSSIT” device, developed at MIT Lincoln Laboratory, can warn service members and first responders of dangerous vapors and aerosols.Researchers at MIT Lincoln Laboratory have designed a throwable, baseball-sized sensor that can remotely detect hazardous vapors and aerosols.
Called the Tactical Optical Spherical Sensor for Interrogating Threats (TOSSIT), the sensor is designed to alert military service members, first responders, and law enforcement to the presence of chemical threats like nerve and blister agents, industrial chemical accidents, or fentanyl dust.
Users can simply toss, drone-drop, or launch TOSSIT into an area of concern. To detect chemicals, the sensor samples the air and uses an internal camera to observe color changes on a removable dye card.
If certain chemicals are present, TOSSIT alerts users via an app or alarms in the sensor.
"TOSSIT fills an unmet need, providing a low-cost sensing option for vapors and solid aerosol threats — think toxic dust particles — that would otherwise not be detectable by small deployed sensor systems,” says principal investigator Richard Kingsborough.
After extensive testing in the field, the technology is being transferred to the U.S. military.
Tiny robot boats build floating structuresMIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site.
Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart, and reassemble into something new, all with minimal human direction.
Each robot, about the size of a dinner plate at 21 centimeters square, is a self-contained vessel with its own thrusters, sensors, and magnetic latches. Together, they hint at a future in which floating infrastructure could become more adaptive: a temporary platform after an emergency, a market on a canal, or a stage that appears for a festival and dissolves when the crowd goes home.
“Our FloatForm projects envisions a future where the waterfront becomes a programmable extension of the city, where autonomous boats can self-organize into bridges, platforms, and other useful structures on demand,” says Daniela Rus, the Panasonic Professor of Electrical Engineering and Computer Science at MIT and director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). “This kind of distributed robotics opens new possibilities for mobility, emergency response, public space, and infrastructure on water.”
“With FloatForm, we are essentially turning static water surfaces into dynamic, programmable spaces,” says Wei Wang, lead author of a new paper on the project and a former MIT research scientist who now leads the Marine Robotics Lab at the University of Wisconsin at Madison. “Imagine an urban environment where public space isn’t fixed, but can autonomously expand, contract, or reconfigure on demand.”
“We see it as forming infrastructure on the water, using a modular system to create one larger system,” says Alejandro Gonzalez-Garcia, a former researcher with MIT CSAIL and the Senseable City Lab. “If there’s an emergency, you could form a new bridge to alleviate traffic in the city. Or you could create floating markets and floating stages. If you want a more livable city, you want to use the water, too.”
The open-access work, published today in Nature Communications, comes from the labs of Rus and Carlo Ratti, professor of practice of urban technologies and planning at MIT and director of the Senseable City Lab, and grows out of Roboat, their joint project with the Amsterdam Institute for Advanced Metropolitan Solutions that put full-size autonomous vessels on Amsterdam’s canals. Those canals once carried the city’s goods; today, they mostly carry tourists.
“We explored whether the canals could be used for waste collection, or for transport, to offload some of the stress on the roads back onto the water,” says Niklas Hagemann, an MIT graduate student in architecture, CSAIL affiliate, and former Senseable City Lab researcher who has worked on the project since its early stages. “Urban areas are getting denser, so could you expand public space onto water that’s currently underutilized?”
FloatForm shrinks that vision down to tabletop scale to answer a harder question: How do you get dozens, and eventually thousands, of floating robots to organize themselves?
Lessons from the ant raft
The team found its answer in biology. Fire ants famously survive floods by linking their bodies into living rafts, with no leader choreographing the assembly. Each ant follows simple local rules, and a resilient structure emerges.
“Each ant is an independent agent,” says Gonzalez-Garcia. “We wanted each robot to have its own capabilities, the same way ant colonies form a raft.”
Most existing self-assembling robot systems, on water and elsewhere, rely on a central computer dictating every move. That approach is vulnerable to single points of failure and scales poorly: The planning math balloons as robots are added, and the swarm must assemble sequentially, with most robots idling while they wait their turn. FloatForm flips the balance. A lightweight central planner steps in only sparingly, assigning each robot a final position to perfect the lattice, a level of geometric precision that purely distributed methods struggle to guarantee. Everything else, including navigating toward the target shape, avoiding collisions, and adapting to disturbances, runs on the robots themselves, which coordinate by exchanging positions with their immediate neighbors. The whole swarm moves at once.
That parallelism is what sets the work apart. The planning complexity of FloatForms approach depends only on a robot’s local neighbors, not the total size of the swarm. “What we’re trying to do is to have minimal central intervention, and have them all move together at the same time,” says Gonzalez-Garcia.
In experiments at MIT, a fleet of eight robots repeatedly gathered from random positions into a target shape, latched into a rigid structure, broke apart on command, reassembled into a new configuration, and then drove across the pool as a single vessel, with each run taking four to eight minutes. In that final mode, called collective transport, a planner charts a trajectory for the whole structure and each robot computes its own contribution. “Every robot becomes an actuator,” Gonzalez-Garcia explains. Simulations showed the framework scaling smoothly to swarms of 64.
“The beauty of this largely decentralized approach is that the computation doesn’t get bogged down as the swarm grows,” says Wang. “Whether you are working with eight boats or 80, the entire fleet coordinates and moves simultaneously. Because the overall assembly time doesn’t significantly increase in principle, the system remains highly scalable.”
There's a physical payoff to sticking together, too. “Our boats become more stable by joining together, like the ant raft, if you have waves or currents,” Hagemann says.
An origami handshake
The robots connect through a latching mechanism hidden entirely inside each hull. A single servo motor at the center drives an origami-inspired auxetic structure, a geometry that contracts uniformly in all directions at once, pulling permanent magnets on all four sides inward to release, or pushing them outward to grab a neighbor across gaps of 10 to 15 centimeters. The magnets are arranged with alternating polarities, so the boats reliably click into clean square lattices.
The elegant part is what the mechanism doesn’t do: consume (much) power. A 3D-printed gearbox holds the latch in either state with the motor switched off. “It uses energy to latch and de-latch, but in between those states, it doesn’t use any energy,” says Hagemann. For infrastructure that might hold a configuration for hours, that matters. “Because the robots are so small, you can only have a battery so big,” adds Gonzalez-Garcia. “If they use less energy on latching, they can use more on computation, or on actually moving.”
Getting there took some humbling engineering. Four miniature thrusters arranged in an “X” give each robot omnidirectional motion, including turning in place, but they pack large forces relative to the robots’ tiny inertia, which made early prototypes twitchy and prone to aggressive spins at low speeds. The team added stabilizing fins to increase hydrodynamic drag and tuned the controllers to stay robust across robots that, at this scale, are never quite identical. The magnets posed their own problem: They held on so well that de-latching sometimes required the robots to twist themselves free.
From the tank to the canal
Across 10 trials, the system completed its missions without human intervention 90 percent of the time with four robots and 70 percent with eight. When things did go wrong, the architecture showed its resilience: A robot that briefly lost its bearings could rejoin the structure on its own, without bringing the whole swarm to a halt, and robots stuck in formation deadlocks learned to shake themselves free and retry.
Moving from a controlled indoor tank to a real canal or harbor will take more than confidence. “There’s always a relationship between the size of a boat and the magnitude of the disturbance it can handle,” says Gonzalez-Garcia. “These boats are very small, so in very disturbed water, they cannot work.” Scaling up will mean reinforcing the latches, potentially with mechanical interlocking like the full-size Roboat used, and trading the lab’s ultrasonic indoor positioning for GPS or vision-based sensing. Helpfully, the coordination algorithm was designed to be sensor-agnostic: swap the sensors, keep the logic.
The team envisions applications well beyond city canals, from forming temporary platforms for offshore inspection and maintenance to adaptive sensor networks for studying migratory species to reconfigurable docking stations for emergency response in hard-to-reach areas. There is also potential for offshore and remote operations, from temporary construction platforms to environmental monitoring and scientific expeditions.
And the geography is wide open. “Venice, the Netherlands, Belgium, the fjords and lakes of Norway, really any city with a river can take advantage of this,” says Gonzalez-Garcia. “The project uses spaces where water is already important, but it also raises the question: Where else can water be used for something more?”
“This is an exciting step forward in realizing distributed collective behaviors on water,” says University of Michigan Assistant Professor Steven Ceron, who wasn’t involved in the research. “Assembly, self-reconfiguration, and collective motion are difficult enough in dry environments, but achieving these behaviors in a predominantly distributed fashion on water represents a serious additional challenge, and this team has credibly overcome it. By shifting the computational burden onto the robots themselves, they have built a more resilient system that in the near future could enable robot collectives like this to be deployed in open-water environments for search operations, environmental monitoring, and reconfigurable marine infrastructure.”
Gonzalez-Garcia, Hagemann, and Wang wrote the paper with senior authors Ratti, who is also a professor at Politecnico di Milano, and Rus. Gonzalez-Garcia is additionally affiliated with the MECO Research Team at KU Leuven. The research was supported by a grant from the Amsterdam Institute for Advanced Metropolitan Solutions, with additional support from the University of Wisconsin at Madison. The team thanks MIT Sea Grant and Professor Michael Triantafyllou for providing the test tank.
Bringing the data to every sidelinePhD candidate Henry Wang works with FIFA and other organizations to advance the way sports are played, analyzed, and refereed.With Boston serving as a host city for the FIFA World Cup, the whole Bay State has soccer fever, including Henry Wang. As a child growing up in Dallas, sports were everything to him. Today, Wang is working on research that could impact some of the biggest sporting events in the world, including future World Cups.
The first such event that made a big impression on Wang involved a different form of football.
“The first ever sports game I remember watching was Super Bowl XLII in 2008,” he says. “I was really drawn to the competition, and the way it was presented. It’s this whole big spectacle.”
Wang, a fourth-year PhD candidate in social and engineering systems within MIT’s Institute for Data, Systems, and Society, studies how data and technology can improve the way sports are played, analyzed, and refereed. Working in the MIT Sports Lab in collaboration with FIFA, he develops systems with the goals of helping referees make faster, more accurate decisions and expanding access to performance analytics across the globe.
Now in the final stretch of his doctoral program and preparing to defend his thesis at the end of this year, Wang has spent nearly a decade at MIT. After earning his undergraduate degree in 2023 with a double major in computer science, economics, and data science and business analytics, he transitioned directly into graduate school. Sports have been a constant throughout that journey.
A competitive swimmer since age 7, Wang says athletics shaped both his identity and his community.
“Athletic competition was always a really big part of my life,” he says. “It’s kind of how I made a lot of friends, around the pool, and now at school, or in the lab and office.”
Ironically, swimming entered his life not because of a burning passion for sports, but because of a doctor’s recommendation.
“I don’t really come from a huge sports family,” Wang says. When he was diagnosed with asthma as a child, his pediatrician suggested swimming to strengthen his lungs.
His parents, both scientific researchers in radiology and medical physics, supported his growing passion. That support eventually led Wang to MIT, where he served as captain of the men’s swimming and diving team. In tandem, he continued pursuing research opportunities that merged his technical interests with his love of sports.
His first sports analytics project began with a cold email.
As a first-year student, Wang reached out to MIT Sloan School of Management Senior Lecturer Ben Shields to see if he could assist Shields with his research on sports strategy and analytics. Shields later connected Wang with a coach he knew who was interested in analyzing the two-point conversion strategy for MIT’s football team.
The project revealed that MIT could benefit from attempting two-point conversions much more frequently. The experience opened the door to the MIT Sports Lab, where Wang found mentors including Lecturer Christina Chase, Professor Anette “Peko” Hosoi, and former research scientist Ferran Vidal-Codina.
His research now focuses on two central questions: How can technology democratize access to sports data, and how can it help officials make better decisions?
Wang works with FIFA Innovation, the group within soccer’s global governing body that leads the development and testing of match technology used on the field. His research explores automatic event detection and officiating technologies designed to assist referees without disrupting the fan experience.
In one recent project, Wang helped develop a semi-automated system that uses players’ skeletal data and ball tracking to determine which player last touched the ball before it goes out of bounds. The research prototype aims to assist goal kick and corner kick decisions while minimizing interruptions to the game.
For Wang, success means that referees find the tools helpful, and fans barely notice it at all.
“A ball goes out of bounds, and we can immediately tell the referee it’s a corner kick,” he says. “The fans don’t even notice it.”
Alongside his doctoral research, Wang has gained experience across professional sports, spending two years with the Boston Red Sox’s baseball sciences team before accepting a role as a senior data scientist in basketball research and development with the Philadelphia 76ers, where he will continue working after graduation.
Despite his demanding schedule, he says the work rarely feels like work.
“I enjoy it so much,” he says. “I really don’t know what else I would be doing.”
Outside the lab, sports continue to anchor his life. Swimming at MIT provided structure and community during challenging moments.
“MIT can be pretty hard,” Wang says. “Having a consistent 5-to-7 o’clock swim practice every day definitely helped a lot.”
For Wang, sports have always been more than competition. They have shaped his friendships, inspired his research, and guided his career trajectory.
Now, as he works to build technologies that could change how billions of people experience the world’s most popular games, he is still driven by the same sense of love he felt watching sports as a child.
“I want every kid who plays sports to have the best experience possible, because I know how meaningful that can be toward someone’s life journey,” Wang says.
Ana Miljački named head of the Department of ArchitectureIn this leadership role, Miljački seeks to shepherd a collective commitment to transform the present into a better future.Ana Miljački looks back at her nearly 20 years teaching in the MIT Department of Architecture and says that one thing was perfectly clear to her on arrival: the caliber of her students.
“I appreciated immediately that these were students comfortable being at the edge of the discipline, eager to push and transform it,” says Miljački. “They didn’t necessarily seek the spotlight, but understood the value of participating in important transformations.”
Transformations are forthcoming for Miljački, the Francis White Davis Professor of Architecture: She became head of the Department of Architecture for the School of Architecture and Planning (SA+P) on July 1, and the architecture department itself will move to the Metropolitan Storage Warehouse (the Met) in late summer.
Miljački takes the reins from Nicholas de Monchaux, the Weber-Shaughness Professor, who helped significantly advance the department’s commitment to studio-based research and impact, particularly around climate resilience and sustainability. He also helped catalyze and deepen the ongoing exchange between MIT and Tuskegee University rooted in the legacy of Robert R. Taylor.
In announcing Miljački’s new role, SA+P Dean Hashim Sarkis noted that Miljački has directed two of the department’s specialized graduate degree programs: the Master of Science in Architecture Studies program (2023-25) and the Master of Architecture program (2016-20), and played a central role in shaping the department’s academic and pedagogical culture.
“Ana has led many of the department’s academic programs with dedication, advancing experimentation in pedagogy, encouraging critical thinking, and linking research and learning in a manner that is distinctly MIT,” says Sarkis. “She teaches history, theory, and design, and her work is internationally recognized for its contributions to architectural discourse, pedagogy, and institutional critique. I look forward to seeing her bring this vision to the department as a whole.”
Building a career at MIT
Having taught at Columbia University, City College in New York, and Harvard University Graduate School of Design, Miljački quickly recognized the value of being at MIT as a young faculty member. She found generous support for her research — humanities-driven historical scholarship, criticism, and her curatorial work.
“When junior faculty are supported to produce their own work, they also support students who are helping them,” says Miljački. “That is not something I had encountered until coming to MIT. The way the Institute has historically treated young faculty is unmatched by any other institution.”
She launched a distinguished career as a scholar and curator examining the organization, politics, authorship, and cultural production of architecture from Cold War-era Eastern Europe to contemporary architectural practice. In 2014, she co-curated the U.S. Pavillion at the Venice Architecture Biennale, which featured the exhibition “OfficeUS.”
In 2018, Miljački founded the Critical Broadcasting Lab at MIT, with a goal to cultivate tools necessary for critical practice, including the capacity to grapple with complexity, nuance, and politics of architectural production. Intervening in the world but operating from within the protections of academic life, its broadcasting and curatorial work remains insulated from special interests and its members retain the freedom to speak critically. The lab has made important contributions to São Paulo and Seoul biennials, as well as to the Great Repair exhibition in Berlin. It mounted a solo exhibition and an accompanying discussion at the Museum of Yugoslavia in Serbia in 2025.
Last year, Miljački co-curated, with Nicholas de Monchaux and Calvin Zhong, work from the Department of Architecture that examines diverse responses to the global climate crisis. The exhibition — The Next Earth: Computation, Crisis, Cosmology — was one of the collateral events of the Venice Biennale’s 19th International Architecture Exhibition. The vibrant presentation of MIT Architecture’s work in progress highlighted both the direct and circuitous narratives that link all of the department’s research and production to our contemporary climate crisis and possible responses to it.
Criticism as a core element of education
“I Would Prefer Not To” is Miljački’s podcast, conceived and produced by the Critical Broadcasting Lab in collaboration with the Architectural League of New York, and currently in its fifth season. The series sheds light on an unexamined part of architecture: why an architect turns down a commission. For Miljački, the podcast and all of her work as a critic and curator are forms of exhibition-making. Last year, her podcast won the Architecture in Media Award from the American Institute of Architects.
Students, says Miljački, are the reason she gets up every day. Even with her new responsibilities as department head, she will continue to teach class 4.210 (Positions: Cultivating Critical Practice), the History, Theory, and Criticism course required for incoming MArch students. The course, which transforms every year to include the most urgent topics of the moment, explores the recent past of architectural discourse, enables students to locate their own concerns, and is oriented toward the future. She sees the course as less of an opportunity to deliver a fixed body of knowledge and more as a process of shaping how students engage with ideas and one another. The class “intellectually socializes” incoming students, creating a shared framework that allows them to become meaningful interlocutors for each other over time.
“We have to think critically about this present that we occupy: how we got here. What it means to practice architecture today. How might we do it differently?” she says. “Sometimes we forget that we make the reality. It matters to what end we do it, how we understand the context in which we operate, and how it has already shaped us.”
A 19th century warehouse for the 21st century
Adding a new dimension to her tenure as department head is that, in August, the Department of Architecture moves into its new home — the Met (W41). Faculty and students have for generations worked on Building 7’s fourth floor, which skirts around the building’s dome. The fragmented space is not optimal for building community and spontaneously sharing work designed in the various studios. The Met will provide a unified home for MIT Architecture — and for most of the Department of Urban Studies and Planning — where the disciplines and their research on the built environment may overlap.
“I think it’s a really exciting moment to transform physically where we are and how we relate to one another,” says Miljački. “I have brilliant colleagues in the department, but we’ve been spending too much time circling around the dome looking for each other. The new building provides a place for us to gather, to see each other’s work, and thus truly conduct our research and teaching in each other’s presence.
“Also, importantly, we will be in a building that is a great example of adaptive reuse by the architecture firm Diller Scofidio + Renfro. Reusing, recycling, and maintaining the existing architectural stock is what we need to figure out how to do well in the field of architecture right now. To be able to didactically read this building every day will be very important. Our move will literally help guide us in teaching and learning while it also signals both internally and externally our commitment to this necessary shift in the discipline.”
Histories and timelines
Miljački sees the project of an architectural school as a collective cultivation of utopia. Over the years and in various leadership roles at MIT, she has forged how she thinks of leadership itself.
“I now think that leadership importantly involves narrating stories in which we can all recognize ourselves,” she says. “For me, it may be primarily about fostering a sense of collective purpose in the face of an unacceptable status quo.
“Recently, I’ve been describing the school as a series of material, human, and other timelines, all unfolding at different speeds and tangling together to consequentially meet and materialize in the aging walls that surround us, in our care and labor protocols, in our pedagogies, collective and individual political investments, joys and heartaches. Cycles of global catastrophes and major weather events that arrive in the form of black and red clouds we all breathe in, connect us back to more- and less-recent forms of extraction here and elsewhere on the planet. Architectural fashions, and sometimes technical expertise, travel the same channels by which political action spreads. And importantly, learning and enabling of all sorts of action happen in many more ways that are not codified than those that are. Every school is its own version of this mesh of timelines, people, and things. I am humbled daily to take part in the MIT version of it, and to now take the helm on behalf of this collective.”
Separating logic and languageNeuroscientists find logical reasoning does not involve language-processing parts of the brain.Some people find it useful to talk through their problems — but language isn’t necessary for logical reasoning, cognitive neuroscientists at MIT’s McGovern Institute for Brain Research say.
In research published this week in the journal PNAS, researchers led by MIT associate professor of brain and cognitive sciences Evelina Fedorenko have shown that people can perform well on tasks that require logical reasoning even if their language abilities are severely impaired. What’s more, brain imaging shows that language-processing parts of the brain are not called on for logical reasoning.
Philosophers, linguists, and cognitive scientists have debated the relationship between language and thought for thousands of years, with many arguing that we use language to think. There are good reasons to suspect a close relationship between logic and language, acknowledges Hope Kean, a postdoc and former K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center graduate fellow in Fedorenko’s lab. “Abstract thinking has properties that look a lot like language,” Kean says, pointing to structural similarities. “You can decompose a thought into subcomponents, like little atoms of logical propositions, and you can combine them in a hierarchical manner to make more complex structured rules, very akin to language.”
But she and Fedorenko, who is also a McGovern Institute investigator, suspected that while we largely depend on language to communicate about logical reasoning — from presenting a problem to explaining how we have arrived at conclusions — the brain might use a separate system for the reasoning itself.
“There are aspects of thinking that seem to go beyond some of the limitations of language,” Kean explains. Logical reasoning demands precision that language often lacks. And language is linear, progressing one word at a time, whereas evaluating available information to reach logical conclusions can require thinking in less linear ways.
Logical reasoning
These observations left Kean curious about how the brain handles logical reasoning. It’s a particularly difficult question to answer scientifically, because it’s hard to take language out of the equation when working with human study participants. But Fedorenko’s team did just that by collaborating with Rosemary Varley, a neuroscientist at University College London who studies acquired language disorders, and her team.
Together, the scientists worked with two patients who had experienced stroke that damaged language-processing parts of their brains, leaving them with severe impairments in both understanding and producing language. They designed language-free logic games in which participants were asked to infer relationships between sets of numbers. Given two lists, they had to figure out the hidden rule that turned one list into the other, such as reversing the digits or removing numbers above a certain value. Once they thought they’d discovered the rule, they had to apply it to new examples. In a second game, participants were presented a set of geometric patterns and asked to identify another pattern to complete the matrix.
As participants solved increasingly difficult puzzles, it became clear that people don’t need language for this kind of reasoning. Patients with language impairments solved the problems as well as a control group, and were even able to communicate the rules they inferred using gestures, or with a sketch. “It really upends a theory that says that symbolic rule induction is not possible without linguistic capacities,” says Kean.
Alongside this part of the study, Kean and colleagues also used functional brain imaging to study what happens in the brains of healthy adults when they are engaged in logical reasoning. Participants in this part of the study visited MIT for a series of MRI scans, which captured images of their brain activity during an array of tasks. In addition to completing different kinds of logic games inside the scanner, participants were asked to engage in tasks designed to map the language-processing parts of their brain. Another set of tasks was used to map each person’s so-called “multiple demand network” — a distributed brain system that supports complex problem-solving.
These neurotypical participants completed logic games similar to those used with the language-impaired patients. They were also presented with problems that required syllogistic reasoning, using “if-then” statements such as “if the ball is red, then it is big. The ball is red. Is the ball big?” The team varied the difficulty of the logic puzzles so they could see which brain areas became more active when the need for logical reasoning intensified. Likewise, they looked for changes in brain activity when participants had to infer a hidden rule, versus simply applying a rule they’d been given.
Here, too, a separation between language and logic was clear: The MRI scans showed the brain’s language system is not engaged for either inductive reasoning (when participants identified hidden rules) or deductive reasoning (when they assessed the validity of syllogistic conclusions). Surprisingly, the multiple demand network, which many scientists had suspected was important for logical reasoning, was engaged during inductive reasoning, but didn’t seem to get involved in deductive reasoning — a finding Kean is building on in her ongoing work.
For Fedorenko and Kean, the findings are strong support for a separation of logic and language in the brain. They add to previous findings from Fedorenko’s lab showing that other types of thinking, such as object categorization and social reasoning, also do not rely on language.
Acquired language impairments and AI
The researchers say these findings have important implications for how we think about acquired language impairments, or aphasia. Specialists who work with people with aphasia have long recognized that loss of language does not mean loss of intelligence. People with aphasia can continue to enjoy playing chess, solving sudoku puzzles, or being in charge of the family’s finances. But it is common for others to confuse their communicative difficulties with thinking difficulties.
“This research adds to a growing body of work establishing that even severely aphasic individuals can preserve their ability for abstract logical thought — a defining feature of our species,” Fedorenko says. “We should continue to educate the public that linguistic difficulties — in aphasia, but also in those with developmental language conditions, such as stuttering, or those who do not speak English natively — are not indicative of how smart or capable someone is.”
There could be implications for artificial intelligence, too. Large language models like ChatGPT and Claude are trained entirely on text and use text as their output — yet they convincingly simulate some kinds of human reasoning. Exploring the differences between these models and the human brain, where language and abstract logical thought are distinct, might offer useful insights to inform future models, Kean says.
When it comes to understanding how the human brain reasons, Kean calls this a new frontier in the geography of thought — and she says it’s one she is eager to explore.
MIT-designed educational factory embraces modern manufacturingMIT and Tec de Monterrey will expand FrED curriculum to universities across Mexico.From the basement of MIT’s Building 35 to Monterrey, Mexico, and now beyond. That is the journey of FrED, a low-cost desktop fiber (Fr) extrusion (E) device (D), designed and assembled by students in an educational factory at MIT.
That factory is transforming how manufacturing is taught — replacing textbook learning with hands-on experience in a space where tinkering is encouraged and information flows continuously. Through a collaboration between MIT and Tecnológico de Monterrey (Tec) managed by MIT.nano, FrED has been refined across dozens of graduate theses and undergraduate research stays. It is used to study manufacturing systems in academic and professional courses, and at FrED factories, first established at MIT and now at Tec’s campuses in Monterrey and Mexico City.
“What does it mean to bring the factory to the learner?” asked Brian W. Anthony, MIT.nano associate director and principal research scientist in the MIT Department of Mechanical Engineering (MechE) at the second annual FrED summit in Mexico City. “We have FrED as a process that manufactures a fiber, and we also have the FrED factory that’s an education and practice factory where we are manufacturing a real product. It’s not just a learning factory where we tear apart the product when we’re done. We really ship FrEDs to our online learners, to educators at MIT and Tec, and soon, to new partners around the world.”
Designed from the start for multi-node community scaling, FrED and the FrED factory have created a thriving, collaborative ecosystem for current and future manufacturing engineers. The next step is to expand that ecosystem globally. Announced at the FrED summit by Tec professor Pedro Ponce Cruz, a new FrED factory at Tec’s Saltillo campus will be opening in the next academic year. After that, the team plans to expand to other campuses across the United States and Mexico.
“Together, we are helping build a global engineering talent pipeline,” says Adriana Vargas Martinez, executive director of research strategy at Tec. “Through the FrED and FrED factory initiative, nearly 500 students have already been trained in advanced manufacturing automation, moving from Tec classrooms into research laboratories and collaborative projects with MIT.”
Discussing FrED and FrED factory’s research impact, she notes 25 publications and seven papers in development. “International mobility has also been an important dimension of this partnership,” she says.
A shift toward modern manufacturing deep-tech themes
FrED’s expansion comes at a time when manufacturing at MIT and across industry is shifting toward smart manufacturing, or Industry 4.0, integrating automation, machine learning, and artificial intelligence. One of MIT’s strategic priorities, the MIT Initiative for New Manufacturing (INM), is working to support new manufacturing research, development of new courses and workforce training, and building of shared facilities to pilot production lines and immersive manufacturing experiences. FrED and the FrED factory are already designed to support these efforts, and at an international scale.
“FrED and the FrED factory is really, I think, solving at least one problem: how we give real, physically meaningful physical context and production-level data, production-level problems in an academic environment that is directly transferable to the knowledge that you need on the factory floor,” says Anthony. It’s difficult to get data out of a real factory, he adds; what FrED offers is physical context crossed with data science, providing an open platform and open data for learning and experimenting.
FrED naturally generates the multi-modal data required for digital twins, analytics, and AI-driven process improvement, turning abstract AI/manufacturing integration into hands-on practice. The next set of research objectives in the FrED factory will focus on developing a realistic and interactive digital twin of the factory, immersive technology for collaborative learning, integrating agentic controllers. They will include new downstream manufacturing processes and machines that take as input the fiber from FrED — all to enhance smart manufacturing education.
These goals will be worked on by MIT and Tecnológico de Monterrey students as part of a FrED factory research stay. This program brings Tec undergraduates to MIT to work side-by-side with MIT students — not observing, but fully integrated into the research team. The students then take what they’ve learned back to Mexico, to enhance FrED factories at their home institution.
“Beyond the technical side, FrED gave me memories, friendships, and a lot more confidence in myself than I knew I had,” says Naomi Najera, a Tec undergraduate student who completed a research stay at MIT in 2025. “It also gave me a space where I could make mistakes and learn from them. And also to realize how much I can achieve with my team. That human side of this project really changed my whole experience.”
A recent result from this exchange, announced June 23 by the American Society for Engineering Education (ASEE), a paper entitled “Hands-On Predictive Maintenance Kit for Manufacturing Education: An Accessible Experiential Learning Approach,” written by Tec and MIT students, received the 2026 ASEE Manufacturing Division Best Paper Award.
Shifting classroom learning to factory operations
At MIT’s campus in Cambridge, Massachusetts, passersby can look down into the Building 35 basement windows to see a constant flow of activity, materials, and knowledge in the MIT FrED factory. In Mexico, seven cohorts of students over four years each designed a custom version of FrED and built and operated an automated FrED factory production line. Indeed, FrED has restructured how Tec teaches mechatronics and manufacturing systems. “This collaboration integrates research directly into education,” says Vargas Martinez, “combining learning factories and our manufacturing environments with student-centered research.”
The Tec students’ enthusiasm has led to the launch of an Undergraduate Research Opportunities Program-like curriculum (FRAME: Factory-based Research for All in Mechatronics Education) in Mexico, where first-year undergraduates are working alongside graduate level students in the FrED factory.
“Joining FrED as a first-semester university student has been an amazing opportunity for me to get hands-on experience in real-world projects in areas such as coding, manufacturing, and robotics,” says Katherine Lucia McLean. “It’s helped me grow a lot as an engineering student.”
The FrED factory model forces real leadership behaviors: coordinating multi-station systems, managing bottlenecks, building maintenance logic into the student experience, enforcing quality measurement, and iterating system design year after year. As each class graduates and a new one begins, knowledge is transferred, some of it lost, most of it built upon. In this way, FrED never becomes outdated, as each cohort is reimagining manufacturing technologies and systems for a smarter, more productive factory.
FrED and the FrED factory have momentum. Anthony taught the global capstone course at the Monterrey campus last year, and will expand to teach at all five international Tec campuses in 2027. The FrED Factory Conference will take place at MIT in 2027.
MIT engineers whip up a more breathable hydrogel The new aerated material could enable longer-lasting bandages, implants, and wearable sensors.Hydrogels are squishy, bio-friendly materials that are made mostly of water and a bit of polymer. The Jell-O-like substance is available in the form of medical patches, sprays, and glues, and can be stuck to the skin or implanted in the body to dress wounds, affix implants, and encapsulate and release medicine over time.
For all their sticky, stretchy, and protective properties, hydrogels lack one key trait: breathability. If worn for too long, a bandage or patch can trap moisture and sweat, which can irritate tissues and reduce the effectiveness of any device that a hydrogel adheres.
Now MIT engineers have come up with a recipe for a hydrogel that is both hydrated and aerated, or permeable to air. The new material is just as soft, stretchy, and robust as conventional hydrogels, but a network of tiny tunnels running through the gel allows air to pass through.
The aerated hydrogel can be worn for longer periods of time compared to conventional hydrogels, without causing skin irritation. It can also reduce sweat buildup, even during exercise. In experiments, volunteers wore wireless heart monitors that were attached to their chest with the new breathable hydrogel. After working out regularly for 10 days, the volunteers showed no signs of skin irritation, and the heart monitors maintained clear readings.
The results, which are reported today in the journal Nature, may enable longer-lasting hydrogel products, such as breathable bandages and dressings, cosmetic face masks, and contact lenses, along with better-performing health monitors and implants.
“Water and oxygen are both essential for life,” says Xuanhe Zhao, the Uncas (1923) and Helen Whitaker Professor of Mechanical Engineering, and a professor of civil and environmental engineering, and medical engineering and science. “Now that we’ve added air to hydrogels, people can find broad applications.”
Zhao’s MIT co-authors on the study include Xiao-Yun Yan, Shucong Li, Won Jun Song, Runze Li, Bastien Aymon, Jingjing Wu, Gengxi Lu, Jiayi Liu, Shu Wang, Eric Lu, Hyunhee Lee, James Zhang, Casey O’Brien, and Zachary Smith, along with collaborators from multiple other institutions.
Breathing through Jello
Water makes up about 90 percent of a typical hydrogel. The rest of the material consists of polymers. When mixed with water in a chemical process known as “cross-linking,” the polymers settle into a sort of scaffold that holds the water in place, forming a gel that’s both squishy and stretchy. But because hydrogel’s composition is mainly water, it’s inherently challenging for any air to make its way through the material effectively.
“In general, water is not breathable,” co-lead author Xiao-Yun Yan says. “Hydrogel is 80 to 90 percent water, similar to Jell-O. And you cannot breathe through Jell-O.”
Other groups have tried to design air-permeable hydrogels, mainly taking one of two approaches. The first has been to essentially puncture microscopic holes throughout the gel. Such designs are breathable, but only in air. When they are placed in liquid, the holes quickly clog up.
Researchers have also tried mixing hydrogel with certain polymers, such as silicone, that naturally allow air through. But this approach requires adding a large amount of polymers to the hydrogel in order to create enough permeable space for air to move through the entire gel. These hydrogels end up having a greater balance of polymer to water, making them less hydrated in general.
Zhao, who has been a leader in the development and application of hydrogels, looked to make a hydrogel that lets air through without losing its water-heavy makeup.
“We want to have lots of tiny channels to let air through, while also maintaining lots of water in the gel,” Zhao says. “This was a significant challenge, and something that people thought was impossible to do.”
Highways for air
After several years of investigation, the team hit on an ideal recipe for a breathable hydrogel that minimizes the non-water ingredients needed to let air through. In their new study, they report that the key to the recipe is “phase separation.” A common example of this process is the interaction between oil and water. The difference in the two liquids’ phases cause them to instantly separate. When the two are mixed, oil and water glom to their own kind, while avoiding the other.
Zhao and his colleagues took advantage of viscoelastic phase separation in concocting a breathable hydrogel. For their new design, they mixed their conventional hydrogel recipe with a very small amount of silica aerogel particles, which are essentially “solid-form” air bubbles.
“They are like boba beads,” Yan offers. “The particles are made of silica, which is hydrophobic, meaning that water does not want to leak through them, so they are very stable in water.”
And as it turns out, the particles are similar to oil when mixed with water. The researchers found that when they mixed just a small amount of the particles with a solution of the water-heavy hydrogel, the water molecules glommed together, essentially finding each other faster than the less abundant silica particles. This effect of viscoelastic phase separation created large pockets of water and squeezed the silica particles into skinny, interconnected tunnels. The team observed that after a few hours, this effect formed a network of thin and sturdy, silica-skinned tunnels through which air could flow.
“It’s as if the particles formed a network of connected tunnels, like air-permeable highways within the hydrated hydrogel,” says co-lead author Shucong Li.
Once they confirmed that the network had formed, the team cross-linked the mixture, essentially freezing the gel, and its breathable network, in place. They then tested the gel’s breathability and mechanical performance over multiple experiments, including one in which they asked several volunteers to wear the gel, attached to a wireless electrocardiogram (ECG) monitor, while exercising for 20 minutes. The volunteers also wore monitors with conventional, commercial hydrogel adhesives.
Throughout the workouts, the researchers observed that the breathable hydrogel maintained a strong ECG signal, in contrast to the conventional gel which exhibited significant signal fluctuations.The researchers observed similar results in an experiment with several volunteers who wore the breathable hydrogel and ECG monitor over 10 days.
“We reliably saw that after 10 days, the quality of the ECG signal is still pretty good, and after you take off the monitor, there were no noticeable blisters or redness on the skin,” Li says. “This indicates healthy skin conditions.”
The team also exercised the gel itself, putting it through 10,000 cycles of stretching and compression. After these tests, they found the gel still retained the network of air channels, maintaining its breathability.
“After 10,000 cycles, there was less than a 5 percent drop in oxygen permeability,” Li says. “That matters, because even with your heartbeat, your chest continuously undergoes small strains. So we have to make sure this gel is durable for such daily activity.”
Zhao says the new study provides a novel approach for others to fabricate breathable and multifunctional hydrogels, using the concept of visoelastic phase separation as a guide.
“We’ve discovered that this process can create these air-permeable hydrogels, and we demonstrate one application,” he says. “But we think there can be very broad applications. This is a technology platform.”
This work was carried out in part through the use of MIT.nano’s facilities. This work was supported in part by the MIT Hatsopoulos Faculty Fellowship, the Uncas and Helen Whitaker Professorship, a HEALS seed grant, the National Institutes of Health, the National Science Foundation, and the Department of Defense Congressionally Directed Medical Research Programs.
MIT researcher proposes a way to detect nuclear weapons in spaceThe 1967 Outer Space Treaty bans nuclear weapons in space, but there’s currently no way to verify that satellites aren’t carrying them.In 2024, a U.S. government official warned that Russia could be developing a new satellite designed to carry nuclear weapons into space. The statement followed the launch of a suspicious Russian satellite into low-Earth orbit in 2022, just a few weeks before the country’s full-scale invasion of Ukraine.
A nuclear detonation in low-Earth orbit — the region about 100 miles to 1,200 miles above Earth’s surface — would release trillions of highly energetic electrons that would destroy many of the satellites in space, disrupting telecommunications networks, GPS, space-based internet, and more.
The 1967 Outer Space Treaty bans the placement of nuclear weapons in space, but there’s currently no way to verify satellites don’t contain nuclear weapons. In fact, no verification methods have even been proposed in unclassified, peer-reviewed literature.
Now, MIT Professor Areg Danagoulian is proposing a way to determine if a satellite orbiting Earth contains a nuclear weapon. In a new paper published in Nature, Danagoulian describes his idea for a satellite-based sensor system that could orbit close by a suspect satellite and detect neutrons generated by high-energy protons colliding with radioactive material.
In the paper, Danagoulian calculates that a sensor system the size of a large encyclopedia could detect a nuclear weapon with 99 percent accuracy if it orbited within 4,000 meters of the suspect satellite for about a week. He also estimates that the detection time could be cut to a matter of hours if multiple satellite sensors were used or the sensor satellite was able to get within 1,000 meters of the suspect satellite.
“If we eventually have some verification mechanisms for the Outer Space Treaty, that will put pressure on countries to respect the treaty or disclose what they are doing, because they know if they try to violate it, we will find out,” Danagoulian says. “I very much hope this will turn into a real system, or proof-of-concept system, but the goal right now is to get national labs to use this work for their own research, and to get policymakers to seriously consider this technology as a potential part of national technical means.”
Protecting space
In 1962, the U.S. detonated a 1.4-megaton thermonuclear warhead in space, which unintentionally destroyed many of the early satellites of the era. The blast released enormous volumes of highly energized electrons, and many became trapped in Earth’s magnetic field, where they damage any electronics in their path.
“When you have a nuclear detonation in outer space, basically the whole body of the bomb becomes ionized, and nearly every single electron in the weapon’s mass becomes free,” Danagoulian explains. “It gets injected into what’s called the inner Van Allen radiation belt. Once there, the electrons start hitting everything flying through those belts, causing ionization, radiation damage, and more. As you go further out into space, you create these thick belts around Earth populated by highly energetic protons and electrons.”
The 1967 Outer Space Treaty declared space the “province of all mankind” and banned nuclear weapons in space, among other safeguards. It has since been signed by 118 countries including the U.S., China, and Russia.
Monitoring compliance with the treaty has taken on increased urgency since Russia’s 2022 launch of a suspicious satellite, Cosmos2553, which Russia claims is used for surveillance and sensing. However, U.S. authorities believe it may carry components of a nuclear device undergoing testing, with the possible future goal of fielding an actual nuclear anti-satellite weapon. The detonation of a nuclear weapon at that orbit could destroy many of the U.S. reconnaissance satellites, international communication satellite platforms, as well as the Starlink satellites.
“The Russians launched this satellite in a very strange and unusual orbit because it goes through the most hostile environment possible around the planet,” Danagoulian explains. “No one puts satellites there because it’s highly radioactive. Why would you put a satellite in that orbit? Well, that location is likely the best point for trapping electrons if you were to detonate a thermonuclear weapon.”
Danagoulian notes most research on nuclear detection is highly classified, making it hard to know how much progress has been made in national labs. But he wanted to show that scientifically proving the presence of a nuclear weapon in space is possible.
Particle bombardment
The approach Danagoulian developed centers on a reaction known as spallation, caused by highly energetic protons in radioactive environments.
“When an energetic proton slams into elements with a high atomic number, like uranium and plutonium, each proton may knock out something like 40 neutrons,” he explains. “That’s a ridiculously large number. We’re talking about millions of protons per second per square centimeter, with many of them generating 40 neutrons. The question is can you detect some of those neutrons?”
Normal satellites wouldn’t emit nearly as many neutrons, but there are still naturally occurring protons, neutrons, and electrons in the atmosphere, especially in low-Earth orbit. Danagoulian’s concept uses two panels made up of pixels of neutron sensors known as scintillators that interact with radiation and emit light. The panels are sandwiched between synthetic crystal diamond detectors that allow the system to distinguish between neutrons coming from radioactive materials and natural protons and electrons. The two-panel construction then can be used to estimate the direction of the neutron, allowing it to differentiate between natural atmospheric neutrons and those coming from a suspected satellite.
“Most neutron detectors are very sensitive to protons, so you have to come up with some smart ways to reject protons but keep neutrons,” Danagoulian says. “You also have to tell the difference between naturally occurring neutrons and neutron spallation from the satellite.”
He believes the system, placed inside of an inspector satellite, would be strong enough to survive the harsh environment of low-Earth orbit while also being fast enough to process the protons, electrons, and neutrons that bombard it.
Danagoulian’s calculations on how long the detector satellite would have to be near the suspect satellite give him confidence in the feasibility of the system. If a detector satellite were able to get within 1,000 meters of the suspect satellite, it could accurately detect nuclear weapons in about one hour. That would amount to a single flyby.
Danagoulian calls the paper a feasibility study of the concept.
“I say in the paper this isn’t a completely proven system,” he says. “The purpose of the paper is to show the scientific community that it’s scientifically possible to do this. But there are many more practical considerations to be made to actually build these detectors.”
Danagoulian hopes the study will stimulate further research and development. He is also working with researchers in MIT’s Center for Nuclear Security and Policy (CNSP) to understand the policy landscape around this issue.
If a version of his system is eventually developed, Danagoulian believes it could encourage the nonproliferation that has helped preserve satellites so far. He notes that while adversarial countries are naturally suspicious of each other’s claims, scientific evidence would strengthen trust.
“You can fake intelligence,” he says, “but you can’t fake physics.”
The work was supported, in part, by the National Nuclear Security Administration, the Carnegie Foundation, and Longview Philanthropy.
The brain’s internal rulerA simple brain circuit measures objects’ distance from the body using touch signals from a rodent’s whiskers, MIT scientists find.If you are crossing an unfamiliar room in the dark, you may grope around a bit to get a sense of your space.
But for many animals, feeling out a space comes more naturally. A mouse, for instance, can efficiently navigate in the dark just by grazing its whiskers against walls and other obstacles.
Fan Wang, a professor of brain and cognitive sciences and an investigator at the McGovern Institute for Brain Research at MIT, has discovered how neurons in a mouse’s brainstem use signals from the animal’s touch-sensitive whiskers to estimate an object’s distance from the face.
Her team’s findings, published June 25 in the journal Neuron, unlock key circuitry the brain uses to represent the space immediately surrounding the body.
Mapping space
The circuit the team discovered is part of the brain’s system for creating an egocentric map of space — that is, understanding where things are relative to one’s own body. Neuroscientists know that the brain calls on specialized circuits to understand space in this way, which are different from its system for mapping space using external landmarks.
In their study, Wang and her team explored how the brain maps the space closest to the body, known as the peripersonal space. This is the space in which we move, and it is vital that we understand where things are in relationship to our bodies so we can reach, step, avoid hazards, and otherwise interact effectively with our environment.
Wang says mice were an appealing model for investigating how the brain understands objects’ distance within the peripersonal space, because a rodent’s whiskers seem so much like a built-in set of rulers. These whiskers, which vary in length, are swept back and forth as the animals explore their environment. As whiskers bend and vibrate, the mechanical sensations are relayed to the brain by sensory neurons at their base. Those neurons fire more when a whisker bends close to the face than they do in response to contact near the whisker’s tip, communicating information about the proximity of the touch.
Wang’s team wanted to know if the brain uses these signals to build an internal ruler-like representation of distance more precise than “near” or “far.” To find out, graduate student Wenxi Xiao and Research Scientist Kyle Severson monitored neural activity in a small sensory-processing region in the brainstem where tactile signals from the whiskers first arrive in the brain. They studied what happened there as mice walked on a treadmill while brushing their whiskers against a wall that passed by at different distances.
Many neurons in the region were sensitive to the whisker bending triggered by the wall. Some behaved similarly to the sensory neurons they were getting their information from, firing more when the wall was closer to the face and thus serving as a proximity-based distance code. But other cells were tuned in to discrete distances, firing only when the distance of the wall the whiskers had touched was within a specific range.
The whiskers rule
For some neurons, activity peaked when the wall was 23 millimeters away from the face, near the tips of the longest whiskers. Others responded most when the wall was at intermediate distances. “Each of these neurons represents a specific distance, and together they span the full range reached by the longest whisker, like tick marks on the ruler,” Wang explains. “We call that the map code.”
The team wanted to know how the brain converts proximity signals from different whiskers into accurate map code of object’s distances from the head. “You cannot just listen to individual whisker neurons, because a contact at the tip of a short whisker would be in the middle of a long whisker. You need a brain circuit to build a unified distance map,” Wang says.
Through computational modeling and by exploring what happened when they manipulated neural signaling in specific ways, Wang’s team showed how distances can be calculated by comparing inputs from different sensory neurons. Their findings suggest that each brainstem neuron that makes up the map code receives both direct excitatory inputs from proximity-sensitive whisker neurons and inhibitory inputs from neurons driven by proximity-dependent whisker touch signals.
“Essentially, the inhibitory pathway allows the brainstem to compare two inputs by subtraction,” Wang explains. “If one input signals ‘this is how far it is’ and the other signals ‘this is how far I estimate it to be,’ subtracting one from the other yields an intermediate value. We think it’s a simple and elegant way to transform tactile input into a representation of discrete distance.”
Wang notes that despite their importance, the brain’s body-centered representations of space have so far received little attention from neuroscientists, who know much more about how we understand locations in space relative to landmarks (an allocentric map). She is eager to investigate how the egocentric map code her team discovered is integrated with other brain systems to guide movement, social interactions, and other behavior, and hopes the findings will further exploration from other groups.
The study was funded by grants from the National Institutes of Health.
Many black holes had past lives, new research showsPhysicists have found signs of colliding black holes that are themselves products of previous black hole smash-ups.When a star dies, a black hole is born. This has been the textbook origin story for most black holes. At the end of a massive star’s life, its outer layers blast away in a brilliant supernova, and its core collapses into a gravitationally tight and dense region, forming a black hole.
Recent discoveries from gravitational-wave detectors have revealed hundreds of merging black holes across the universe. Many of them have been thought to come directly from exploding stars. But black holes can also come from other, smaller black holes. The products of previous black hole mergers can, in principle, merge again, creating a more massive black hole. This alternative, black-holes-birthing-black-holes pathway is known as “hierarchical merging.”
Now MIT scientists are finding that a good number of merging black holes may have indeed merged before. They carried out a new analysis of recent data from the LIGO, Virgo, and KAGRA observatories, containing 155 pairs of binary black holes, and found about 14 percent of merging black holes in the universe may in fact be second-generation black holes that formed from the previous merging of two smaller black holes.
The results, which the team reports this week in Physical Review Letters, suggest that repeated hierarchical merging is a significant pathway by which black holes form.
“We’re finding that, for some of these merging black holes, it’s not their first rodeo,” says the study’s first author, Cailin Plunkett, a graduate student in MIT’s Department of Physics. “Overall in the universe, black holes are merging all the time. The question of how often are they repeatedly merging was pretty uncertain. Now we’re seeing a relatively consistent picture where there’s a decent percentage of black holes that are coming from this repeated pathway.”
The study’s co-authors are Salvatore Vitale, associate professor of physics at MIT; Thomas Callister of Williams College; and Michael Zevin of Adler Planetarium and Northwestern University.
Lopsided pairs
When a massive star collapses and dies, the resulting black hole should have very little spin. In addition to losing a huge amount of mass when it explodes, the star should also lose much of its inherent spin, or angular momentum. The black hole left over should then have little to no spin.
In contrast, when two black holes merge, the collision should create a new, wildly spinning second-generation black hole.
“They would be spinning very fast, at about 70 percent their maximum possible spin,” Vitale says.
Scientists suspect that hierarchical mergers occur in dense stellar environments, where stars are so tightly packed together that multiple neighboring stars could die and collapse to form black holes that are then close enough to merge with each other to form second-generation black holes.
“You might have a ton of stars whizzing around each other, and if some are massive and explode, they become black holes. The black holes continue to whizz around, and can capture each other and merge,” Plunkett says. “This process can repeat potentially ad infinitum, by virtue of the fact that you have a ton of stars and black holes in this really dense environment.”
One sign of a hierarchical merger is that one black hole in a pair of merging black holes has a much higher spin, and higher mass, than the other. Such a lopsided duo would signal that at least one of the black holes came from the collision of two previous black holes.
In 2024, scientists detected two such lopsided mergers in signals recorded by the LIGO, Virgo, and KAGRA observatories. The observatories detect incoming gravitational waves — incredibly small wobbles in the fabric of space and time — that are the reverberations from distant cosmic phenomena, such as colliding black holes.
The observatories detected two gravitational-wave signals, labeled GW241011 and GW241110, each of which likely contain a black hole spinning much faster than its partner. The hierarchical mergers were discovered by analyzing each signal in detail to tease out the specific masses and spins of the black holes involved in each merger.
That work inspired Plunkett and Vitale to do a search of similar hierarchical mergers using all the gravitational-wave signals that the observatories have captured to date.
A pattern of wobbles
For their new study, the team analyzed the LIGO-Virgo-KAGRA Gravitational Wave Transient Catalog 4.0 (GWTC-4.0), which comprises gravitational-wave detections from the observatories’ fourth observing run. Rather than analyze each gravitational-wave signal one by one, which is what scientists did for GW241011 and GW241110, Plunkett and Vitale searched for a characteristic pattern of hierarchical mergers across the data overall, to see if any matching signals popped out.
The pattern they searched for represents a range of orbital “wobbles.” Just before they merge, two black holes spiral toward each other in a disk-like, orbital plane. When the spins of the pair are perpendicular to the plane, this remains relatively steady. But when one or both spins are not perpendicular to the plane, the disk will wobble. The degree to which the whole plane wobbles, or “precesses,” can tell scientists about the balance of masses and spins between the two spiraling black holes.
Plunkett and Vitale developed a model for the range of wobbling that should be a sign of a hierarchical merger, specifically between a first-generation and a second-generation black hole.
The team applied the model to the entire GWTC-4.0 catalog, which comprises gravitational-wave signals from 153 black hole mergers, in addition to the signals from GW241011 and GW241110. Their analysis revealed that a number of mergers fit the pattern for orbital wobbling that was likely caused by the colliding of first- and second-generation black holes.
Specifically, they found that roughly 14 percent of merging black holes in the universe may have merged before, and that these second-generation black holes had very particular masses: Black holes of around 10 solar masses (10 times the mass of the sun) and 30 solar masses were run-of-the-mill star-born black holes, while second-generation black holes had masses of around 20 solar masses or 40 solar masses and above.
“One of the reasons why the 40-and-above regime is interesting is, stellar evolution theory predicts you shouldn’t be able to form black holes in that mass range at all from just a supernova,” Plunkett says. “We think supernovae from really massive stars end up being so violent that they leave no black holes at all above roughly 45 solar masses. Yet we have seen black holes that are that massive. And the question is: Where did they come from?”
The team’s new analysis provides support for the idea that black holes can form from the repeated merging of other black holes, and that this alternate origin story could explain some of the curious black holes that we can detect today.
This work was supported, in part, by the National Science Foundation, and the Brinson Foundation.
Hydrogen: clean fuel of the future — if we can find a cheap and clean way to ship itA team led by MIT Energy Initiative researchers developed the HyCAT tool, enabling decision-makers to explore the cost and carbon emissions of their options for shipping hydrogen fuel to their site.Many experts refer to hydrogen as “the fuel of the future.” It is expected to help decarbonize the global economy in two main ways: burning it or feeding it into a fuel cell produces storable energy with no carbon emissions, just water. And it can be used in place of fossil fuels or as a chemical feedstock in hard-to-decarbonize industrial processes such as steel and cement production.
But for hydrogen to realize its potential, two challenges must be overcome. Researchers worldwide are now working to address the first: finding a method of producing pure hydrogen that’s both cheap and low in carbon emissions.
Just as critical is finding a good means of transporting and storing hydrogen. A team led by researchers at the MIT Energy Initiative (MITEI) has been tackling that less-discussed but important challenge. The location where the pure hydrogen is produced is likely to be far away from where it will be used, so moving it will be critical — and difficult.
The problem stems from two characteristics of hydrogen: It’s the lightest gas there is, and it has low energy density per volume. Therefore, delivering a given amount of energy requires a large volume of hydrogen and a container that’s sealed so tightly that the hydrogen molecules can’t escape. Suffice it to say, moving a liquid fuel such as gasoline is easier. And without a good means of storing and transporting hydrogen, it can’t fulfill its promise as the world’s clean fuel of the future.
In 2024, with funding provided by ExxonMobil Technology and Engineering Co. through MITEI, a team of MITEI researchers and their Exxon colleagues began examining various approaches to transporting hydrogen. The researchers have now concluded that there’s no single answer; the cost and carbon emissions from a given transportation method will vary from one location to another. Therefore, instead of presenting a table showing the “best” outcome, the team created a tool that enables users to understand the various options and choose the best option for their particular use case.
The researchers present their study and the tool they developed in a new paper published in the journal Fuel.
The study was led by former MITEI postdocs Gasim Ibrahim, now an R&D engineer/scientist at Honeywell, and Guiyan Zang, former MITEI group lead who is now an associate professor at Washington State University. Additional MIT co-authors include former postdocs Bosong Lin, Jacqueline Garrido, Woojae Shin, and Haoxiang Lai.
The hydrogen challenge and hydrogen “carriers” that can help
The team’s starting assumption was that for hydrogen to become a viable fuel for the world, it would need to be transported over long distances — specifically, overseas, across continents, or across large water bodies. Given the properties of hydrogen gas, it would be best to convert it to some liquid form before shipping.
There are known ways to do that, but what would be best for shipping? How much would various methods cost, and how much would they add to the carbon intensity of the delivered hydrogen?
“There hasn’t been a lot of attention paid to addressing those questions,” Ibrahim says. While some studies have been done, their conclusions are inconsistent and many uncertainties remain, both because the cost and carbon emissions will differ from place to place and because there’s not a lot of data to inform how the large-scale transportation of hydrogen will work.
“So we decided the best thing to do was to develop an adaptive tool that would enable users to perform their own assessments — a tool that could be updated very easily,” Ibrahim explains. “And we would make it open source, so anyone can see and update the numbers that we used in formulating and testing it. As the industry develops, and as scale becomes more a factor, the assumptions made in [our initial] assessments of the economics and the carbon intensity [of different shipping methods] will need to be updated.”
To focus on the transportation and storage issues, their model — called the Hydrogen Carrier Analysis Tool, or HyCAT — doesn’t consider how the starting hydrogen is produced, or how the hydrogen is used after it’s delivered. HyCAT focuses on determining the costs and carbon emissions incurred as the hydrogen is transported and delivered. In addition, while a full life-cycle assessment would include all environmental impacts, HyCAT focuses on emissions of greenhouse gases (GHGs).
The tool is easy to use, says Ibrahim. Built into it is a user interface with drop-down menus for inputting assumptions, and results from an analysis are presented in simple bar charts that include links to tables presenting the details.
Ibrahim clarifies that, while HyCAT has a well-defined boundary — “incoming hydrogen to outgoing hydrogen” — in an analysis of a specific situation, the user will input various factors about the local situation, including the carbon intensity and cost associated with production of the incoming hydrogen. “So that will inform the final values that come out of a HyCAT analysis,” says Ibrahim, and in part explains why the results vary from place to place.
Based on the user’s assumptions, HyCAT calculates the cost and GHG emissions at five steps in the “supply chain”:
Options for liquifying hydrogen gas
The main decision in analyzing the cost and emissions of a proposed hydrogen transport plan is how to convert the gaseous hydrogen to a liquid, and then how to recover the hydrogen gas at the end.
One approach is to simply change the gaseous hydrogen into an easily transportable liquid. But turning hydrogen gas into a liquid requires making it very, very cold. Indeed, notes Ibrahim, “you would need to consume about a third of the energy content of the hydrogen to make the gaseous hydrogen cold enough to liquify.” A further problem arises as the liquified hydrogen is being stored and moved. Unless the vessel containing the liquid hydrogen is properly insulated, the liquid hydrogen can re-gasify and escape. The upside of hydrogen liquefaction is that no chemical reactions are required.
Other options involve using a hydrogen “carrier.” Some liquid chemical compounds will absorb hydrogen atoms under certain conditions, and under other conditions will release them. Therefore, one approach to solving the hydrogen transportation problem is to make a carrier compound absorb the hydrogen where it’s made and then release it when it reaches its destination. This approach therefore involves two chemical reactions — one to bind the hydrogen to the carrier and the other to release it.
In their demonstration runs, the researchers looked at the hydrogen carriers involving three potential compounds, each of which has known advantages and disadvantages.
One of those carriers is produced by adding hydrogen to toluene. That chemical reaction hasn’t been studied a lot, but there’s one known drawback: the source of toluene is typically the oil and gas industry, so the toluene itself has a relatively high carbon intensity when it picks up the hydrogen. Moreover, over time some of the toluene is lost, so more toluene must be added.
The researchers also looked at “synthetic methane,” which is made by reacting hydrogen with carbon dioxide. That reaction has been known for some time. Ibrahim notes that making synthetic methane actually consumes carbon dioxide, often captured from the atmosphere. On the negative side, however, one of the products of the reaction is water, so some of the hydrogen is lost each time the reaction occurs.
The final option they analyzed is ammonia, which forms when hydrogen reacts with nitrogen from the air. That reaction is very well-studied and is used commercially. “We’ve been producing ammonia for a long time,” says Ibrahim. And the infrastructure for transporting and storing it is well established. While Ibrahim refers to ammonia as the “most promising option,” the reaction needed to release the hydrogen has not received much attention.
Varying conclusions and future plans
Based on their sample runs, the researchers observed that the best path to follow will vary from place to place and from situation to situation. “As we developed the tool, we saw that the ‘best’ carrier was very specific to the supply chain at hand,” says Ibrahim. “It’s a function of how far you’re trying to ship your hydrogen, energy and shipping costs at your exporting and importing countries, the capital cost of building the needed facilities at both ends, and more.”
Ibrahim and his team are now planning a follow-up study in which they use HyCAT to analyze specific supply chains under certain conditions. They’ll then select assumptions that are highly uncertain and look at the range of possible values for those assumptions. “Then we’ll be able to say, ‘under these conditions, this carrier is better than that one,’ or ‘this carrier is better at cost, but worse at carbon intensity,’” says Ibrahim.
For now, the main conclusion of the study, says Ibrahim, is that “there’s no conclusion.” He warns decision-makers not to assume that anything they see in the literature can easily be generalized or extrapolated to their specific conditions. Instead, decision-makers should use HyCAT to explore the options available to them. Guided by their results and the objectives and values of their company, they will be able to optimize their supply chains and make clean-burning hydrogen a reality.
Jesse Thaler named director of the Laboratory for Nuclear ScienceThe professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.Professor Jesse Thaler has been named director of the MIT Laboratory for Nuclear Science (LNS), effective Aug. 1. He succeeds Professor Bolek Wyslouch, who directed LNS for the past decade. Thaler is a theoretical particle physicist who combines techniques from quantum field theory and machine learning to address outstanding questions in fundamental physics.
“In his research, Jesse has done pioneering work on particle jets at the Large Hadron Collider and is a leader in combining AI and machine learning with fundamental particle physics,” says Nergis Mavalvala, dean of the MIT School of Science and the Curtis and Kathleen Marble Professor of Astrophysics. “The collaborative nature of his research programs will serve the Laboratory for Nuclear Science as science enters a new era of AI-driven discovery.”
Thaler is the William and Emma Rogers Professor of Physics in the MIT Center for Theoretical Physics — a Leinweber Institute (CTP-LI). Since 2020, he has served as inaugural director of the National Science Foundation (NSF) AI Institute for Artificial Intelligence and Fundamental Interactions, or IAIFI, which was recently renewed for another five years. Mike Williams, professor of physics, will succeed Thaler as IAIFI director. LNS is also poised to pursue new research projects through the Department of Energy’s Genesis Mission, which has a focus on AI-enabled scientific discovery.
“In my own field of particle physics, researchers are developing cutting-edge AI algorithms to handle the data deluge from collider experiments and to perform heroic theoretical calculations. This work has direct implications for discovering new physics, but the algorithms themselves turn out to be valuable well beyond our field,” says Thaler. “I’m excited to bring LNS into the next wave of discoveries supported by AI-driven capabilities.”
At IAIFI, Thaler has championed education and research activities at the intersection of physics and AI. With the MIT Institute for Data, Systems, and Society, IAIFI leadership created a doctoral program in physics, statistics, and data science. IAIFI also created dedicated postdoctoral fellowships to give early-career researchers the freedom to pursue interdisciplinary work.
“Giving young scientists space to build connections across domains, universities, and career stages has been transformative within IAIFI,” says Thaler, who hopes to bring this type of framework to LNS. Established in 1946 to support nuclear and particle physics, LNS now encompasses research spanning cosmology, gravity, field theory, and quantum information science.
As head of LNS, Thaler will also oversee his home center of CTP-LI, which last year received a donation from the Leinweber Foundation to establish a network of theoretical physics research institutes. According to the Science Philanthropy Alliance, a nonprofit organization that promotes philanthropy for science, this constitutes the largest philanthropic commitment ever for this field.
Thaler received his PhD in physics from Harvard University in 2006, and his BS in math/physics from Brown University in 2002. From 2006 to 2009, he was a fellow at the Miller Institute for Basic Research in Science at the University of California at Berkeley. He joined the MIT faculty in 2010.
Discovery helps explain why solid-state batteries often failNew research could help prevent the formation of tiny seeds of lithium metal within the electrolyte, enabling batteries that charge faster and last longer.Next generation batteries that use new electrolyte materials could achieve far higher energy density than today’s lithium-ion batteries, without many of the safety concerns. But advanced batteries, such as those that use solid or almost-solid electrolytes, have been plagued by the formation of tiny spikes of lithium metal called dendrites that cause the batteries to lose efficiency and fail.
Exactly how those dendrites form is still up for debate. While the interface between the battery’s electrolyte and electrodes has been the focus of most research, another culprit is the boundary where two grains of electrolyte in a solid material meet. Researchers know these boundaries can seed dendrites within electrolytes, although the effects have been difficult to study.
Now researchers at MIT and the Technical University of Munich have uncovered why such boundaries can lead to dendrites: Hidden electrical imbalances across the boundaries affect how the electrolyte conducts electrical charges, which influences how the ions and electrons move through the material during battery operation. In a paper published today in Nature Nanotechnology, the researchers characterized the electrical and chemical behavior of the boundaries and showed that adjusting how the electrolyte is processed enhances the movement of ions while reducing electron leakage. This adjustment can increase critical current density by more than 300 percent, which could enable solid-state batteries that charge faster and last longer.
“Grain boundaries are like the weather: Everyone talks about it, but nobody does anything about it,” says senior author Harry Tuller, a professor in MIT’s Department of Materials Science and Engineering. “In this paper, we’ve decided to do something about grain boundaries, and by doing something we’ve shown improved performance and demonstrated the importance of grain boundaries more broadly.”
Joining Tuller on the paper are first author Hyunwon Chu PhD ’25; former MIT professor Jennifer Rupp, the Electrochemical Material Professor at the Technical University of Munich (TUM), who led the study; TUM researchers Waldemar Kaiser, Lukas Wolz, Fran Kurnia, Kun Joong Kim, David Egger, and Johanna Eichhorn; Thomas Defferriere PhD ’22; Willis O’Leary PhD ’24; and University of Antwerp researchers Proloy Nandi, Johan Verbeeck, Sara Bals, and Thomas Altantzis.
Investigating grain boundaries
Rupp’s research group, which moved from MIT to TUM during this research, has spent years studying the behavior of next-generation electrolyte materials. Electrolytes in solid-state batteries are made of many tiny crystals of material packed together.
“What we call a grain, like a grain of salt, is actually a single crystal, but it might only be on the order of 1 micron in size,” explains Tuller. “Under high temperature processes, the best materials essentially consolidate to be void or pore-free and can be nearly 100 percent dense, but each of those crystallites is separated from its neighbor by a grain boundary.”
Solid-state battery researchers have increasingly focused on grain boundaries as the source of the lithium metal dendrites that cause them to short circuit. It’s been suspected that grain boundaries have different chemical and electrical properties from the grains, which interact with the ions and electrons shuttling between electrodes during battery charging and discharging. However, the exact mechanisms by which the boundaries slowed the ions down, leaked electrons, and led to dendrites was unknown.
“Grain boundaries are like defects,” Tuller says. “The boundaries have a higher level of defects than in the grains themselves, and generally that means as carriers of charge approach the boundary, whether electrons or ions, there’s some kind of blockage to overcome.”
To better understand that interference, the researchers developed a model to explain how local electrical imbalances at grain boundaries change the movement of lithium ions and electronic charge carriers. They tested the model in a common solid electrolyte material called lithium lanthanum zirconate, or LLZO, using techniques including electron microscopy, machine learning modeling, and electrochemical impedance spectroscopy, which measures how easily a charge moves through a material.
They found the cores of the boundaries carry a local electrical charge, building up local electric fields that lead to enhanced ionic resistance while causing a build-up of electrons in the boundary region, where they can reduce lithium ions, leading to lithium metal dendrite formation.
“For the last 30 years, the world has been dominated by lithium-ion batteries, but there is a growing recognition that other battery types are needed for batteries used in a variety of uses,” Rupp explains. “This work gives us the fundamental understanding of the space charge interface at the grain boundary. If understood properly, we can come up with engineering concepts to increase cycle life, transference of ions over electrons at these interfaces, and ultimately a better battery.”
Better battery materials
The researchers used their observations to adjust the material processing conditions of the LLZO electrolyte material and minimize the negative charges at the boundaries, finding they could ease the movement of lithium ions and reduce the leakage of electrons.
The modifications allowed them to create an electrolyte that had a critical current density more than 300 percent higher than a baseline sample. Higher current density allows for faster charging and discharging. It should also delay short circuiting to extend the life of batteries.
“Fires are currently a huge issue in the battery industry,” Rupp says. “By showing how to engineer these space charges in a controlled way, which is new in the field, we can have a strong impact on safety. It’s a new way to turn up the notch and get these batteries to charge faster and last longer before they break.”
The findings, along with the researchers’ engineering work, present a roadmap for battery researchers to accelerate the development of high-performance, longer lasting solid-state batteries.
“We showed we can control the initiation of these dendrites to maximize solid state batteries’ high performance,” Chu says. “In this paper, we started with a theory for how these dendrites form, then we did the material characterization to support that theory, then we did the engineering to apply the findings and actually improve battery performance.”
The work was supported, in part, by the National Science Foundation and the U.S. Department of Homeland Security.
Lerna Ekmekcioglu named head of MIT’s History SectionA faculty member since 2011, Ekmekcioglu examines how communities survive, adapt, remember, and make claims on justice under difficult political conditions.Lerna Ekmekcioglu, the McMillan-Stewart Professor of History, has been named head of the History Section, effective July 1.
“Lerna is an exceptional scholar and a proven leader. I am confident that she will guide the unit with thoughtfulness, wisdom, and a deep commitment to its continued success. I very much look forward to working with her in the years ahead,” says Agustín Rayo, the Kenan Sahin Dean of the School of Humanities, Arts, and Social Sciences.
Ekmekcioglu, who joined the MIT faculty in 2011, is a historian of the modern Middle East, the Ottoman Empire, and Turkey, Armenian history, gender, feminism, genocide, and minority politics. She served as director of the Program in Women’s and Gender Studies from 2022 to 2025, where she remains an affiliated faculty member.
Ekmekciouglu succeeds Malick Ghachem, who was named head of the History Section on July 1, 2023.
“As I begin this new role, my first priority is to sustain and expand the remarkable momentum already underway in the unit. It is truly an exciting moment to be head of History,” says Ekmekciouglu. “We have ambitious new initiatives, extraordinary faculty work, and — this is not a small thing — a group of colleagues who actually like and trust one another.”
She cites the History of Now, launched in 2025, as one of several exciting initiatives underway, adding that her role will be ensuring the section’s projects are sustainable, visible, and intellectually fruitful.
“The work ahead is both practical and intellectual: supporting faculty research and teaching, sustaining new initiatives, expanding public engagement, and demonstrating why historical inquiry is indispensable to MIT’s mission,” she says.
Ekmekcioglu’s first monograph, “Recovering Armenia: The Limits of Belonging in Post-Genocide Turkey” (Stanford University Press, 2016), explored the Armenian community in Turkey after the Armenian Genocide and the limits of minority belonging in the early Turkish Republic.
It won the Der Mugrdechian Society for Armenian Studies Outstanding Book Award.
Her forthcoming book, “Feminism in Armenian: Lives and Texts Through Empire, Genocide, and Diaspora,” co-authored with Melissa Bilal of the University of California at Los Angeles, continues her long-standing work on Armenian feminist thought, activism, and archives across empire, violence, and dispersion.
Ekmekcioglu is a 2016 recipient of the the James A. and Ruth Levitan Award for excellence in teaching. She also organizes the biannual McMillan-Stewart Lecture Series on women, gender, religion, politics, and law across the Middle East and North Africa.
Ekmekcioglu earned a BA from Boğaziçi University in Istanbul 2002 and a PhD from New York University in 2010.
Building a scholarly communityThe SHASS Faculty Fellows Program, administered by the MIT Human Insight Collaborative, is fostering new research projects and creating space for supportive and interdisciplinary discussion.On a Wednesday afternoon in April, a cohort of scholars from the School of Humanities, Arts, and Social Sciences (SHASS) gathered in MIT’s Lewis Music Library.
This group of seven professors are the inaugural SHASS Faculty Fellows, a semester-long program launched this past spring. The faculty represent a variety of disciplines across the school. They met biweekly through the spring to connect over lunch and present updates on their respective research projects.
At this particular meeting, associate professor of music Emily Richmond Pollock presented some of her work — a chapter about an opera festival in Sarasota, Florida — which, she says, started from “my own curiosity about how American institutions relate to opera’s traditions and practices.”
After Pollock’s presentation, the group discussed and provided a sounding board for her work. It’s precisely the type of scholarly environment the SHASS Faculty Fellows program was designed to foster.
“The fellows program is a recognition of the fact that not only do we benefit from being in conversation with other scholars, but even more so when in conversation with scholars who do things differently than we do, who approach problems with different opening questions and methodologies,” says Anne McCants, the Ann F. Friedlaender Professor of History and Faculty Fellows Program Committee chair.
Along with committee member and literature professor Arthur Bahr, McCants serves as a kind of moderator during the discussions, asking pointed questions and interrogating participants’ assumptions.
“A small group of people coming from diverse scholarly backgrounds meeting regularly to share a meal and sustained conversation can have a truly outsized impact on their scholarship,” McCants adds.
Time to focus and connect
Faculty must apply to take part in the program, and are selected by the program committee. The program is administered by the MIT Human Insight Collaborative (MITHIC).
Participants take advantage of opportunities to share and discuss ideas with students, too. Volha Charnysh, a Faculty Fellow and the Ford Career Development Associate Professor of Political Science in the Department of Political Science, presented research on the effects of large-scale humanitarian aid to the Burchard Scholars. The Burchard Scholars program connects faculty and promising MIT sophomores and juniors who have demonstrated excellence in some aspect of the humanities, arts, or social sciences.
Projects can run the gamut. Participants might develop scholarly articles, develop book manuscripts, or dig deeper into existing research.
“The Faculty Fellows Program has two primary aims: to enrich faculty members’ scholarly programs, and to foster collegial community within the school,” says Heather Paxson, associate dean for faculty in SHASS, the William R. Kenan, Jr. Professor of Anthropology, and MITHIC faculty co-lead. “Participants in the program gain a better sense of the breadth and depth of our school’s scholarly contributions, and some may forge lasting connections with colleagues they might not otherwise have gotten to know.”
For Pollock, the fellows program this past spring was an opportunity to focus on her current research.
“I’m working on a book about a set of five opera festivals in the United States,” Pollock says of the project, “Opera on Uncommon Ground: Five American Festivals.”
“These are annual, seasonal opera companies where rare repertoire is often performed alongside canonical works, in places that are outside of major cities, and performed in unusual spaces.”
“I hope that anyone who loves opera will be able to read and enjoy my book,” she says, including “opera ‘superfans’” Pollock says she has in mind while writing.
Pollock says the program gave her the space she needed to continue her project. “This semester [in the program] has been wonderful so I could get back to drafting and really concentrate on a book I am excited to write.”
“I am so inspired each week when we meet”
Faculty Fellow Richard Nielsen, associate professor of political science, faculty director of the MIT-MENA Program, and a Security Studies Program affiliate, is hard at work on his project, “Fighting War with Divine Intervention,” a book about how combatants’ beliefs affect wars. Using material from a diverse set of cases — the Islamic State, the Confederate States of America, and the current U.S. engagement with Iran — he wants to understand when claims about divine intervention motivate fighters and citizens to fight harder and longer for victory, even when the state of the battlefield strongly suggests they have lost already.
“We understand a lot about how religion might shape the conditions for war and peace, but religion matters during wars, too, and we understand surprisingly little about how religious claims affect leaders and fighters in combat,” he says.
Nielsen lauds the collegial atmosphere available in the fellows program, citing the importance of engagement with scholars outside his research area as a significant draw. “The best part has actually been the engagement with a diverse set of fellows,” he notes, “pursuing a dizzying variety of humanist and social science projects. I am so inspired each week we meet, and every single project has me exclaiming ‘I wish I was writing this!’”
“It adds a regular ongoing conversation with scholars not like yourself who will push you, likely accidentally, in unexpected directions,” McCants says of the fellows’ meetings. Conferring with other participants about their projects, meanwhile, helps Nielsen “return to my research with fresh eyes and enthusiasm,” he says.
Pollock appreciates the camaraderie available as a program participant. “I value my colleagues so highly — the other fellows and mentors are people I really admire and respect — and it’s been fun to trade work and get to read work in progress far outside my field,” she says.
Twelve professors have been named SHASS Faculty Fellows for the 2026-27 academic year, with six taking part in the fall and another six in the spring.
The inaugural group of fellows included:
Applications for the next cohort of fellows will open this fall.
Why are some bacterial genes high in purines?In certain species of bacteria, the answer lies in shielding RNA transcripts from a quality-control factor called Rho. Understanding the requirements for expressible sequences is critical for expression engineering of therapeutic agents.In the study of bacteria, a longstanding dogma held that two molecular machines — RNA polymerase, which leads the way in transcribing DNA into RNA, and ribosomes, which bring up the rear translating RNA into proteins — worked so closely in tandem that they were effectively attached.
This close coupling of transcription and translation in bacteria was thought to be fundamental to gene expression in part because the trailing ribosome could shield nascent gene products from an effective and omnipresent quality-control protein called Rho.
In bacteria that exhibit something called runaway transcription, however, the polymerase instead speeds ahead, unhitched from its protective ribosome. Inexplicably, however, in bacteria that exhibit this runaway transcription, such as Bacillus subtilis, Rho targeted primarily noncoding, useless RNA products.
New research from the Department of Biology reveals that the secret to Rho’s quality-control specificity lies in the sequence composition of nucleotide bases that make up coding strands of DNA.
“We started with a hypothesis that Rho was regulated by sequence, but the fact that the sequence alone was enough to protect any gene in the entire B. subtilis genome from Rho was really surprising,” says Julia Dierksheide PhD ’26, a graduate student in the Li Lab and first author of a paper recently published in Nature Microbiology. “That’s a really diverse range of sequences — what sequence feature is shared by every single gene in the genome?”
Barricading with bias
Rho serves as a termination factor, meaning that it is a crucial mechanism for preventing bacteria from wasting precious resources by making RNA transcripts that serve no purpose.
All the information a bacterial cell needs is encoded in its DNA, which is made up of two strands of nucleic acids. These strands twist together to form a double helix, with genetic information codified in pairs of bases: purines guanine and adenine are matched with pyrimidines cytosine and thymine, respectively. Any sequence that gives rise to RNA transcripts is stored in complement to a parallel, noncoding strand, meaning that a large portion of genetic material is transcriptionally useless.
Coding DNA strands in certain bacteria were known to be significantly higher in purines guanine and adenine compared to the rest of the bacterial genome. The researchers found that this purine bias alone shields productive mRNA transcripts from Rho-mediated termination.
“I love having a big, complicated dataset and trying to reduce that to biological meaning,” Dierksheide says. “It seems like Rho itself has been broadly shaping the evolution of the B. subtilis genome to create these sequence composition biases.”
Bacterial species that, over generations, have lost Rho no longer exhibit this strong purine bias.
Rho also serves as a regulatory factor in bacteria becoming motile, forming biofilms, or sporulating, all of which are critical for biology and survival. The purine bias could also provide a layer of protection against the insertion of foreign DNA, for example, when a viral bacteriophage infects bacteria.
“Bacteria exist as single cells, so everything that they do, they have to do through gene expression,” Dierksheide says. “Understanding the fundamental details about how gene expression works, how a cell encodes all the information it needs to survive in the nucleotide sequence of the genome, is really exciting.”
Future directions
Although the exact mechanism underlying Rho’s specificity remains unclear, these results crack an underlying code in the composition of bacterial genomes.
Dierksheide said she hoped to perform a similar screen to characterize Rho’s specificity in Escherichia coli, which diverged from B. subtilis on the evolutionary tree an estimated 2 billion years ago and still exhibits coupled transcription-translation, where the transcribing RNA polymerase is closely followed by a translating ribosome.
The high sequence specificity of B. subtilis Rho is crucial for the protection of its runaway RNA polymerase, in which that molecular machine speeds ahead of the ribosome. A systematic comparison to E. coli Rho could help reveal how this heightened stringency arose.
This information will be critical for engineering diverse bacterial species for applications including the production of therapeutic agents. Other bacterial species, such as B. subtilis, may be better models for this process because they have abundant secretion pathways, according to Dierksheide, making it much easier to produce and isolate proteins in large quantities.
“Our findings reveal an important criterion for successful sequence design that must be considered in expression engineering,” says associate department head, associate professor of biology, and Howard Hughes Medical Institute investigator Gene-Wei Li, the lead author of the study. “There are so many cryptic messages in the genome, like the purine bias, and we are just beginning to be able to decipher what they mean.”
MIT in the media: Innovating and educating for the next 250 years of AmericaDuring a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America’s rapidly changing technological landscape.Without federal support for curiosity-driven research, the innovation and talent pipeline that has helped ensure our nation’s prosperity and safety could run dry, warned President Sally Kornbluth during a Washington Post Live event.
During "The Next Generation," a panel discussion moderated by Washington Post reporter Zachary Goldfarb at The Washington Post’s “Building America Summit,” Kornbluth and Arizona State University (ASU) President Michael Crow joined forces for a spirited discussion on the importance of curiosity-driven research, examining how universities are preparing the next generation of scientists to lead in America’s rapidly changing technological landscape.
“Many of the things we have in our everyday lives, whether they be medical advances, technological advances, a lot of these things came from 30, 40, 50 years of scientists just trying to figure out how things work,” emphasized Kornbluth.
Kornbluth pointed to MIT’s curriculum that focuses on teaching foundational skills that can be applied to a myriad of technological advances, skills that will be indispensable to leading in an AI-enabled world.
“I do not think that any of our traditional subjects are now outmoded [by AI]. It’s how you approach them,” said Kornbluth. “In our new curriculum, not only are we leaning into basic STEM fields. We really feel we have to resurrect some of the old, moral and civic and ethical educational goals much more strongly because we want all these kids that are learning to be leading-edge technologists, to come at it from a moral, civic and ethical perspective.”
Artificial intelligence
Key to Kornbluth’s mission is maintaining a human-centric approach to AI. Inspired by MIT’s motto, “mens et manus” (mind and hand), she shared: “We really want students to be able to use physical AI. We want our students to still be able to build things, but use AI as an augmentation tool.”
Kornbluth expressed the importance of teaching interested faculty and students how to best use AI as a tool and her commitment to uplifting student collaboration.
“We’re putting a big emphasis on things like teamwork. So, [students] need to be able to use these tools and come together towards goals, because you could imagine a situation that AI becomes your buddy instead of your study group. We don’t really want that to happen,” said Kornbluth.
Using AI effectively requires writing strong prompts. Kornbluth discussed how foundational knowledge in fields like math, physics, biology and chemistry, along with teaching students how to write and communicate clearly and effectively, enables students to use AI responsibly when it comes to applying these new technologies to scientific research.
Students need to be able “to take that knowledge and think about how they can use AI to the greatest good and also learn to write the right prompts,” said Kornbluth.
Kornbluth noted the MIT Sloan School of Management’s unique role in AI exploration. “It’s because the students are all coming with business experience and the demand out there in the field for them to have really strong AI knowledge is very high,” she said.
The impact of frozen funds
Federal funding fuels curiosity-driven research—the groundwork of medical, technological and countless scientific breakthroughs.
“It is very difficult to make a groundbreaking discovery that’s going to revolutionize human life because you want to do that. You really have to be figuring out how things work and traditionally that sort of research in this country has been funded by the government because it does not have an immediate return,” said Kornbluth.
Discussing issues with federal funding, Kornbluth said that although money has been appropriated for universities, it has not been released to them by and large.
“We’re really trying to figure out what the funding stream is going to be going forward,” said Kornbluth.
When asked about the consequences of these frozen funds, Kornbluth pointed to the long timeline required to develop life-saving treatments.
As one example, Kornbluth pointed to diabetes treatments.
“[Treatments] started with injections of insulin saving people and now it’s automated pumps and CGMs [Continuous Glucose Monitors],” said Kornbluth. “The next phase is going to be an actual functional cure, which is stem cell implantation—masking the cells so they’re not rejected by the immune system. But it takes a lot of basic work to be able to get there.”
“That [diabetes] is just one area. You can extrapolate that to cancer therapy,” said Kornbluth.
Investment in basic research can advance treatments such as immunotherapy.
“Immunotherapy is just in its infancy—it doesn’t work in every possible kind of cancer at this point. But all of the modifications that are being done now in basic science laboratories through to pharmaceutical companies and biotech are making it more and more broadly applicable so that pancreatic cancer is not absolutely a death sentence now,” Kornbluth emphasized.
National impact
Beyond research and AI, the president concluded by highlighting the strength of MIT’s student body, programs, and spinouts.
Kornbluth underscored the value of an MIT education for students and the greater economy.
Twenty percent of MIT’s class of 2029 were first-generation students. Education“is the best pathway to economic mobility,” said Kornbluth.
She continued: “MIT has spun out north of 30,000 companies. The economic impact of MIT on this country is equivalent to the 14th largest GDP in the world. We are having a huge impact on the economy and we’re producing the next generation of talent.”
Though MIT is highly selective, Kornbluth noted it is financially accessible through its free tuition program for students with parental incomes under $200,000. She further highlighted MIT for America, an initiative expanding access to calculus, a required course for institutions such as MIT, in under-resourced high schools nationwide.
Kornbluth and Crow concluded the panel by highlighting how their respective universities learn from one another.
“What we [ASU] learn from MIT is, where’s the edge of technology,” said Crow. “We learn how master technologists, and master scientists work in small groups.” For ASU, which has a student population of over 150,000, “ it’s instructive to learn and then operate at a different scale and in a different way. There’s a lot of back and forth,” he said.
Kornbluth expressed her hope for MIT to continue its longstanding tradition of research and education in service of the nation’s next 250 years.
“As a smaller private institution, we’re putting a much stronger footprint in how we can impact people well beyond the MIT walls,” said Kornbluth, “as well as having a scientific impact on society through our discoveries.”
Boleslaw Wyslouch steps down as director of Laboratory for Nuclear ScienceWyslouch remains the director of the Bates Research and Engineering Center and will continue research on heavy ion collisions.After more than 10 years at the helm of the Laboratory for Nuclear Science (LNS), Boleslaw “Bolek” Wyslouch will step down to continue research in nuclear physics as director of the Bates Research and Engineering Center, a subgroup of LNS.
“LNS scientists, including Bolek himself, are world leaders in particle and nuclear physics,” says Nergis Mavalvala, dean of the MIT School of Science and the Curtis and Kathleen Marble Professor of Astrophysics. “Bolek has ensured that LNS has flourished during his time as director, supporting our teams’ critical large-scale, international, collaborative research.”
The largest university-based program of its kind in the country, LNS was established in 1946 to provide support for basic research in the fields of nuclear and high-energy physics. Wyslouch has served as LNS director since 2015.
Since Bolek’s appointment as LNS director in 2015, he has helped significantly increase the Laboratory’s research volume. This growth reflects expansion across many areas of nuclear and particle physics, with LNS supporting several new faculty members. His vision was instrumental in bringing low-energy nuclear physics into the laboratory as a major new research area, the only subfield of nuclear physics in which the laboratory had not previously engaged.
“The leadership to inspire this capacity growth brought in young and vibrant faculty research groups, which helped lead to the expansion in LNS research volume,” says Rick Peterson, executive director of the lab. “Further, this new technical expertise facilitated new partnerships across the national laboratories, enabling LNS to develop and build a presence at all U.S.-based nuclear physics labs.” Most recently, LNS is engaged in an effort to compete for bids to the Department of Energy’s Genesis mission, a potential source of funding in the AI era.
During his tenure, LNS saw the successful bid for the National Science Foundation-funded AI Institute for Artificial Intelligence and Fundamental Interactions, led by LNS scientists and supporting more than 25 physics and AI senior researchers at MIT and Harvard, Northeastern, and Tufts universities. Last year, the Center for Theoretical Physics (CTP), part of LNS, also received a $20 million donation from the Leinweber Foundation to create a Leinweber Institute within CTP.
“Perhaps most importantly, Bolek led LNS toward a culture where each individual is valued for their own contributions, regardless of their status within a lab group,” says Peterson, adding that he developed new pathways for postdoc support and sponsored other community-building activities.
At Bates, Bolek has led and overseen a wide range of complex engineering and scientific projects. These include the development of advanced particle detectors for major international research facilities such as CERN, Brookhaven National Laboratory, and Jefferson Lab. Under his leadership, the laboratory established collaborations with industry partners on innovative technologies, including next-generation batteries, advanced accelerator systems, and medical applications of nuclear science. Through these efforts, the laboratory is helping advance both fundamental research and the development of technologies with broad scientific and societal impact.
In his own research, Wyslouch is one of the founders and leaders of the relativistic heavy ion program in the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN in Geneva.
Wyslouch studies the interactions between subatomic particles by looking at the very energetic collisions of heavy ions. The earliest runs of the LHC showed that hot plasma strongly suppressed production of high-energy jets, redistributing the jet energy among slow particles. Wyslouch’s CMS group further discovered surprisingly strong collective effects in ion-ion collisions, as well as in proton-proton and proton-ion collisions.
Before joining CMS, Wyslouch conducted high-energy and nuclear experiments at CERN and at the Brookhaven National Laboratory Relativistic Heavy Ion Collider facility, and took a leadership role at Brookhaven in creating PHOBOS, a project designed to create and study a quark-gluon plasma.
After completing his undergraduate work in physics at the University of Warsaw, Poland, in 1981, Wyslouch began his association with MIT as a doctoral student, earning a PhD in physics in 1987. After postdoctoral appointments at LNS and CERN, he joined the MIT faculty in the Department of Physics in 1991. He has also served as the head of the Nuclear and Particle Physics Division of the Department of Physics since 2013.
Wyslouch was recognized for his contribution to education at MIT with a 2004 William W. Buechner Teaching Prize. He was elected as a fellow of the American Physical Society in 2013, and as a member of the American Academy of Arts and Sciences in 2024.
A portable ultrasound system could make reliable breast imaging more accessibleThe new technology, which generates high-resolution, 3D images of breast tissue, requires no expertise to operate and could be used at home.For people at high risk of developing breast cancer, yearly mammograms may not be enough to detect tumors early. To make earlier diagnosis easier, an MIT team has developed portable detectors based on ultrasound, which could be used much more frequently.
In a new paper, the team reports that they have improved the resolution of the images produced by their system, making it easier to spot potential tumors, as well as cysts and microcalcifications. The researchers also created a user interface that makes it simple to use the ultrasound probe, even for people with no expertise in ultrasonography.
This system, they believe, could not only enable earlier detection, but also allow for long-term monitoring following breast cancer treatment — either in a doctor’s office or at home.
“At each time interval, the computer interface guides you to position the device in exactly the same location, which is important for the longitudinal monitoring of a given tissue. It’s very intuitive and quite easy to use,” says Canan Dagdeviren, an associate professor of media arts and sciences at MIT and the senior author of the study.
Former MIT postdoc Md Osman Goni Nayeem and MIT graduate students Shrihari Viswanath and Hyeokjun Yoon are the lead authors of the paper, which appears today in Nature Communications.
Higher-quality imaging
While many people receive annual mammograms to check for breast cancer, it is possible for cancer to develop in between these annual screenings. These cancers, known as interval cancers, tend to be more aggressive, and they account for 20 to 30 percent of all breast cancer cases.
After losing an aunt to an interval breast cancer in 2015, Dagdeviren was motivated to develop a screening technique that would be more effective on women with dense breast tissue and could be performed more often than mammography. She decided on ultrasound, which uses sound waves to create images of tissue. Ultrasounds are often used to follow up on abnormal mammograms, but current ultrasound technology requires large equipment and a trained operator.
Earlier this year, Dagdeviren’s lab published a study in which they demonstrated a small ultrasound probe attached to an acquisition and processing module that is a little larger than a smartphone. This compact system can create a 3D image of the entire breast by scanning just two or three locations.
In the new Nature Communications study, the researchers reported several advances that allow for higher resolution imaging and greater ease of use.
One key advance is the addition of a “backing layer” to the ultrasound transducer. This layer helps to contain and focus the ultrasound waves, improving the resolution and quality of the resulting images. It also increases the range of soundwave frequencies that can be absorbed, and reduces both acoustical noise and electrical noise, further enhancing the images.
“With the backing layer, the device produces more accurate and sharper images, with a wider operating range of frequencies,” Nayeem says.
To further improve the quality of the images, the researchers designed an algorithm that adaptively performs a process called beamforming. This algorithm allows the system to compensate for differences in the speed at which sound waves travel through different types of tissue, such as skin and fat.
“What we are trying to do is predict the speed of sound properties of the tissue you’re imaging, and then use that to reconstruct the image more accurately. We see up to a 10 percent improvement in the resolution just by applying this technique,” Viswanath says.
The researchers asked 10 volunteers, who were not experts in ultrasound technology, to use the system to try to identify small micro targets embedded in a “tissue phantom” — a gel-like material engineered to mimic human tissue. Participants had a much higher success rate locating the spheres when they used the new system than when they used a traditional ultrasound probe.
A user-friendly system
For the new version of this system, the researchers also created a user interface, displayed on a computer screen, that guides the user to place the probe in the correct location. This could be especially important for tracking progression of treatments such as neoadjuvent therapy, or long-term monitoring of known abnormalities such as fibroadenomas or microcalcifications.
In a trial with seven people, the researchers found that the users were able to accurately place the probe in the correct location each time they did a scan.
“Conventionally, you need an operator to move the probe around the breast, but we made a computer-vision interface for users to do it by themselves. This is very user-friendly and it shows live images on the screen,” Yoon says.
For future versions of this technology, the researchers hope to create an interface that could be used with a cellphone or tablet, making the system easier to carry. In addition to enabling earlier diagnosis, this type of system could make ultrasound more accessible to patients in areas where there aren’t enough trained ultrasound technicians, the researchers say.
Dagdeviren and some of her students now hope to form a company to work toward making the technology commercially available. While breast cancer diagnosis is their first target application, they hope to expand it to many others.
“The technology is so versatile that it can be used for any soft tissue imaging, from ovarian cancer to measuring endometriosis progression, or fetal monitoring,” Dagdeviren says.
The research was funded by the National Science Foundation, the 3M Non-Tenured Faculty Award, Lyda Hill Philanthropies, the MIT Media Lab Consortium, and a Tata Center Technology and Design Fellowship.
How urban design leads to better wellnessAn extensive study of U.S. cities identifies walkable neighborhoods, urban greenery, and access to amenities as key contributors to residents’ health.A new big-data analysis of the U.S. pinpoints how urban design aids the health of city residents — especially when cities provide walking opportunities, greenery, and mixed-use streets with a blend of commercial and residential activity.
The study examines tens of thousands of urban census-bureau tracts in the U.S., seeing how city features correlate with population health measures, while accounting for socioeconomic considerations as well.
“We found that on a very large scale, urban planning and design, such as the availability of different amenities and their spatial arrangement, plays a critical role in population health outomes,” says Winston Yap, a visiting scholar at the MIT Senseable City Lab, a postdoc at Cornell University, and co-author of a new paper outlining the study’s findings.
While there is not one design template for all locations, short and well-connected blocks with a variety of amenities, as well as the strategic placement of parks, all help well-being — physiologically and psychologically.
“We usually think about physical health first, but we also found a high correlation between good design and mental health,” says Fabio Duarte, an MIT researcher and co-author of the paper. “If you are walking more, it is not only a matter of physical fitness, but gives people a chance to avoid isolation, have serendipitous meetings with people, and at least see there are others around.”
The paper, “Urban motifs associated with population health,” appears today in Nature Health. The authors are Yap; Duarte, who is associate director and a principal research scientist at MIT Senseable City Lab; postdocs Yu Zheng, Kee Moon Zhang, and Peng Luo, who is also an incoming assistant professor at the University of Iowa; Paolo Vineis, a professor at Imperial College, London; Carlo Ratti, director of the MIT Senseable City Lab; and Filip Biljecki, an associate professor at the National University of Singapore.
Only connect
The researchers say they conducted the analysis not just due to an interest in cities, but out of recognition that health care systems are often swamped, and preventative health measures are ever-more important.
“We wanted to do this study because health care systems around the world are overloaded,” Yap says. “There’s a lot of burden on health care systems, and there is a need not just for treatment but for prevention as well, for obesity, high cholesterol, depression and other mental health issues, and more.”
To conduct the study, the researchers analyzed 28,323 census tracts, using data from the U.S. Census Bureau along with health data from the U.S. Center for Disease Control and Prevention (CDC). They then used geospatial data, including more than 8 million street view images, to see how urban form related to the health status of residents in those areas. The study accounts for socioeconomic factors and other variables in building an assessment of the relationship between design and health. The study confimed that by themselves, socioeconomic factors are associated with urban health disparities; it then examined the relative impact of differences in urban design in those different settings.
“By bringing together open demographic, health, and environmental data, the study highlights the importance of open data accessibility for planning healthy cities,” says Ratti.
The scholars also applied a graph deep-learning model to the data, an emerging machine-learning technique they used to help understand which key factors in urban design are most connected to health outcomes.
The research reveals that in some cases, rectangularity in city blocks, and “building spread,” meaning structures that cover the full size of their lots, can enhance wellness. Examples of this include Manhattan or Boston’s Back Bay neighborhood, where mixed-use buildings on relatively short blocks create many amenities and a variety of walking routes. That said, circular and curving street forms can also work, as long as they feature a lot of interconnectedness as well.
Urban greenery is almost always a significant factor in urban wellness, with parks scoring high as a facet of city design that helps resident health. Beyond that, expanding the tree canopy can also help urban health outcomes.
The presence of cultural institutions and restaurants are also linked to general health, while access to health care amenities are understandably connected to physical health improvements. In general, access to points of interest, broadly defined, whether cultural or commercial, is a significant factor in abetting better health, in cities across the country.
“One of the major contributions of the study is that we look at not only one or two cities, but the entire United States,” Yap says. “In a large-scale study, we were trying to find patterns that were consistent across different urban contexts, as well as populations with different characteristics. Just using this data, we can predict very confidently the population health outcomes for a neighborhood.”
Knowing where to intervene
The research also provides a kind of road map for urban planners and city officials when it comes to policy decisions and local improvements. Among other things, the study suggests where cities might see the greatest return on investment in urban improvements, in health terms. Improvements in lower-income neighborhoods, on aggregate, may generate about four times the added health benefits than the same level of investment in better-off areas that already realize the benefits of good urban amenities.
“It’s important to know where to intervene,” Yap says.
“I think for me it shows how intertwined different policies are,” Duarte adds. “Some funding for urban development could have a direct influence on health, and could be more inexpensive than [direct spending on health].”
The researchers regard the study as just one empirical step in this domain. As they note, additional studies could observe changes over time, to further enhance our picture of the connection between urban design and health. Still, as the authors write in the paper, “we believe that our broad picture provides an overarching scaffolding for the understanding of the social and material determinants of health and can guide [further] analytical studies.”
The research received support from the Campus for Research Excellence and Technological Enterprise (CREATE) program of the National Research Foundation Singapore; the Singapore-MIT Alliance for Research and Technology (SMART); and the MIT Senseable City Lab consortium. It is part of the Largescale 3D Geospatial Data for Urban Analytics project, supported by the National University of Singapore.
The brain’s language network is more extensive than previously thoughtA new study reveals that parts of the brain located far from the canonical language-processing centers are also involved in language comprehension.For decades, neuroscientists have known that specific regions in the brain’s left hemisphere are responsible for processing language. However, a new study by MIT researchers shows that language processing also occurs in many other parts of the brain.
Using functional magnetic resonance imaging (fMRI) data from more than 700 people, the researchers identified 17 additional regions of the brain that appear to play a role in language. These regions are scattered across the brain, including parts of the cerebellum, hippocampus, and cerebral cortex, and they make up about 5 percent of the total volume of the adult brain — about the size of a large strawberry.
“Even though there are all these distant components, it’s pretty restricted in terms of volume. You don’t need that much of the brain to do language,” says Evelina Fedorenko, an MIT associate professor of brain and cognitive sciences, a member of MIT’s McGovern Institute for Brain Research,and the senior author of the study.
Exactly how these regions contribute to language processing is still to be discovered, although the researchers have made some progress toward determining the functions of the cerebellar regions that they identified.
MIT postdoc Agata Wolna is the lead author of the paper, which appears in the Journal of Neuroscience. Other authors include Aaron Wright, a K. Lisa Yang Post-Baccalaureate Research Scholar at MIT; Colton Casto, a graduate student at Harvard University; Samuel Hutchinson, a graduate student at MIT; and Benjamin Lipkin PhD ’26.
Tracking language
The brain’s language processing centers include Broca’s area, first discovered in the 1800s, plus additional regions in the left frontal and temporal lobes of the brain. Scientists have found that some of the corresponding areas of the right hemisphere also contribute to processing language, especially the social-emotional components of language.
There have also been hints that other parts of the brain might be involved in language processing. Early in her career, Fedorenko’s language studies often showed active brain regions outside of the canonical language centers, but she says she was discouraged from including them in her papers.
“When we initially started looking at language, in the first couple of papers, I tried to be comprehensive and include anything that seemed consistent across participants, and there was a huge amount of resistance,” she says. “People would say things like, ‘Well, we know those are not language areas, so please focus on the language areas.’”
In the new study, she and Wolna wanted to revisit those brain scans and see if they could systematically identify language regions outside of the standard language-processing areas.
To do that, they analyzed data from 772 people who had been scanned in Fedorenko’s lab since 2013. Each of these participants underwent a task known as a language localizer, which is used to determine the location of language processing areas for each subject.
During the test, participants read or listen to sentences as well as sequences of nonwords. For each person, the researchers measure the difference in strength of response when reading real sentences or nonsense sequences. The brain areas that work harder during the sentence condition are considered to be doing something relevant to language, especially if they respond while both reading and listening to sentences.
“It’s a very simple paradigm that lets you identify this core language system in individual brains,” Wolna says.
When searching for language areas, the researchers usually use a relatively strict statistical threshold. In this study, they relaxed the threshold and also used some targeted searches in subcortical areas, in hopes of finding all areas that may contribute to language processing.“We always see this frontal temporal network, but there’s quite a lot of evidence that there are other regions that are also critical for language processing,” Wolna says. “By using a laxer threshold and zooming in on areas with weak MRI signal, we tried to maximize the chances of finding small and weakly responsive regions outside of this left frontal temporal system.”
A widespread network
For about 490 of the participants, the researchers also had data on how their brain responded during a spatial working memory task — remembering the locations of flashing squares on a grid. This task engages a brain network called the multiple demand system, which does not overlap with the core language areas.
This task allowed the researchers to ask whether any of the newly identified language-sensitive regions specifically respond to language and not more general cognitive processes.
Of the 17 new language sites that were revealed by this study, five are located in the cerebellum, which is mainly involved in coordinating the body’s movement. In a study published earlier this year, researchers led by Casto found that three of those cerebellar regions also became engaged during some nonlinguistic cognitive tasks, which was also seen in the new study.
“Those areas that respond to both language and some other tasks could be really interesting and important because they may be doing something like integrating information from different cortical systems,” Fedorenko says.
They also found language-selective regions in the medial frontal cortex, the bottom surface of the left temporal lobe, the hippocampus, and the amygdala. The researchers now plan to further study how these brain regions might contribute to language processing.
“We can now test some ideas from past work, and also more rigorously characterize these regions across different kinds of language manipulations, and different kinds of nonlinguistic tasks, to try to understand what it is that they’re doing,” Fedorenko says.
The research was funded by the Simons Center for the Social Brain at MIT, the McGovern Institute, MIT’s Department of Brain and Cognitive Sciences, and the MIT Siegel Family Quest for Intelligence.
MIT-Kalaniyot program expands, with new cohort of scholars The innovative effort bringing researchers from Israel to campus keeps growing while enhancing community connections and academic inquiry.As a new academic year dawns, the MIT-Kalaniyot program is welcoming its second cohort of scholars to campus, expanding an innovative effort to build new connections between MIT and researchers from Israel.
In fall 2026, MIT-Kalaniyot has 11 new scholars arriving at MIT to pursue research, collaborating with Institute faculty across a wide variety of disciplines. They consist of seven new Kalaniyot Postdoctoral Fellows and four new Kalaniyot Sabbatical Scholars, who are faculty on leave from institutions in Israel.
It is another step forward for a program which, less than two years ago was still an idea on a drawing board. The project aims to enhance research and create stronger community ties — not only among those connected to the program, but across the MIT campus.
“The goals of the program are to build academic ties between MIT and Israel, alongside a strong, supportive community,” says Or Hen, an MIT nuclear physicist and a co-founder of MIT-Kalaniyot. “MIT has a mission that revolves around research, education, and entrepreneurship, and MIT-Kalaniyot strengthens MIT, to help meet that mission for the world.”
The scholars will be working on a wide range of topics, including mathematics, materials science, behavioral economics, architecture, modern history, chemistry, quantum computing, and computational methods for examining cellular activity.
“We designed Kalaniyot to strengthen MIT’s research and its community at the same time,” says Ernest Fraenkel, a professor of biological engineering and a co-founder of MIT-Kalaniyot. “We now have scholars in the program working in each of MIT’s five schools. The academic breadth shows our model is working.” MIT-Kalaniyot will also feature its first teaching fellow at the Institute, hosted by MIT’s History program.
MIT-Kalaniyot was founded by Hen and Fraenkel as a constructive response to discord over conflict in the Middle East. Hen is the Class of 1956 Associate Professor of Physics and associate director of the Laboratory for Nuclear Science; Fraenkel is the Grover M. Hermann Professor in Health Sciences and Technology.
Fraenkel and Hen credit multiple members of MIT’s community and upper administration for backing the MIT-Kalaniyot idea from the start, making it feasible for the program to launch.
“When we first shared the idea, we were very encouraged by the response from MIT’s senior leadership,” Fraenkel says. “They understood the value of a faculty-led effort, and their constructive response gave us confidence that our approach could be successful.”
“This would be impossible to do the way we’re doing it without the administration’s support,” Hen says. “The program is faculty-led and institution-backed. That’s what you want.”
Hen adds: “I think MIT today is home to one of the most, if not the most, accepting and welcoming communities for Israelis, and I can stand by that statement very strongly. The way our community grew these past years is remarkable.”
Embedded at MIT
MIT-Kalaniyot, named for a well-known flower that grows in Israel and other parts of the region, welcomed its first cohort of scholars to the MIT campus for the 2025-26 academic year. Hen and Fraenkel also give Tal Cohen, an associate professor in MIT’s Department of Civil and Environmental Engineering, substantial credit for developing the concept.
Scholars at Israel’s nine state-recognized universities are eligible to seek the MIT-Kalaniyot fellowships, which enable research, collaboration, and training at the Institute. The scholars come from a range of academic and personal backgrounds, including both Arab and Jewish citizens of Israel.
The program is highly competitive, with many more applicants than positions currently available. Applicants are encouraged to identify in advance MIT faculty they would like to work with; accepted applicants then already have a “faculty host” lined up. Many of the new fellows will be working with researchers in established MIT labs, for instance.
“When they’re here, they are treated exactly like anybody else in an academic unit at MIT and that’s really important,” Fraenkel says. “They’re embedded in these places.”
The program is also intended to generate the kinds of community connections that help scholars flourish, both professionally and personally. MIT-Kalaniyot features weekly lunches, attended by people from the larger community, where scholars can forge connections and friendship.
The program also features informal academic talks and discussions, with the talks given by MIT researchers both within and outside of MIT-Kalaniyot. Hen, for one, has already seen the benefits of such events; one paper he has recently co-authored directly stemmed from discussions he had at a program event.
“The range of MIT faculty who stepped forward as hosts has been one of the most gratifying parts of the program,” Fraenkel says. “It shows that this is not confined to one field or one corner of the Institute. It is becoming part of MIT’s broader academic life.”
Adds Hen: “I think it sends a very strong and important message. We’re able to move forward at MIT and build collaborative partnerships with strong ties.”
An additional facet of the program is the potential impact of MIT-based research in practical, tangible ways. One of the 2025 fellows, a leading physician, focused her MIT work on new methods of breast cancer detection, and now, back in Israel, is working to apply those findings in active medical settings.
Plans for future growth
Having first taken root at MIT, the MIT-Kalaniyot concept is now spreading to other places. In the last two years, Columbia University, Cornell University, Dartmouth College, Harvard University, the University of Pennsylvania, and the University of Southern California have implemented the concept, with other universities in the process of adopting it as well.
“This national movement all started by replicating the MIT model,” Hen says. “Each university then innovated in their own way. They start from the MIT approach, and then they adapt to what’s happening on their campus. They learn from us, we learn from them, and together we support a broad academic network.”
The progress at MIT and elsewhere has led Hen and Fraenkel to feel optimistic about the ongoing evolution of MIT-Kalaniyot.
“We started at a tense time on our campus, not really knowing what the future would hold, and it’s exceeded our hopes,” Fraenkel says. “Now we want Kalaniyot to become a recognized center at MIT, funding seed grants for research that wouldn’t happen any other way.”
While Fraenkel and Hen do not yet have a firm timetable for those developments, they regard them as being realistic.
“Now we see Kalaniyot as a program that helps MIT well beyond our community,” Hen says. After all, he observes, simply as a vehicle for research, the program has the potential to provide added capacity for MIT, as well as the further connections to top scholars being generated by the effort.
Indeed, Hen reflects, he is motivated the question: “How do we best support MIT in realizing its mission for the world?” Overall, he says, “I think that’s the ultimate goal of Kalaniyot. We do it in one way, other people can do it in other ways, and as long as you do net good, and support the MIT mission, we value and treasure that, and just want to be part of it.”
“I really believe this is the DNA of MIT,” Fraenkel says. “We’re all about finding practical solutions to society’s biggest problems. Kalaniyot brings extraordinary people here to do exactly that, and the whole Institute is stronger for it.”
MIT student teams win top honors in NASA competitionThree MIT teams took five top awards in the 2026 NASA RASC-AL Competition for designing critical elements for the moon base and future missions to Mars.Three teams comprising 35 students across eight different MIT departments and Wellesley College have been at work since fall 2025, designing critical early infrastructure elements that a moon base would require. This June, their designs were recognized with five awards at NASA’s 2026 Revolutionary Aerospace Systems Concepts — Academic Linkage (RASC-AL) Forum.
Among 75 submissions and 14 finalists, the MIT teams earned first and second place in the competition, as well as three best-in-theme awards. The Exploration-Class Lunar Integrated Power SystEm (ECLIPSE) team won first place overall and first in its theme category, lunar surface power. The communications and navigation constellation team, MELIORA, won second place overall and first in its theme category on Mars communications, position navigation and timing, which included a strategy for proving the design at the moon. And CHEESEBURGER, a campaign to mine and process lunar regolith into oxygen, metals, and bricks, won first in its theme category, lunar technology demonstrations.
“NASA spent the spring telling the world what critical early infrastructure their upcoming permanent moon base will need,” says George Lordos, a research scientist and lecturer in the Department of Aeronautics and Astronautics (AeroAstro) and in System Design and Management (SDM), who co-advised all three teams. “Over 30 MIT students spent this academic year designing much of the moon base — systems for generating, storing, and distributing power; robust systems for positioning, navigating, and communicating; and early experiments with essential technologies to live sustainably off the moon’s own dirt.”
A power grid for surviving lunar night and winter
The hardest constraint on NASA’s moon base is staying powered, because a failure in life-support power would doom the crew within hours. ECLIPSE is a reference design for a lunar grid engineered to stay up for more than 99.995 percent of the time — fewer than 27 minutes of downtime a year in the worst-case scenario, the standard demanded of the most critical data centers on Earth. It pairs two power sources that fail in different ways: banks of 20-meter solar masts in the sunlit highlands near the south pole, and, for the roughly 18-day stretch each year when the sun drops below the horizon, a pair of buried 20 kilowatt microreactors the team named CARROT, (Compact Autonomous Regolith-shielded Reactor Operating for Ten years). The CARROT reactor, a novel design developed independently by the ECLIPSE team, ended up being similar in design to NASA’s SR-1 reactor for the 2028 mission to Mars, both aiming to maximize speed-to-deployment.
“Burying each reactor 1.3 meters down shrinks the keep-out zone from kilometers to meters, so crews can work nearby, and it saves tons on required shielding mass,” says Taylor Hampson, a PhD student in the Department of Nuclear Science and Engineering and ECLIPSE team co-lead.
The full design delivers an initial 120 kilowatts using a grid of buried aluminum cables and shielded direct-current power equipment. Laser-equipped rovers provide “Frontier Power” capability, beaming up to 10 kilowatts to sites beyond any cable, from a shadowed crater to a new outpost before its own grid exists. Patrick Riley, a graduate student in the Department of AeroAstro and ECLIPSE team co-lead, says the design’s point is to put reliability ahead of mass: “We sized it so the most likely failures never reach the moon base inhabitants, and so it scales from a first crew of six up to industrial demand without interrupting a commercial lunar economy.”
A network for exploring the moon and Mars, and calling home
MELIORA acts as the base’s relay and GPS. Although RASC-AL framed the communications, positioning, navigation, and timing competition sub-theme around Mars, the team also proposed a plan to validate their design in lunar geometry first, in step with the agency’s strategy to prove technology on the moon before extending it to Mars. To find the best design, the team ran a trade study across 5,764 candidate constellation geometries. The result grows from an initial three satellites to 23, returns more than 100 megabits per second to Earth-orbiting data networks over free-space optical links, and pins a user’s position to within 10 meters. For the Mars design, four relay satellites parked at gravitationally stable Lagrange points keep the link alive even during solar conjunction, the weeks when the sun sits between the two worlds and ordinarily cuts communication. On the surface, a user needs only a portable radio terminal and a chip-scale atomic clock — a timekeeper the size of a matchbox.
“You should never have to think about whether the network is there — it just is, the way you don’t think about a cell tower,” says Ekaterina Tiukhtikova, an undergraduate studying both AeroAstro and electrical engineering and computer science (EECS), and a MELIORA team co-lead. “We put almost all the complexity up in orbit, so everything on the surface stays portable and simple,” adds Clayton Lieberman, a graduate of the SDM program and team co-lead who wrote his thesis on MELIORA.
Making oxygen, metal, and bricks from lunar dirt
After power and communications, the third essential pillar of a lunar base is living off the land. The moon’s own regolith can supply oxygen to breathe and burn, metal to build with, and shielding to hide behind for protection from deadly radiation. CHEESEBURGER is a campaign of five robotic payloads that prove the supply chain one link at a time, followed by integration of the five into the first end-to-end lunar industry.
The payloads carry a kitchen’s worth of names: SWISS prospects for the richest ore, BRIOCHES digs and sorts the regolith, BACON casts it into bricks, GRILLED MEAT melts it electrically to pull out metal and oxygen, and AVOCADO is the robotic builder that stacks the products into structures, including interlocking Moon BRICCSS that shield a habitat from radiation. The food theme was born during a January team outing at Sandwich, Massachusetts. “Naming the prospector SWISS and the metal extractor GRILLED MEAT turned a wall of acronyms into something the whole team could enjoy,” says Cesar Meza, a graduate student in AeroAstro and CHEESEBURGER co-lead. “It sounds like a joke until you see that each acronym clearly describes a serious piece of hardware doing one job in the pipeline.”
Thirty students, eight departments, and three teams for one moon base
More than 30 students contributed across the teams, from AeroAstro, SDM, Nuclear Science and Engineering (NSE), EECS, Mechanical Engineering (MechE), the Technology and Policy Program, the MIT Sloan School of Management, and Earth, Atmospheric and Planetary Sciences (EAPS), along with a student from Wellesley College. Several student mentors and faculty advisors worked across more than one team, which is why ECLIPSE’s grid is sized to power CHEESEBURGER’s processing, CHEESEBURGER’s regolith handling is used to bury and shield ECLIPSE’s grid, and all three projects are designed to translate moon base lessons for a future mission to Mars. The teams were advised by Olivier de Weck, the Apollo Program Professor of Astronautics and Engineering Systems and interim department head of AeroAstro, who led ECLIPSE; Kerri Cahoy, the Sheila Evans Widnall Professor of Aerospace Engineering, who led MELIORA; Jeffrey Hoffman, professor of the practice in AeroAstro and a former NASA astronaut, who led CHEESEBURGER; Koroush Shirvan, Atlantic Richfield Career Development Professor in Energy Studies in Nuclear Science and Engineering, who co-advised ECLIPSE; and Lordos, who co-advised all three. Much of the day-to-day mentorship work is led by PhD student volunteers and runs through the MIT Space Resources Workshop, which Lordos founded in 2019.
“The winning teams demonstrated how academic innovation can support Artemis mission goals,” says Daniel Mazanek, RASC-AL program sponsor and senior space systems engineer at NASA’s Langley Research Center, in NASA's announcement of the awards. “Their work highlights the important role student research plays in shaping future space exploration.”
NASA expects astronauts living on the lunar surface for months at a time by the early 2030s — the window ECLIPSE, MELIORA, and CHEESEBURGER were designed for. The picture the three teams had worked toward is unified: a crew at the lunar south pole, the lights on through the winter night, the network always up, and the first oxygen and bricks coming out of the ground beneath them.
“A permanent base is no longer a slide in a strategy deck; NASA begins landing the first elements in 2027,” says de Weck. “Studies like these three let the agency see, before the concrete sets, how its power, communications, and resource choices depend on one another. That is precisely when independent, integrated architecture work has the most influence on the real plan.”
RASC-AL is administered by the National Institute of Aerospace on behalf of NASA. MIT has a long record in NASA’s student design competitions, with recent winning teams including the HYDRATION Mars water production system, the Pale Red Dot Mars homesteading architecture, the deployable lunar tower MELLTT, the MARTEMIS lunar Mars analog campaign, the MAPLE autonomous lunar robot pathfinding system, the CERBERUZ lunar recycling project, and the THERMOS cryogenic fluid management system. This work was supported in part by NASA, the Massachusetts Space Grant, MIT AeroAstro, and the MIT Space Resources Workshop. One student was supported by a NASA Space Technology Graduate Research Opportunity Fellowship.
The full teams:
ECLIPSE — Team leads: Taylor Hampson (graduate student, Nuclear Science and Engineering) and Patrick Riley (graduate student, AeroAstro). Reactor team: Liliana Arias, Sydney Menne, Julian Rocher and Pavel Shilenko (graduate students, NSE). Power management and distribution team: Evrard Constant and Mary Foxen (graduate students, AeroAstro), Janhavi Joglekar and Asma Patel (undergraduate students, AeroAstro). Solar and architecture team: Zachary Dawson (graduate student, System Design and Management), Sreeja Akula and Ian Jimenez (undergraduate students, AeroAstro; EAPS), Yohan Lim (graduate student, AeroAstro/Technology and Policy Program), CJ Taglienti (graduate student, AeroAstro/MBA). Student co-advisors: Yana Charoenboonvivat, Lanie McKinney (AeroAstro), Palak Patel (MechE). Industry mentor: Sully Marigliano-Crevecoeur (Technetics). Faculty: Olivier de Weck (lead) and Jeffrey Hoffman (AeroAstro), George Lordos (AeroAstro and SDM), and Koroush Shirvan (NSE).
MELIORA — Team leads: Clayton Lieberman and Katiyayni Balachandran (System Design and Management), Ekaterina Tiukhtikova (undergraduate, AeroAstro and EECS), Celvi Lisy (AeroAstro). Team members: Thomas Harrington and Zachary T. Barnes (SDM), Asael Acosta (undergraduate, AeroAstro). Student co-advisor: Lanie McKinnery (AeroAstro). Faculty: Kerri Cahoy (lead), Jeffrey Hoffman and Olivier de Weck (AeroAstro), and George Lordos (AeroAstro and SDM).
CHEESEBURGER — Team leads: Cesar Meza (graduate student, AeroAstro) and Elizabeth Romero (undergraduate, AeroAstro). Team members: Rachel Dunphy, Shreya Kothnur, Hailey Polson (undergraduates, AeroAstro), Christopher Kwon, Jose Soto, Lanie McKinney (graduate students, AeroAstro), Marvin Martinez (undergraduate, MechE), Ananda Santos Figueiredo (graduate student, Technology and Policy Program), Evangeline Haiqi Wang (undergraduate, Computer Science and Psychology, Wellesley College). Faculty: Jeffrey Hoffman (lead) and Olivier de Weck (AeroAstro), and George Lordos (AeroAstro and SDM).
MIT researchers advance toward greater bandwidth, more energy-efficient communicationsThe FUTUR-IC research program integrates electronics and photonics in microchip systems.An MIT-led research program aimed at creating future microsystems capable of sustainably transmitting data with greater bandwidth and higher efficiency than is possible today has made several significant advances since it was established in 2022.
These include the invention of devices within systems that can much more easily integrate electronics — manipulating data with electricity — with photonics, which does the same with light. The microsystems, the first of their kind, also promise to be cost-effective because, among other advantages, they can be manufactured using existing equipment in traditional electronics foundries and packaging houses.
“Our disruptive electronic-photonic integrated solutions will enable us to leap from [transmitting data at] hundreds of terabits per second to greater than 1 petabit per second,” said Anu Agarwal, who leads MIT’s FUTUR-IC, at an April webinar titled, “Shaping the Future of Semiconductors: Power, Performance, and Possibility.” The event was sponsored by the MIT Industrial Liaison Program and Startup Exchange.
An advanced system using co-packaged optics can provide improved bandwidth and energy savings compared to what is used today, which is electronics-only or pluggable optics.
Toward sustainability
The microchips behind everything from smartphones to medical imaging can be traced to about 500 megatons of carbon dioxide-equivalent lifetime emissions in 2021, and every year the world produces more than 50 million tons of electronic waste. Further, the huge data centers necessary for complex computations like on-demand video are growing, and will require close to 10 percent of the world’s electricity by 2030.
“This is neither scalable nor sustainable, and cannot continue,” Agarwal has reiterated over the years. FUTUR-IC, funded by the National Science Foundation Convergence Accelerator, was created to address these resource-efficiency issues.
For example, integrating photonics with the electronics that underpin today’s microchips could address energy use because the transmission, or communication of data, using light is much more energy efficient. “Our mantra is to use electronics for computation and photonics for communication to bring this energy crisis under control,” says Agarwal.
Currently, however, it is difficult and expensive to connect electronic chips with their photonic counterparts within a single package. That’s partly because the supply-chain ecosystem for co-packaged optics is still immature.
New devices
Enter two new devices developed through FUTUR-IC aimed at making it easier — and less expensive — to integrate photonic chips with microchips. One, the evanescent coupler, was featured on the cover of Advanced Engineering Materials last year. Another, known as the graded index coupler (GRIN), was reported in the March 2026 print issue of the Journal of Physics: Photonics.
A third new coupler was developed by an MIT team led by Professor Juejun Hu of the Department of Materials Science and Engineering. It was reported in a 2023 issue of Laser & Photonics Reviews. That work was supported by the Department of Energy.
The three couplers are the first optical equivalents of “solder bumps,” or the tiny dots of metal that allow chip-to-chip or chip-to-substrate connections for electron flow. Until this MIT work, there were no analogous “optical bump” options for photonics.
And if photonics is to be integrated with electronics, “you’ll need both metal bumps and optical bumps, because there are devices on your photonics chip that will require both an electrical signal and an optical signal,” says Drew Weninger PhD ’25, first author of the papers on both the evanescent and GRIN couplers. Weninger is now at the National Institute of Standards and Technology.
As with electronics, many options of optical bumps will be necessary, as “each type has substantial trade-offs,” wrote Weninger and colleagues in a review article in Nature about coupler advances published earlier this year.
For example, the GRIN coupler can be used over a wider spectrum of light than is possible with the evanescent coupler, Weninger says. The evanescent coupler, however, is easier to fabricate and can be packed in tighter to form a higher number of connections.
Additional advances
FUTUR-IC is organized into three dimensions: Technology (the coupler work is a good example), Value Chain Innovation, and Workforce.
Under the Value Chain sector, researchers developed a new tool to support companies’ decisions toward sustainability. Earthster provides a visual model for quickly determining the energy, materials usage, and environmental sustainability across a company’s products. For example, says Agarwal, “looking at [Earthster], a supplier can tell right away their hot spots for carbon emissions, and start working to minimize them.”
FUTUR-IC has also developed several programs aimed at developing a future workforce for next-generation microchips. For example, “it is introducing an online course on semiconductor resource efficiency,” Agarwal says. “We also offer gamified digital learning and problem-based learning, plus a summer academy and a hands-on bootcamp.” For K-12 awareness, FUTUR-IC has created TED-Ed videos.
Agarwal concluded her April webinar by acknowledging the range of industries FUTUR-IC aims to help. “If you’re a packaging vendor, a materials vendor, or you are in the supply chain for data centers, FUTUR-IC can provide value.”
Additional authors of the paper on the GRIN coupler are Agarwal; Lionel Kimerling, the Thomas Lord Professor in the Department of Materials Science and Engineering; Christian Duessel BS ’25, now at SiLC Technologies, a silicon photonics company; and Samuel Serna, professor of physics, photonics, and optical engineering at Bridgewater State University.
Additional authors of the Nature review paper are Serna; Luigi Ranno PhD ’25, now at Ayar Labs; Kimerling; and Agarwal.
Q&A: What is agentic AI today, and what do we want it to be?Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35 percent of surveyed businesses had already deployed AI agents, while another 44 percent planned to implement agentic AI soon.
To understand the fundamentals and potential impacts of these increasingly popular tools, MIT News spoke with Phillip Isola, an associate professor in the Department of Electrical Engineering and Computer Science (EECS) and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), who studies the intelligence AI agents possess, as well as the underlying models and mechanisms that power agentic AI systems.
Q: What is agentic AI and how is it different from generative AI models like ChatGPT and Claude?
A: Agentic AI is AI that takes actions in the world. These actions could be a physical action, like robotic manipulation, or a digital action, like booking a flight. On the other hand, we think of generative AI as making up stories, poems, art, and images, rather than taking actions for us.
The word “agent” is just a brand name. It usually means AI that is going to help people interact with an application, a website, or the physical world. Most agents we encounter today are digital agents, like customer service agents you can talk with about product complaints.
Most companies that offer agents use the same few AI models under the hood and give them the ability to take actions and remember what happened. An agent starts with a fundamental generative AI system, like Claude, at the core. Then companies put different wrappers around that foundation model for their product or application. Those wrappers might be specific tools that agent can use, and those tools depend on the application. Maybe the agent has access to a calculator so it can solve math problems, or maybe it has access to a more complicated hard drive and operating system so it can remember a firm’s financial data and past business negotiations.
The biggest challenge in developing agentic AI comes from a lack of training data. If I want to create a system that can go online and book a flight for me, that seems pretty simple. But we don’t have a lot of data that spells out exactly how to do that — where to move the mouse, which buttons to click on, what to do if something goes wrong, or how to call somebody and negotiate about the price of the airline ticket. One way to train a system like this is to have the AI agent visit airline websites, try things out, and see what works and what doesn’t work. These environments are hard to model, so often the agent must learn by trial and error.
Q: What are some promising applications of agentic AI?
A: I think the area where we’ve seen the most success has been with coding agents. This is something that evolved from generative AI. People trained language models on code, and then they can predict what a human would do to solve a coding problem. In addition, an agent can learn to do this by going through a feedback loop where it tries out different solutions and checks to see if it got the answer right. As long as it can check the answer, the AI agent can perform this trial-and-error loop until it figures out a good strategy.
But there is always a balance between automating decision making versus simply assisting and informing humans. Analytical AI methods, like the systems that help predict possible outcomes of decisions, are not agentic in nature, but are very informative to human decision-makers. For cases that are either high-stakes or safety-critical, like medicine, security, high-level business policies, etc., the technology might not be ready for AI to completely automate those processes, or we might not even be comfortable with that.
Q: Are there risks we should be thinking about when using AI agents?
A: One big risk area comes from the fact that it is often very easy to get agents to do certain types of work for you. With coding agents, you can “vibe code” and just ask the agent to make a code for you, so you don’t have to do the hard work yourself. There is a big risk that, because it is so easy, people will not put enough effort into verifying that it is doing the right thing. Bugs will be introduced, private data will get leaked — this is already happening.
Agents aren’t perfect, in the sense that they might make mistakes because they are not well-trained and don’t know what to do. But even if they are very competent, if a human doesn’t use them appropriately or gives them an instruction that is too vague, the AI agent could make a mistake because the human made a mistake. If humans are less involved in thinking through all the consequences, I think we might be more prone to making those mistakes.
An additional aspect is the risk of de-skilling. It is unclear how far this will go, but when we are relying on agents to do our homework, our coding, and our math, we might lose the ability to do that ourselves, and we might lose that ability too soon because the technology is not yet ready to fully automate those processes.
Q: What does the future hold for agentic AI?
A: What we think of now as agentic AI refers to large language models using tools to interact with digital and physical systems. One obvious limitation is that, under the hood, these have the architecture of a language model and are trained on text data. To make even more powerful AI agents, we might need to model videos, physical forces, time series, radar scans, and other modalities. We might need to have models with fundamentally different architectures that can handle continuous data, high-dimensional data, stochastic data, and so on.
But, on the other hand, maybe an extremely good coding model could act as a puppeteer to interface with sensors, actuators, and web APIs? Perhaps, once you have a super-smart reasoning system that understands math, language, and code, you can give it a camera and a keyboard and it will figure out what to do in the spatial domain. Is the next wave of AI just going to be Claude with sensors, actuators, and tools, or is it going to be something built in a new way from the ground up? That’s the big question a lot of people in AI are grappling with right now.
Scientists find ozone depletion began decades before discovery of ozone holeUsing modern tools, they also determined that carbon tetrachloride, used as a dry-cleaning and degreasing agent as early as the 1930s, was at the root of early ozone loss.The Antarctic ozone hole was discovered in 1985, when scientists observed a severe depletion in the Earth’s protective layer of stratospheric ozone. Industrial chemicals known as chlorofluorocarbons (CFCs), then widely used as refrigerants, propellants, foam-blowing agents, and solvents, were at the root of the ozone depletion. After concerted global effort to phase out the use of CFCs, ozone today is recovering, especially in the Antarctic.
The discovery of the ozone hole was possible thanks, in part, to the measurement tools that were available at the time. Advances in those tools, along with satellites and other monitoring technologies, have since allowed scientists to track ozone’s recovery.
But what if today’s tech was available much earlier? Would scientists have been able to spot even earlier signs of human-induced ozone depletion? And if so, when would those first signs have popped up, and where?
MIT scientists now have some answers. The team, led by atmospheric chemist Susan Solomon, has carried out a thought experiment in which they consider a hypothetical world where today’s atmospheric monitoring capabilities were available throughout the last century. In this scenario, they simulated the atmosphere’s chemistry through history and discovered not only when the earliest sign of ozone depletion would have been detectable, but also where, and why.
In a study appearing today in the Proceedings of the National Academy of Sciences, the scientists suggest that the first signs of ozone depletion appeared as early as 1957 — about 30 years before the ozone hole was discovered. And, this first signal of ozone loss popped up not in the Antarctic, but in the upper stratosphere of the tropics. What’s more, the cause of this early depletion was not due to CFCs, but to another industrial chemical: carbon tetrachloride.
“What we’ve learned from textbooks is that CFCs result in ozone depletion,” says the study’s first author, Jian Guan, a graduate student in MIT’s Department of Earth, Atmospheric and Planetary Sciences (EAPS). “It turns out there was another compound that caused ozone depletion much earlier than CFCs. This was a big surprise.”
For Solomon, who was an early pioneer in the study of ozone’s effects on the atmosphere, and who was the first to show that CFCs were the main agent eroding Antarctic ozone, the new results were a complete shock.
“The fact that ozone depletion would have happened as early as the late 1950s, which is much earlier than I would have thought, just absolutely blew my mind,” says Solomon, the Lee and Geraldine Martin Professor of Environmental Studies and Chemistry at MIT. “This study shows it’s really important to keep monitoring so that we can fully understand how the atmosphere responds and recovers.”
The study’s MIT co-authors include Peidong Wang, Yaowei Li, and Kane Stone; along with Benjamin Santer of the University of East Anglia; Qiang Fu of the University of Washington; Rolando Garcia, Douglas Kinnison, and Jun Zhang of the National Center for Atmospheric Research; Jean-Francois Lamarque of Climate Modeling and Analysis LLC; and Gabriel Chiodo of the Spanish National Research Council.
Chlorine connection
Ozone is a highly reactive molecule, made from three oxygen atoms, that exists naturally in the upper layers of the atmosphere. In the stratosphere, ozone acts as a shield, absorbing the sun’s rays and reducing the harmful ultraviolet radiation that can reach the Earth’s surface.
In the late 1980s, after scientists first observed signs of ozone depletion in the Antarctic, Solomon led expeditions to the region to measure the stratosphere’s composition. Those measurements confirmed that ozone’s agent of destruction was CFCs — the chemicals which were used globally in refrigeration, air conditioning, and aerosol propellants, among other uses.
Specifically, Solomon measured higher-than-expected levels of chlorine dioxide in the Antarctic stratosphere. The presence of this molecule, in the same place where ozone depletion was observed, had only one chemical explanation: Ozone was being broken apart by rogue atoms of chlorine. At the time, chlorine-heavy CFCs were in wide use, and MIT chemist Mario Molina proposed that if CFCs drifted up to the stratosphere, photons from the sun could break apart the molecules and release atoms of chlorine, which would then be free to break apart ozone’s oxygen atoms.
Molina’s work, and Solomon’s measurements, were key in showing that CFCs could deplete ozone — a discovery that earned Molina a share of the 1995 Nobel Prize in Chemistry. Soon after, nearly every country in the world signed the Montreal Protocol, which ultimately led to the successful phase-out of CFCs and other ozone-depleting substances. In recent years, as a result of that global cooperation, scientists have observed initial signs of ozone recovery.
“We know what we have now, and ozone is starting to recover,” Solomon says. “But no one has ever really documented where and when and why the first ozone depletion would have happened.”
Signal over noise
For their new study, Solomon, Guan, and their colleagues took a “what-if” approach, posing the question: What if the past had the monitoring capabilities of the present? When would we have been able to detect the earliest sign of human-induced ozone depletion?
Today’s monitoring tools are sensitive to a certain signal to noise, meaning they can identify patterns of ozone loss that are more likely a “signal” of human-induced depletion (such as from CFCs), versus ozone loss that is due to “noise,” such as random fluctuations from weather and natural phenomena.
With this in mind, the team looked to reproduce the chemistry of the atmosphere over the last century to see whether they could see a signal over the noise, based on the sensitivity of today’s monitoring tools.
The team used 16 different model runs, each of which simulates varying conditions and dynamics of the atmosphere at various latitudes and altitudes, as well as the concentrations and interactions of ozone and other molecules. Ozone is affected by not only human-caused chemicals but also natural phenomena such as volcanic eruptions and El Niño weather patterns. Each model run simulates ozone’s response to these natural phenomena, which the team combined to establish a range of “noise,” or ozone depletion that likely is due to natural variability.
They added to each model the various industrial chemicals that were known to have been produced at various times over the last century.
“Year by year, we have estimates from industry of how much of these chemicals were made and sold globally, and the emissions of all these chemicals, which the models include,” Solomon explains. “And in the case of carbon tetrachloride, the really cool thing is, we also have ice core data.”
Ice cores are drilled-out cylinders of deeply buried ice, that had formed in the Antarctic and Arctic from the falling and layering of snow over hundreds of years. Ice cores contain the remnants of snow, as well as whatever trace chemicals in the atmosphere the snow originally fell through. Scientists can therefore use ice cores to estimate the composition of the atmosphere through history.
“We actually see in the ice cores that carbon tetrachloride starts increasing already by the 1940s,” Solomon notes.
The team incorporated industrial and ice core data into their models, then looked to see whether a signal of human-induced ozone loss stood out from the noise of natural fluctuations. Their analysis revealed that a signal did appear, as early as 1957. Not only did they see when the signal appeared, but also where: in the tropics, rather than the Antarctic.
The researchers say that human-induced ozone loss was likely occurring globally, but was easier to spot in the tropical upper stratosphere, since that is the region where the range of natural fluctuations is the smallest, and therefore where a signal can stand out better.
Finally, the analysis indicated that carbon tetrachloride, and not CFCs, was the cause of the earliest ozone depletion.
“That’s the only ozone-depleting substance that was increasing that early,” Solomon says. “We started using carbon tetrachloride in the 1930s as a dry-cleaning agent, and as a degreasing solvent. We didn’t start using CFCs until quite a bit later.”
Carbon tetrachloride has since been phased out of use in most of the world, initially due to its health concerns; the chemical can cause nervous system disorders with prolonged exposure and is a suspected carcinogen. Since the Montreal Protocol began to tightly limit its use in the 1990s, the molecule’s concentrations in the atmosphere have been on a decline. Still, Solomon says the new study highlights the need for vigilance in monitoring carbon tetrachloride, CFCs, and other ozone-depleting substances that may have been phased out but can still linger for decades.
“We’ve gone through a big effort to get rid of these chemicals,” Solomon says. “Don’t we have an obligation to keep monitoring to make sure the atmosphere responds the way we think it should?”
This research was supported, in part, by the National Science Foundation, the National Oceanic and Atmospheric Administration, and the European Commission.
Graphene can hold multiple states of superconductivity, a new study findsWhat’s more, the superconducting states get stronger under conditions expected to kill them.The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale.
In a study appearing today in the journal Nature, MIT researchers report that a certain microscopic structure found in natural graphite can host multiple superconducting states. Superconductivity is an electronic state of matter in which electrons pair up and glide through a material with zero resistance.
While there are thousands of materials that are known to be superconductors, it is rare for one material to host multiple forms of superconductivity.
The researchers discovered the multiple superconducting states in atomically thin exfoliations of graphite, known as graphene. Specifically, graphene is a single-atom-thin sheet of carbon atoms arranged precisely in a microscopic lattice. The team made its discoveries in samples of rhombohedral graphene, which is a natural structure within graphite consisting of a stack of four or five graphene layers.
Interestingly, the researchers found that several of the new superconducting states in rhombohedral graphene are able to persist in the presence of a magnetic field, which normally kills superconductivity.
And in a further surprise, these superconducting states even get stronger when exposed to a magnetic field.
Overall, the findings reveal a new family of unconventional superconducting states in one seemingly simple material.
“People might assume that this is a simple, boring carbon material,” says Long Ju, the Lawrence C. and Sarah W. Biedenharn Associate Professor of Physics at MIT. “But we can control this material by tuning certain experimental ‘knobs,’ such as electrical voltages. This is how a simple physical material can exhibit so many different superconducting properties.”
It’s still unclear exactly how each of the multiple superconducting states arise, or how they are able to persist under a magnetic field, when normally superconductivity should fade.
“From a fundamental physics point of view, it’s very exotic that a magnetic field doesn’t kill superconductivity, and instead it boosts it,” Ju says. “We have provided a lot of experimental results and provided the nutrition that people can absorb to try to think about what’s going on here.”
The study’s MIT co-authors include co-first authors Junseok Seo and Shenyong Ye, together with Tonghang Han, Zhenghan Wu, Wei Xu, Jixiang Yang, Emily Aitken, Prayoga Liong, Phatthanon Pattanakanvijit, Zach Hadjri, and Mingda Li. External collaborators are co-first author Armel Cotten and members of Dominik Zumbuhl’s group at the University of Basel in Switzerland, plus others at Florida State University, the University of Florida, Gainesville, and the National Institute for Materials Science in Japan.
Natural steps
Graphene and other atomically thin, two-dimensional materials can exhibit unexpected electronic, magnetic, thermal, and physical properties. And when two or more sheets of graphene are stacked and twisted at precise orientations, the “magic-angle” structure can suddenly host weird and exotic phenomena.
Ju’s group has been probing the exceptional properties of graphene. But rather than artificially stacking and twisting layers, they have looked for interesting behavior in naturally occurring graphene structures. In recent years, they have unearthed surprising electronic properties in rhombohedral graphene. This particular configuration consists of graphene layers stacked on top of each other, each one slightly offset from the last, similar to the steps in a staircase.
Rhombohedral graphene can be found naturally in ordinary graphite. But to find it first requires exfoliating a block of graphite (usually with Scotch tape), then searching the exfoliated sample for the telltale staircase-like pattern, which researchers can then isolate for further experimentation.
Using this approach, Ju and his colleagues have been able to isolate and probe samples of four- and five-layer rhombohedral graphene. They have so far discovered that the structure can host a rare, “chiral” form of superconductivity, as well as fractional electron charge, among other behavior.
In the flow
For their new study, the team took a slightly different approach in studying rhombohedral graphene. Previously, they electrically “doped” their samples, progressively adding electrons as they passed a separate electric current into the material. They then measured the voltage, or essentially the force that pushes the current through the material, and looked for instances when the voltage dropped to zero, indicating that the current was passing through without resistance.
In this way, the team has observed superconductivity when adding electrons to rhombohedral graphene. So they wondered: What might happen if they did the opposite, and took electrons away?
In their new study, the team looked for signs of superconductivity as they carefully removed electrons from rhombohedral graphene, progressively lowering the material’s electron density, as they applied a separate, external electric current to measure the electrical resistance. In these experiments, they also applied external magnetic field along directions parallel and perpendicular to the graphene plane. These experiments were carried out in collaboration with Zumbuhl’s group in Switzerland, who provided access to a laboratory setup in which graphene samples could be exposed to high magnetic fields and ultracold temperatures.
In these experiments, the researchers found that at certain electron densities, four different superconducting states emerged. What’s more, three of the states persisted in the presence of a relatively high magnetic field.
Normally, magnets destroy superconductivity by severing the bond between the paired electrons gliding through the material.
But in Ju’s experiments, the team observed three superconducting states that survived in a magnetic field up to around 9 tesla, which is about 180,000 times stronger than the Earth’s magnetic field. In these instances, the magnetic field they applied was in a parallel orientation with respect to the plane of the material. When they switched the magnetic field to a perpendicular orientation, they discovered another surprise: At a certain electron density, superconductivity not only persisted, but increased. The material was able to continue superconducting, at higher temperatures than predicted.
Every superconducting material has a critical temperature below which electrons can conduct without resistance, and above which superconductivity cannot persist. But the team found that, at a certain electron density, and in the presence of a perpendicular magnetic field, superconductivity in rhombohedral graphene was able to survive beyond the material’s critical temperature that corresponds to zero magnetic field.
“The superconductivity actually is enhanced, as in, the transition temperature goes from 55 millikelvin to probably 90 millikelvin,” Ju explains. “At the same time, the material can take another 50 or 60 percent extra current before superconductivity gets destroyed. And that is very unusual.”
The researchers are unsure of what microscopic behavior is enabling multiple and unconventional superconducting states, though they propose one idea. Conventional superconductivity emerges when electrons pair up. These “Cooper pairs” consist of electrons with opposite spin, and it’s thought that a magnetic field can pull the spins out of their opposite configurations, and as a result, break up superconductivity.
Instead, the team proposes that perhaps in rhombohedral graphene, and at certain electron densities, electrons can pair up with aligned spins. Any magnetic field would still pull on the spins, but in the same direction, preserving their alignment, and their superconductivity.
The researchers acknowledge that the idea needs much more investigation, both experimentally and theoretically. For now, they see the results as a demonstration of what new and exotic phenomena can emerge in a seemingly simple material, with the right measurements and controls.
“We can control the simplest chemical and structural material— crystalline carbon— as part of the fun,” says lead author Junseok Seo, who is a graduate student in Ju’s group. “We’re not only dealing with what nature gives us, but we’re applying additional controls to change it to something that nature does not give us, but that can exist in the same material.”
This work was supported, in part, by the U.S. Office of Naval Research. Device fabrication was carried out, in part, at MIT.nano.
David Autor named head of the Department of EconomicsA faculty member since 1999, Autor is a leading researcher in artificial intelligence and the work of the future.David Autor, the Daniel (1972) and Gail Rubinfeld Professor in the MIT Department of Economics, has been named head of the Department of Economics, effective July 1.
“David is a world-class labor economist,” says Agustín Rayo, the Kenan Sahin Dean of the School of Humanities, Arts, and Social Sciences. “He is also an individual of wisdom and insight. I look forward to welcoming him to the school’s leadership team.”
Autor’s scholarship explores the labor-market impacts of technological change and globalization on job polarization, skill demands, earnings levels and inequality, and electoral outcomes. He serves as faculty co-director of the James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work.
“I’ve been at MIT since 1999, and I owe my career to the Institute, the department, and colleagues who are as kind as they are accomplished,” Autor says. “Stepping into this role is a chance to contribute to a place that has shaped me at every stage.”
Autor succeeds Jon Gruber, the Ford Professor of Economics, who has served as department head since July 2023.
Autor says he “aims to build on the stellar standard set by its faculty and students while navigating budget tightening and a shifting political landscape.”
“Just as important, I want to lead the department toward the opportunities that advancing AI is opening in how we teach and what we research,” he adds.
Autor serves as co-director of the National Bureau of Economic Research (NBER) Labor Studies Program. He earned a BA in psychology from Tufts University in 1989 and a PhD in public policy from Harvard University’s Kennedy School of Government in 1999.
Autor has received numerous awards for both his scholarship — the National Science Foundation CAREER Award, an Alfred P. Sloan Foundation Fellowship, the Sherwin Rosen Prize for outstanding contributions to the field of Labor Economics, the Andrew Carnegie Fellowship in 2019, the Society for Progress Medal in 2021 — and for his teaching, including the MIT MacVicar Faculty Fellowship, the James A. and Ruth Levitan Award for excellence in teaching, the Undergraduate Economic Association Teaching Award, and the Faculty Appreciation Award from the MIT Technology and Policy Program.
In 2020, Autor received the Heinz 25th Special Recognition Award from the Heinz Family Foundation for his work “transforming our understanding of how globalization and technological change are impacting jobs and earning prospects for American workers.”
In 2023, Autor was one of two researchers across all scientific fields who was named a NOMIS Distinguished Scientist.
In 2024, Autor was one of five senior scholars selected by the Schmidt Sciences Foundation as an AI2050 Senior Fellow.
How data centers can better manage energy use A new study suggests flexibility in the timing of electricity consumption could lower consumer costs.The number of U.S. data centers is growing, largely to power artificial intelligence programs. That has led to concern about the environmental consequences of data centers — and their impact on the energy grid itself. What will happen if scores of new data centers come online?
A new study by MIT researchers indicates that the impact of data centers could vary significantly, depending on how their energy use is structured.
Specifically, if data centers move a significant portion of their energy consumption to non-peak hours, it might actually help lower average energy costs. The environmental impact, in terms of type of energy consumed, would differ by location, with some places likely seeing a greater buildout of renewables and others experiencing a relative increase in fossil fuel use.
“The key with data centers is: How can we add them to the network without adding a lot to our peak usage?” says Christopher Knittel, an economist in the MIT Sloan School of Management and co-author of a new paper detailing the study. “One way for data centers to do that — to add to average usage but not the peak usage — is if they provide some grid flexibility during those high-cost periods. And that’s what we’ve been interested in understanding.”
Specifically, the paper finds that a flexible arrangement for data-center energy consumption, compared to an inflexible one, would produce cost savings of up to 5 percent in Texas, 4 percent in the Mid-Atlantic region, and 2 percent in the western U.S. states. To achieve that, data centers would have to move more than 20 percent of their consumption — sometimes more like 50 percent — to non-peak hours.
The paper is titled “Flexible Data Centers Reduce Power System Costs But Can Increase Emissions,” and appears today in the journal iScience. The authors are Juan Ramon L. Senga, a postdoc in MIT’s Center for Energy and Environmental Policy Research; Shen Wang, a postdoc in MIT’s Center for Energy and Environmental Policy Research; and Knittel, who is the George P. Schultz Professor at MIT Sloan and the associate dean for climate and sustainability at MIT.
The 20 percent solution
The expansion of data centers has raised questions about additional stress for the U.S. grid, the global effects of increased fossil-fuel consumption, and the local environmental effects of data centers. The current study examines the first two of these issues.
To conduct the research, the scholars extensively simulated scenarios in which data centers expand, using the so-called “Gen X” model of the U.S. power grid, for a year’s worth of energy use.
The study focused on the grid systems in three areas: Texas, the Mid-Atlantic region, and the “Western Interconnect,” comprising the 11 large western states in the lower 48 states of the U.S. The researchers studied these regions because they collectively host most of the country’s data centers — about 82 percent of U.S. data centers by 2030, according to one analysis.
A bit counterintuitively, the researchers found that adding data centers could lower energy costs in some scenarios. Typically, about 60 percent of grid expenses are fixed costs, like power lines, while about 40 percent consists of energy costs. Adding data centers to the grid could, in effect, apportion the fixed costs over a higher volume of energy use.
“It’s really just math,” Knittel says.
But there is a catch. Lower costs might only happen if data centers increase their average consumption faster than their peak-hours consumption, when energy is most expensive. As it happens, most data centers do have flexibility built into their energy-use patterns, since they usually run at about 80 percent capacity.
In the study’s modeling, that flexibility often consists of shifting use from early-morning and early-evening peaks, to more midday energy consumption, when the energy load is lower and solar is at full capacity. The simulations show this makes a difference.
“There are two dimensions that data centers have to make decisions about,” Knittel says. “One is how much of their load in any one time period is flexible. And two, how many hours, plus or minus, can they move that computation?”
Pretty soon, real money
Additionally, data centers have different amounts of flexibility based on the types of AI-related computation they host. Data centers being used for AI training data tend to consume energy at a steady rate, but as a result could provide more flexibility for shifting power loads compared to inference data centers, which are used more for online search queries. In the latter case, consumption is driven more by end-user Internet habits.
Overall, Knittel emphasizes, the magnitude of cost savings suggested by the study, ranging from 2 percent to 7 percent, is significant.
“Three percent is a big number,” Knittel says. “When you’re talking about the grid, 3 percent or 6 percent doesn’t sound like a lot. But when you’re multiplying it by 100 billion dollars, it becomes real money.”
When it comes to environmental impact, the modeling finds that the projected level of data center growth by 2030 would be very significant in terms of carbon dioxide emissions. Compared to a world with no data center growth, the study finds those emissions would rise by 58 percent in Texas, 20 percent in the Mid-Atlantic region, and by 24 percent in the western U.S. That underscores the need to be strategic about data center consumption.
But the modeling also finds that the implications of data center buildout for clean-energy use vary by region. In Texas, where 54 percent of grid power is wind energy, having more data centers with flexible patterns of energy use could reduce emissions, by increasing demand for wind energy. The study finds that in this scenario, there could be 40 percent fewer CO2 emissions.
However, in the Mid-Atlantic region, where there is a reasonable amount of solar energy but relatively less wind power, more data centers with flexible consumption patterns could increase both renewable energy and fossil-fuel energy consumption. Here the modeling suggests an increase in CO2 emissions system-wide of 3 percent.
“When data centers provide some flexibility in that latter scenario, the data centers actually move hours to when sun and wind energy production is slowing, and that allows a coal plant to stay on,” Knittel observes. “So it doesn’t necessarily attract more renewable investment. It attracts more coal investment.”
“That’s why we have policy”
For any of this to happen, however, the data centers would have to implement the flexible energy-use schedules modeled in the study. And it’s not clear that companies using data centers would be motivated to do that. To Knittel, this suggests officials might have to craft regulations in this area.
“That’s why we have policy,” Knittel says.
More specifically, he adds, there is one big policy lever officials could use to achieve this goal: offering quicker initial hookups to the grid in return for time-of-use flexibility.
“One big concern about these data centers now is how long it takes for them to connect to the grid,” Knittel says. “One way to provide flexibility now is what’s called ‘connect and manage,’ which is, connecting you faster to the grid if you agree to provide flexibility. Tech firms would take that deal. They would rather connect a year earlier, and throttle down computation a few hours a day, than to have to wait. We do this with power plants too.”
Certainly, Knittel adds, as firms competing with each other, “Tech companies say they won’t provide flexibility alone. But if everyone in the industry has to, it’s okay.”
The current study is the first to examine the “end-to-end” implications of the centers for costs and emissions. The results, the scholars feel, bear further evaluation — and it is a topic they are continuing to model.
“Those are two dimensions I think we should all be considering here,” Knittel says. “The end result is really up to us, and up to policy.”
The research received support from the Future Energy Systems Center of the MIT Energy Initiative.
Listening for the echoes of black holesBy analyzing X-ray reverberations and other astrophysical data, Erin Kara seeks to understand the most extreme objects in the universe.Black holes are often misunderstood to be just that: dark and mysterious voids that are somehow akin to Alice in Wonderland’s mind-bending rabbit hole.
But rather than a tunnel of nothing, a black hole is actually something — and a lot of it. The densest objects in the universe, black holes exert tremendous gravitational pull, gathering in the surrounding fabric of space and time, and generating huge disks of matter that whirl toward a black hole before falling in, past the point of no return.
In recent years, as astronomers have been able to train more telescopes on the sky, for longer stretches of time, they have captured a surprising range of black hole behavior.
“It used to be that we didn’t have eyes on systems all the time,” says Erin Kara, an associate professor of physics at MIT. “Now we’re seeing that they can turn on and off at rates that are much faster than we ever thought possible. We see things are getting sucked in toward black holes faster than we thought, perhaps due to stars whipping around and getting trapped in a black hole’s accretion disk.”
Kara and her group in MIT’s Kavli Institute for Astrophysics and Space Research are at the forefront of black hole physics. She is using data from telescopes in space and on the ground to study the properties of black holes, especially supermassive black holes — the ultradense giants at the centers of galaxies. Supermassive black holes are the engines of galaxy formation. Kara, who recently earned tenure at MIT, seeks to connect the extreme physics of black holes with how galaxies such as our own Milky Way come to be.
“It’s amazing that we as humans can know anything about what’s happening billions of light years away,” Kara says. “There’s a lot of new open puzzles about supermassive black holes that I’m excited about.”
Early impact
Kara was born and raised in Bethlehem, Pennsylvania, as the youngest of four. Her mother was a nurse, and her father a doctor, so it felt only natural for Kara to follow their lead. She set out on a premed track at Barnard College of Columbia University. As part of the program that first year, she took an introductory physics class and was instantly drawn to the subject’s concrete, fundamental descriptions of the physical world, from the quantum to cosmic scales.
“Physics was always the class that explained things at the ground level,” Kara recalls. “And I thought, wow, this is cool. I have to keep going with this.”
In class, she kept asking questions and wanting to know more. Her professor, astronomer Reshmi Mukherjee, took note and invited Kara to join her research group as a summer intern. The team would be working on new data from a telescope that was readying for launch. That summer, in June 2008, NASA launched the Fermi Gamma-Ray Space Telescope into low-Earth orbit, with the purpose of surveying the sky for sources of gamma rays — high-energy radiation that is produced by black holes, neutron stars, and other extreme astrophysical objects.
When the telescope started sending back data, Mukherjee assigned Kara a project: to characterize two of the telescope’s unidentified gamma-ray signals. Both signals were bright, and the question was whether they came from nearby, within the Milky Way galaxy, or much further away. If the latter was the case, it would mean the sources were possibly quasars — a type of extremely active supermassive black hole that at the time was a rarity in astronomy observations.
Kara got to work on the data and soon confirmed that both sources were indeed quasars.
“It was a small discovery, but it felt awesome,” Kara says. “And I love that about astronomy, that there are so many unanswered questions, and even early on in your career, you can make an impact.”
Needless to say, Kara caught the astronomy bug, and soon opted to switch from premed to physics, though the new path was not always smooth. On Barnard’s all-women’s campus, introductory classes in physics were small, and professors were encouraging and approachable. In contrast, upper-level courses were held at Columbia, where Kara was one of a much larger, co-ed cohort.
“It’s a very unique experience to be with all women in a physics environment, and then to see how my feelings about my own abilities changed, just based on the environment,” Kara reflects. “I went to Columbia and all of a sudden felt like I couldn’t do this. All these guys were much more confident and outwardly understanding of the material. In the end, I did well there too. And that juxtaposition helped me gain confidence and know, yeah, I belong here.”
Black hole reverb
After graduating with a major in physics and a minor in art history, Kara went abroad, to the Institute of Astronomy at Cambridge University. She earned a scholarship there to pursue a one-year master’s degree in physics, but she ended up staying to complete a PhD on a topic that was just starting to grow roots: black hole X-ray reverberation.
In 2009, her thesis advisor, Andy Fabian, and his team were looking through archival data from an X-ray telescope and noticed curious time delays in signals coming from around a black hole. They interpreted the signals as X-ray echoes, or reverberations. It was the first evidence of X-ray echoes around a black hole, and it helped to resolve a debate in the field over the source of the radiation.
Her advisor determined that the reverb was a result of X-rays generated from the black hole’s corona — a crown-shaped aura of high-energy radiation immediately surrounding the black hole — that then bounced, or reverberated, off the swirling disk of gas and dust that circles a black hole, known as an accretion disk.
“They had only found these echoes in one black hole. But the archive was full of data of these reverberation signals that no one had analyzed in this particular way,” Kara explains. “So I had my whole PhD to kind of play with this archive, and it felt very discovery-driven.”
Since that initial exploration, Kara has worked to advance the study of X-ray reverberation as a technique to map regions around black holes and other extreme astrophysical objects.
A pivotal disruption
After earning a PhD in physics, Kara returned to the U.S. for postdoctoral work at the University of Maryland and NASA’s Goddard Space Flight Center. She intended to work on data from a new satellite, Hitomi — a Japanese mission that would detect far-off X-rays to help scientists map the large-scale structure and evolution of the universe. After 40 days, the scientists lost control of the satellite, which ultimately began spinning uncontrollably and broke apart in orbit. Before it failed, the telescope sent back one clean signal.
“It got one really good observation, which was unlike any spectrum we had ever seen before,” Kara recalls.
The data confirmed that the satellite’s detector — a microcalorimeter that was developed at NASA — was sound. That technology is now at the heart of Hitomi’s successor, the X-ray Imaging and Spectroscopy Mission, or XRISM, which has been successfully taking data since its launch in 2023. Today, Kara leads a science group as part of the XRISM mission to analyze X-ray signals from supermassive black holes.
Back then, however, with the end of Hitomi, she had to pivot. She started working with a new group at NASA Goddard that was gearing up for the launch of another telescope — the Neutron Star Interior Composition Explorer, or NICER. In 2017, the telescope, which was developed and built by MIT researchers, was launched and attached to the International Space Station, where it measured the timing of incoming X-rays from astrophysical sources in deep space.
The group Kara joined was analyzing NICER data for signs of tidal disruption events, which are instances when a black hole tears apart a nearby star. This was some of her earliest work on these dynamic sources, and she has since incorporated tidal disruption events — and data from NICER — as a main research area.
At the hub
In 2019, Kara accepted a junior faculty position in MIT’s Department of Physics — a decision that to her was a “no-brainer.”
“X-ray astronomy has its history at MIT,” Kara says. “Bruno Rossi, Hale Bradt, George Clark, Claude Canizares — it all started here. It was always a place that felt like a hub. And that was the draw.”
Today, she and her students regularly analyze data from various satellites and telescopes such as XRISM and NICER to better understand black holes and how they grow, evolve, and affect the galaxies around them. She continues to advance X-ray reverberation mapping, which has helped scientists map the extreme regions immediately surrounding a black hole. Her group is also studying signals from other extreme X-ray sources, including tidal disruption events, quasiperiodic eruptions, and galactic black hole outbursts.
Kara also plans to explore data from future observatories, including the Ultraviolet Transiet Astronomy Satellite (ULTRASAT), which will continuously scan the entire sky for hot, ultraviolet sources; and the Laser Interferometer Space Antenna (LISA), a space telescope that will detect low-frequency gravitational waves from sources such as pairs of lopsided, David-and-Goliath black holes.
And she’s also found time for a bit of black hole fun: In 2022, Kara collaborated with educators and music anthropologists at MIT to convert a black hole’s X-ray echoes to audible sound. As a musician herself — she sings and plays the violin — she was curious how a black hole’s cosmic energy might “sound.” The effect was otherworldly, to say the least.
“One of the reasons that I love black holes is that they are very extreme, and feel very sci-fi crazy, and things don’t make sense, and physics breaks down around them. And at the same time, they’re super foundational to even why we’re here,” Kara says. “For reasons we don’t fully understand, the distribution of stars and gas and dust in a galaxy is dictated in part by the supermassive black hole at its center. Our sun is one of those stars. It’s all intertwined. And untangling some of that is what motivates me.”
MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.Over the past 80 years, America’s bold, sustained investment in scientific research, and the discoveries, ideas and innovations that flowed from it made America a world leader. The nation’s scientific leadership has been essential to our shared prosperity and national security, and delivered real benefits for all Americans.
On June 16, Scientific American released a special section, “The Young American Scientists,” which celebrates early-career professionals actively engaged in scientific research, and features commentary from MIT faculty on why they continue to be so devoted to curiosity-driven science, demonstrating how their hard work and dedication make Americans safer, healthier, and more prosperous. Among the section’s profiles are many MIT faculty, students, and alumni, who share their advice for young scientists and their reasons for optimism in uncertain times.
President Sally Kornbluth emphasizes the importance of curiosity-driven research, noting that discovery “is part of our American DNA and has yielded vast returns to the citizens of this country and the world.” She adds, “what’s needed is a rededication to public investment in American science. Even if I were not the leader of a premier scientific institution, this is what I’d say. Investing in American science is not a gamble; if you look back in time, there is no question about the benefits.”
Adds Institute Prof. Robert Langer: “What American science has done over the past 50, 100 years has been remarkable.”
Scientific American notes that at MIT, that commitment to discovery is reflected in initiatives such as Curiosity on a Mission and the Generative AI Impact Consortium, which are aimed at finding “solutions to real-world problems in a way that is beneficial to society.” “On one hand, we’re at a time, technologically, where things could not be more exciting [and] our science [could not be] more cutting-edge. At the same time, we’ve never seen a situation where people felt so uncertain about the continuity of science funding, particularly when it comes to the basic discovery science that fuels the economy and will fuel societal impact a decade or two from now,” says Kornbluth.
The first sparks
Witnessing invention can spark a lifelong fascination with science. After the launch of Sputnik, the world’s first artificial satellite, Prof. Alan Lightman “became entranced with the idea of building a rocket” of his own. In his essay “My childhood in science,” Lightman describes how these early scientific memories and experiments have shaped him to be a well-rounded writer and physicist.
“Now more than ever, when much of the world, including the U.S., has lost its moral compass, leading to a dog-eat-dog mentality, we need science combined with literature, philosophy, history and art. We need to discover not only the physical world but also our own humanity,” writes Lightman.
Likewise, Prof. John Urschel, a former NFL player, emphasizes the importance of collaboration and having a wide range of interests.
“A lot of good research happens when people can draw on tools, techniques and insights from different areas, disciplines and even fields. I hope we can encourage promising young scientists to establish strong, broad backgrounds and to communicate frequently with those outside their particular areas,” says Urschel.
Invention and discovery
Scientific American highlights students and alumni looking to better the world by doing everything from investigating neurological disease to securing our energy future.
At MIT, Visiting Scientist Alice Stanton developed miBrain, a 3D tissue model of the human brain, to help scientists develop personalized treatments for Alzheimer’s and Parkinson’s. Stanton has developed a miniature version of miBrain, a brain-on-a-chip, to better test therapeutics.
Stanton notes “the road to effective treatments is long and bumpy,” compounded by cuts to federal funding. “When we have a loved one who gets sick, we want a treatment—we want something to cure them. It doesn’t come out of thin air,” she explains.
Bob Mumgaard PhD ‘08, CEO of Commonwealth Fusion Systems is working to commercialize fusion power. “Whether in areas such as fusion—or in drugs by design for diseases such as Alzheimer’s and Parkinson’s or in [the creation of] materials we never thought possible—our ability to use new tools to tackle some of these big, meaty problems is super exciting,” Mumgaard emphasizes.
Graduate student Alex Zhang tackles context rot: the phenomenon when AI language models degrade as they produce more information. To solve this issue, Zhang develops recursive language models (RLMs) that enable the model to work with itself to reevaluate reasoning.
“The types of research that I want to work on are things that I think should be shared for the benefit of people in general,” says Zhang.
The benefits of scientific collaboration
What happens when scientific disciplines join forces at MIT?
Prof. Emery Brown highlighted the MIT Health and Life Sciences Collaborative (HEALS), noting that the effort brings together scientists and engineers from a variety of backgrounds to tackle the most pressing health challenges of our times.
Brown explains that with President Kornbluth’s support, HEALS encourages “faculty to look more deeply into solving health care problems. The enthusiasm for HEALS has been contagious across the campus.”
MIT alumna Lucy Jones PhD ‘81, who is known for her work advancing public safety during earthquakes and for developing the first American earthquake drill called the Great ShakeOut, shared the necessity of collaboration in developing scientific solutions for pressing real-world problems.
“Solutions have to be done in collaboration, which means spending time with policymakers,” says Jones.
Jones also shares how scientific advances in computing have helped make Americans around the country safer when the ground starts to shake.
“My first year in grad school, I was reading paper seismograms. Now everything is computerized. We used to do field deployments; now we have permanent networks. We’re starting to use fiber‑optic cables as seismometers,” says Jones. “Computers have changed everything, including science.”
The state of American science
Within the profiles, interviewees were asked what needs to change in American science right now. Many expressed concerns with federal funding.
“I’m fortunate to work with extraordinary students and postdocs, but the infrastructure that lets them do their best work is under real stress: funding instability at the National Institutes of Health and the National Science Foundation, immigration uncertainty for international scientists and an erosion of public trust in expertise,” says Prof. Feng Zhang.
Zhang developed CRISPR-based genome editing tools, which could increase our understanding human diseases and lead to new treatments. “We can lose the lead rapidly if we do not protect our innovation ecosystem,” he says.
Positive developments include the progress Prof. Alan Guth has witnessed in cosmology.
“With new techniques, we’re able to unravel, to make sense out of, what we’re observing,” says Guth. “A lot of progress has been made on those lines, so in terms of the physics of the field, I think things are going great. But to me, the real problem is the prospects for future funding.”
Langer shares his faith in the durability and strength of America’s science and innovation ecosystem.
“I look at the history of American innovation and education over the past 250 years, and it’s been spectacular,” says Langer. “Plenty of times there’ve been setbacks. We’ve had world wars, you know, we’ve had depressions, and people keep persisting and keep learning. They keep discovering and they keep inventing. So that gives me a lot of cause for hope. This is not the worst time by any means.”
Summer 2026 recommended reading from MITEnjoy these recent titles from Institute faculty and staff.Summer is the perfect time to curl up with a good book — and MIT authors have had much to offer in the past year. The following titles represent a selection of books published in the past 12 months by MIT faculty and staff. In addition to links for each book from its publisher, the MIT Libraries has compiled a helpful list of the titles held in its collections.
Looking for more literary works from the MIT community? Enjoy our book lists from 2025, 2024, 2023, 2022, and 2021.
Happy reading!
Fiction and poetry
“We (the People of the United States)” (Penguin Books, 2026)
By Joshua Bennett, the Distinguished Chair of the Humanities at MIT and professor of literature
Bennett marks the 250th anniversary of the founding of the U.S. with a book-length work of poetry about the country and some of its distinctive figures. The piece features remarkable people or inventions from each of the 50 states, meditating on their place in the nation’s cultural fabric.
“The Race for Daphne” (Finishing Line Press, 2026)
By Sarah C. Beckmann, communications and marketing associate in the MIT Media Lab
A poetry collection structured as a crew race exploring girlhood, womanhood, and motherhood through the experiences of a rower and writer. These poems subvert the historical dominance of male heroes by celebrating ordinary female heroism, while examining love, home, and what it means to be an American woman today.
“Jezelle: Thief of Forks” (Self-published, 2026)
By Scott Austin Tirrell, director of administration and finance in the Art, Technology, and Culture Program
Abandoned by her father and raised by the streets of Grafton Notch, Jezelle survives by trusting no one. When a strange magic awakens within her, it offers more than escape — it offers power. But in a city that preys on broken children, power makes her valuable, dangerous, and hunted. To claim the life stolen from her, Jezelle must decide what she is willing to become.
Science and Engineering
“Phenomenal Moments: Revealing the Hidden Science Around Us” (Candlewick Press, 2025)
By Felice Frankel, research scientist in the Department of Chemical Engineering
Enlisting readers to “be the scientist” through vivid fine-art photographs, science photographer Felice Frankel zooms in and out on beautiful and brilliant moments all around us to reveal the chemical, natural, or physical processes — from viscosity and venation to chlorophyll and capillary action — behind scientific phenomena.
“Syntax: A Cognitive Approach” (MIT Press, 2025)
By Edward A. F. Gibson, professor of brain and cognitive sciences
This book lays out the grammar of a language from the perspective of a cognitive scientist, outlining the components of language structure and the model of syntax that Gibson advocates: dependency grammar, in which a word is connected to another word via a dependency arc to form a larger compositional meaning. This formalism can explain numerous aspects of word order universals across languages.
“Birds Up Close: An Engineer Explores Their Hidden Wonders” (MIT Press, 2026)
By Lorna J. Gibson, professor post-tenure in the Department of Materials Science and Engineering
A renowned engineer and lifelong birder, Gibson explores the hidden microscopic structures and engineering principles that keep birds aloft and alive — how an egg forms, how a bird generates lift, how woodpeckers safely drill their holes, and much more. She also considers the longer view of birds in their habitats and natural history. Her up-close look at avian mysteries provides a perspective like no other, for the expert ornithologist and curious observer alike.
“Carbon Removal” (MIT Press, 2025)
By Howard J. Herzog, senior research engineer at the MIT Energy Initiative, and Niall Mac Dowell
In “Carbon Removal,” Herzog and MacDowell discuss how technology and policy can come together to help us reach “net-zero” climate targets. The authors explore the rapidly evolving world of carbon dioxide removal (CDR), presenting the technological pathways of enhancing the land sink, biomass-based carbon capture and storage, engineered removal methods, and ocean-based carbon removal. They also discuss barriers facing CDR as well as ethical implications of this process.
“Climate Change, Drinking Water Security, and Public Health: Global Challenges and Solutions” (Springer Nature, 2026)
Chapters by Libby Hsu, associate director of academics at MIT D-Lab
In her chapter, “Drinking Water Status Around the World and Its Effect on Health,” Hsu discusses the Earth’s water resources, which are found in a variety of settings. In her chapter, “Waterless and Low-Water Sanitation Technologies that Improve Quality of Life and Conserve Water Resources,” she shares her experience with sanitation challenges in the Global South and how that has reinforced the value of waterless and low-water sanitation technologies that are suitable for scaling around the world.
“A Pox on Fools: The True Believers, Grifters, and Cynics Who Convinced Us to Reject Vaccines” (Penguin Random House, 2026)
By Thomas Levenson, professor of science writing in MIT Comparative Media Studies/Writing
In his latest book, Levenson searches for the origins of the most common arguments against vaccines: that they are unnatural; that they are more dangerous than the illnesses they claim to prevent; and that they are an affront to freedom. “A Pox on Fools” explores the human impulse to question and wonder — sometimes past the point at which the very act of questioning turns deadly.
“The Shape of Wonder: How Scientists Think, Work, and Live” (Penguin Random House, 2025)
By Alan Lightman, professor of the practice of the humanities in MIT Comparative Media Studies/Writing, and Martin Rees
Lightman and Rees pull back the curtain on the field of science, revealing that scientists are driven by the same sense of curiosity, wonder, and responsibility toward a future that shapes us all. They guide us through the fascinating lives and minds of scientists around the world and throughout time, and provide an inside peek at what makes scientists tick — their daily lives, passions, and concerns about the societies they live in.
“Uncertainty in Climate Change Research: An Integrated Approach” (Springer Nature, 2025)
Chapter by Jennifer Morris, principal research scientist at the MIT Center for Sustainability Science and Strategy and the MIT Energy Initiative, and John Reilly, senior lecturer in the MIT Sloan School of Management
Understanding future emissions scenarios is essential for preparing for climate change. The chapter “Emissions and Concentration Scenarios” examines how socioeconomic uncertainty contributes to overall climate change projections, and identifies key drivers of greenhouse gas emissions. It reviews the history of emissions scenarios and compares various approaches, including IPCC methods and formal uncertainty analysis techniques. The chapter concludes with lessons learned from over 40 years of socioeconomic scenario development for climate research.
“The Headache: The Science of a Most Confounding Affliction — and a Search for Relief” (Harper Collins, 2025)
By Tom Zeller Jr., managing editor of Undark, published by the Knight Science Journalism Program at MIT
From blinding migraines to severe headache disorders known as “clusters,” chronic head pain affects 40 percent of the population, many of them suffering in silence. Finally, “The Headache” reveals the science behind a group of disorders that is as much a curse as a cultural punchline, and leads to key insights into the nature of pain itself. Guided by his own decades-long struggle with cluster headaches, Zeller’s journey into headache science is at once intimate and panoramic.
Culture, humanities, and social sciences
“The People Can Fly: American Promise, Black Prodigies, and the Greatest Miracle of All Time” (Little, Brown, and Company, 2026)
By Joshua Bennett, the Distinguished Chair of the Humanities at MIT and professor of literature
In this work, Bennett offers a series of profiles, carefully wrought to see how some prominent figures were able to flourish from childhood forward. He closely reads their works for indications about how they understood the shape of their own lives. In so doing, Bennett underscores the significance of the social settings that prodigious talents grow up in. He also offers reflections on his own career trajectory and encounters with these artists, driving home their influence and meaning.
“Thinking Historically: A Guide to Statecraft and Strategy” (Yale University Press, 2025)
By Francis J. Gavin, research affiliate of the MIT Security Studies Program
It seems obvious that we should use history to improve policy. If we have a good understanding of the past, it should enable better decisions in the present, especially in the highly consequential worlds of statecraft and strategy. But how do we gain that knowledge? How should history be used? In this book, Gavin explains the many ways historical knowledge can help us understand and navigate the complex, often confusing world around us.
“The Economic Consequences of the Second Trump Administration: A Preliminary Assessment” (Centre for Economic Policy Research, 2025)
Edited by Gary Gensler, professor of the practice of global economics and management and finance in the MIT Sloan School of Management; Simon Johnson, the Ronald A. Kurtz (1954) Professor of Entrepreneurship and professor of global economics and management at MIT Sloan; Ugo Panizza; and Beatrice Weder di Mauro
How might the economic and geopolitical positions of the Trump administration affect growth, trade, investment, inflation, stability, and the role of the U.S. dollar? This volume offers evidence-based, expert analysis to help decision makers understand the impact of tariffs, breaks in global alliances, government downsizing, deregulation, threats to the rule of law, and more.
“The Colony and the Company: Haiti after the Mississippi Bubble” (Princeton University Press, 2025)
By Malick W. Ghachem, professor of history
Many things account for Haiti’s modern troubles. A good perspective on them comes from going back in time to 1715 or so — and grappling with a far-flung narrative involving the French monarchy, a financial speculator named John Law, and a stock-market crash called the “Mississippi Bubble.” In "The Colony and the Company," Ghachem examines the economic transformations and multi-sided power struggles of that time.
“Retrench, Defend, Compete: Securing America’s Future Against a Rising China” (Cornell University Press, 2025)
By Charles L. Glaser, senior fellow in the MIT Security Studies Program
Many believe China’s ascent will drive it to war with the United States. Yet this is far from inevitable; geography and nuclear weapons should ensure U.S. security. The real danger, Glaser contends, lies in East Asia’s territorial disputes, especially over Taiwan. To reduce the risk of war, Glaser makes a bold case for ending U.S. security commitments to Taiwan and carefully calibrating its policies on protecting South China Sea maritime features.
“Trade in War: Economic Cooperation Across Enemy Lines” (Cornell University Press, 2025)
By Mariya Grinberg, associate professor of political science and MIT Security Studies Program affiliate
“Trade in War” is an urgent, insightful study of a puzzling wartime phenomenon: states doing business with their enemies. To explain why states trade with their enemies, Grinberg examines the wartime commercial policies of major powers during the Crimean War, the two World Wars, and several post-1989 wars.
“Constructing Economic Nationalisms in Brazil and India” (Cambridge University Press, 2026)
By Jason Jackson, associate professor in political economy and urban planning in the Department of Urban Studies and Planning
Conventional approaches cite India’s leftist “socialism” and Brazil’s right-wing authoritarianism to explain why India resisted foreign direct investment (FDI) while Brazil welcomed foreign firms. However, this ignores puzzling industry-level variation: India restricted FDI in auto manufacturing but allowed multinationals in oil, while Brazil welcomed foreign auto companies but prohibited FDI in oil. This book argues that FDI policies were shaped by contrasting colonial experiences that generated distinct economic nationalisms and patterns of industrialization in both countries.
“Traders, Speculators, and Captains of Industry: How Capitalist Legitimacy Shaped Foreign Investment Policy in India” (Harvard University Press, 2025)
By Jason Jackson, associate professor in political economy and urban planning in the Department of Urban Studies and Planning
Is foreign capital an agent of economic growth in developing countries or a vehicle of extraction? Examining how Indian elites wrestled with this question in the late colonial and postcolonial periods, Jackson argues that it reflects a false binary. Instead of simply choosing between domestic and foreign capital, Indian policymakers have long considered the business ethics of individual firms. Indian economic nationalism, in other words, has never been characterized by a straightforward preference for domestic over foreign capital.
“The Handbook of Social Protection: Evidence and New Directions for Low- and Middle-Income Countries” (MIT Press, 2026)
Edited by Benjamin A. Olken, the TEPCO Professor of Economics in the Department of Economics, and Rema Hanna
Over the past several decades, social protection programs that provide financial assistance to the poor and insure against shocks for the vulnerable have become widespread in low- and middle-income countries. These programs can play a critical role in society. This book provides an overview of what we know about the differing aspects of social protection and highlights the open questions for research for the future.
“Argumentation: The Key Concepts” (Routledge, 2026)
By Edward Schiappa, the John E. Burchard Professor of Humanities in MIT Comparative Media Studies/Writing
In this book, Schiappa delves into the identification and analysis of fallacies, the evaluation of evidence, and the crucial roles of context, audience adaptation, and argumentative style. It explores the ethical dimensions of argument, the impact of cognitive bias, and the influence of cultural and discourse communities.
“American Independence in verse” (Pentameter Press, 2025)
By Brad Skow, the Laurence S. Rockefeller Professor in the Department of Linguistics and Philosophy
“American Independence in verse,” published by Pentameter Press, traces a story of America’s origins through a collection of vignettes featuring some well-known characters, like politician and orator Patrick Henry, alongside some lesser-known but no less important ones, like royalist and former chief justice of North Carolina Martin Howard. Each is rendered in blank verse, a nursery-style rhyme, or free verse.
“Rwanda’s Genocide Heritage: Between Justice and Sovereignty” (Duke University Press, 2025)
By Delia Wendel, associate professor of urban studies and international development in the Department of Urban Studies and Planning
Drawing from oral histories and a visual archive of memory work after the 1994 genocide in Rwanda, Wendel explores the human rights and government priorities that preserved killing sites and victims’ remains for public display. Rwanda’s genocide memorials exemplify a global phenomenon that Wendel terms “trauma heritage,” wherein hidden or unrecognized violence is made visible in public space to demand justice and recognition. Wendel argues that trauma heritage innovates on the form histories take by “writing” them into landscapes, constituting a reparative historiography from the Global South.
Technology and society
“Computing in the Age of Decolonization: India’s Lost Technological Revolution” (Princeton University Press, 2026)
By Dwaipayan Banerjee, associate professor of science, technology, and society
In this book, Banerjee examines India’s pursuit of technological self-sufficiency, and the global forces that prevailed against this vision. He describes why the nation is “the world’s leading provider of inexpensive outsourcing and offshoring services, yet enjoys minimal benefits from more profitable advances in research, manufacturing, and development.”
“Auditing AI” (MIT Press, 2026)
By Karrie G. Karahalios, professor of media arts and sciences at the MIT Media Lab; Marc Aidinoff PhD ’22; Nathan Matias SM ’13, PhD ’17; Christian Sandvig; Alondra Nelson; Kristen Vaccaro; Esha Bhandari; Ellery Roberts Biddle; Lena Armstrong; Motahhare Eslami; and Danaé Metaxa
This book serves as a first-of-its-kind roadmap for auditing artificial intelligence systems to prevent decision-making failures in health care, policing, and employment. Using canonical examples of AI gone wrong — from misidentified facial recognition to biased hiring algorithms — this book explains why robust audits are essential and how they drive concrete policy and corporate change.
“Shape Computation: Fifty Years, 1972-2022” (Springer Nature, 2025)
Edited by Sotirios Kotsopoulos SM ’00, PhD ’05, a research affiliate in the Department of Architecture, with a chapter by Terry W. Knight, the William and Emma Rogers Professor of Design and Computation in the Department of Architecture
This book provides a panorama of “shape computation” and “shape grammars,” a computational theory that has, from its inception 50 years ago, been directed toward the “how” of design. Knight’s chapter, “How is that? Computing the Temporality of Drawing,” describes how process and time are key to studying, appreciating, designing, and making things. She notes that in creative production it is not only important to ask, “What is that?” but also “How is that?” — in other words, how did or how can a thing come to be? As a process carried out over time, computation offers a means for rethinking, representing, and elevating the “how” in designing and making activities.
“The Remote Revolution: Drones and Modern Statecraft” (Cornell University Press, 2025)
By Erik Lin-Greenberg, associate professor in the Department of Political Science
In “The Remote Revolution,” Erik Lin-Greenberg shows that drones are rewriting the rules of international security — but not in ways one would expect. Leveraging diverse types of evidence from original wargames, survey experiments, and cases of U.S. and Israeli drone operations, Lin-Greenberg explores how drone operations lower risks of escalation.
“The Comedy of Computation: Or, How I Learned to Stop Worrying and Love Obsolescence” (Stanford University Press, 2025)
By Benjamin Mangrum, associate professor of literature
We often deal with our doubts and fears about computing through humor, whether reconciling ourselves to machines or critiquing them. In fact, this dynamic turns up throughout modern culture, in movies, television, fiction, and the theater. Mangrum analyzes this phenomenon in “The Comedy of Computation,” digging into several facets of modern culture and technology.
“Rubrique Technologie / Tech Section” (Printed Matter, 2026)
By Nick Montfort, professor of digital media in MIT Comparative Media Studies/Writing, and Patsy Baudoin
This work is based on a text generator that produces French and English news items that imagine some of the ways technology will impact us in the near future. Most of the generated news involves people getting struck by autonomous vehicles or even aircraft. Others describe labor disputes, hostile takeover attempts, inventions, and the termination of online services. What is imagined in “RT/TS” is not apocalyptic or discontinuous but actually features many of the same problems we face today; the methods of producing the texts are today’s as well.
“Shared Wisdom: Cultural Evolution in the Age of AI” (MIT Press, 2025)
By Alex “Sandy” Pentland, the Toshiba Professor of Media Arts and Sciences and professor of information technology in the MIT Media Lab
How can we build a flourishing society by using human nature to design technology rather than letting technology shape society? Pentland explores how cultural inventions — from civilizations to the Enlightenment — accelerated innovation and collective wisdom. He argues that understanding these key factors in cultural evolution is essential for solving global challenges like climate change and pandemics, and shows how AI and digital media can aid rather than replace human deliberation.
“Priority Technologies: Ensuring US Security and Shared Prosperity” (MIT Press, 2026)
Edited by Elisabeth B. Reynolds, professor of the practice of urban studies and planning, with a foreword by Simon Johnson, the Ronald A. Kurtz (1954) Professor of Entrepreneurship and professor of global economics and management
A new world order is emerging, and within it, U.S. priorities are shifting. For the country to flourish as well as defend and secure its interests, it must build on its decades of experience in developing frontier technologies and globally competitive industries through investments into priority technologies for the 21st century. This volume presents an introduction to some of the key areas where the U.S. must lead in order to ensure both national and economic security: critical minerals, semiconductors, biomanufacturing, quantum computing, drones, and advanced manufacturing.
Education, work, finance, and social impact
“The Meritocracy Paradox: Where Talent Management Strategies Go Wrong and How to Fix Them” (Columbia University Press, 2025)
By Emilio J. Castilla, the NTU Professor of Management and professor of work and organization studies in the MIT Sloan School of Management
Organizations often hail meritocracy as a fair and efficient way to identify, advance, and reward talent. But efforts to create a level playing field can be held back by talent management systems that confer rewards based on individual performance evaluations. In practice, these merit-based systems “may actually reinforce or create advantages for certain groups,” Castilla contends.
“The Art of Monetary Policy: Lessons from Sun Tzu for Central Banks” (MIT Press, 2026)
By Kristin J. Forbes, the Jerome and Dorothy Lemelson Professor of Management and professor of global economics and management in the MIT Sloan School of Management
Central banks are navigating a world of higher debt, tightly interconnected markets, and rising geopolitical tensions. How might they respond effectively? In “The Art of Monetary Policy,” Forbes draws on the writings of Chinese military strategist Sun Tzu to suggest modern principles for central banks, including preparing for the next financial battle, establishing a strong tactical position, combining weapons and methods, and modifying and varying tactics to maintain flexibility.
“Launching from the Lab: Building a Deep-Tech Startup” (MIT Press, 2026)
By Lita Nelsen, former director of the MIT Technology Licensing Office, and Maureen Stancik Boyce, mentor for the MIT Sandbox program
“Launching from the Lab” provides a much-needed framework for new entrepreneurs who are founding companies based on “deep technology” — groundbreaking innovations rising from new discoveries in fundamental research. Nelsen and Stancik Boyce cover the steps to launch and fund such companies, beginning with emergence from the laboratory and acquiring intellectual property through the intensive research of customer needs, building a team, and raising capital.
“There’s Got to Be a Better Way: How to Deliver Results and Get Rid of the Stuff That Gets in the Way of Real Work” (Hachette, 2025)
By Nelson Repenning, professor of management, and Donald Kieffer
The chaos of everyday business forces people into an exhausting, ineffective, seemingly never-ending cycle of work-arounds, firefighting, and Whac-a-Mole. The irritatingly urgent crowds out the lastingly important. In this book, Repenning and Kieffer describe the game-changing discipline of dynamic work design, which improves productivity, reduces costs, and increases efficiency, ensuring that all parts of a company can work in concert.
“Bayesian Entrepreneurship” (MIT Press, 2026)
Edited by Erin L. Scott, senior lecturer of technological innovation, entrepreneurship, and strategic management in the MIT Sloan School of Management; and Scott Stern, the David Sarnoff Professor of Management of Technology and professor of technological innovation, entrepreneurship, and strategic management at MIT Sloan
This edited volume introduces and explores the concept of Bayesian entrepreneurship, a novel framework for understanding entrepreneurial decision-making under uncertainty. It brings together contributions from leading scholars to examine how entrepreneurs form beliefs about opportunities, learn through experimentation, and make strategic decisions.
“Disciplined Entrepreneurship for Climate and Energy Ventures: 24 Steps to Build Solutions for People and the Planet” (Wiley, 2025)
By Ben Soltoff, entrepreneur in residence at MIT Sloan; Bill Aulet, Ethernet Inventors Professor of the Practice; Tod Hynes, senior lecturer of climate and energy ventures; Francis O’Sullivan, senior lecturer in technological innovation, entrepreneurship, and strategic management; and Libby Wayman, senior lecturer of climate and energy ventures
Climate and energy entrepreneurs face challenges that traditional startup playbooks don’t address. Their ventures can require massive capital and take years to reach market, all while striving to achieve a positive impact on people, planet, and profit. This book adapts the MIT-born “Disciplined Entrepreneurship” framework specifically for climate and energy ventures, recognizing that founders in this space need their own approach.
Arts and design, architecture, urban studies and planning
“Tiny Gardens Everywhere: The Past, Present, and Future of the Self-Provisioning City” (W.W. Norton, 2026)
By Kate Brown, the Thomas M. Siebel Distinguished Professor in History of Science
Nurturing health, hope, and community, gardeners in cities and suburbs are reclaiming lost commons, transforming vacant lots into vibrant plots, turning waste into compost, and recreating what was once the most productive agriculture in recorded human history. In a book with global scope, ranging from Estonia to Amsterdam and Washington, Brown contends that urban gardening has many positive spillover effects, from health and environmental benefits to community-building — apart from periods of pushback when others are trying to eliminate it.
“Small-Town Renaissance: Bridging Technology, Heritage, and Planning in Shrinking Italy” (Springer Nature, 2025)
Edited by Brent D. Ryan, vice provost and professor of urban design and public policy in the Department of Urban Studies and Planning; Carmelo Ignaccolo PhD ’24; and Giovanna Fossa
This book explores the transformative power of digitization in rural regions — where technology isn’t just a tool, but a lifeline for local culture, economic resilience, and future development. Born from a unique research collaboration between the MIT and Politecnico di Milano, this book brings together scholarly work on shrinking towns, economic development, and digital innovation. The project tackled some of the most pressing challenges facing rural Italy — from population decline to economic stagnation — through the lens of digital transformation.
“Blanking: An Annotated Archive of Projects and Thoughts on Architecture” (Park Books / University of Chicago Press, 2026)
By Rosalyn Shieh, assistant professor in the Department of Architecture, and Troy Schaum
Based on the work and vision of their architecture firm Schaum/Shieh, this book shares what is said and what can be heard in a studio. So much of architectural thinking and knowledge is presented, formulated, and traded in spoken words: pinups, meetings, walkthroughs. Those exchanges inform this book, in which ideas and knowledge that are usually only spoken are made accessible to readers.
“Design Before Disaster: Japan’s Culture of Preparedness” (University of Virginia Press, 2026)
By Miho Mazereeuw, associate professor in the departments of Architecture and Urban Studies and Planning
Few countries have faced as many environmental disasters as Japan, which has endured typhoons, cyclones, floods, earthquakes, volcanic eruptions, and tsunamis. Japanese residents have responded to their precarious circumstances by developing a unique culture of disaster preparedness, equipping the island nation to plan for future emergencies and to greatly reduce their impact. Mazereeuw offers a detailed framework to design and prepare for anticipated disasters and describes effective interventions in urban landscape and architecture.
“Reconstruction as Violence in Assad’s Syria” (American University in Cairo Press, 2025)
Edited by Nasser Rabbat, professor of architecture and director of the Aga Khan Program for Islamic Architecture at MIT, and Deen Sharp, with a foreword by Hashim Sarkis, dean of the MIT School of Architecture and Planning
This book delves into the complex interplay of post-conflict reconstruction in Syria, challenging the traditionally held dichotomy between the end of violence and the commencement of rebuilding. The contributors to this volume — architects, urbanists, geographers, and historians — employ critical concepts such as urbicide, domicide, and “civilian crisis architecture” to argue against the conventional theoretical frameworks that support a neat separation of phases.
How architecture influences political activity In Ghana, semi-communal “compound houses” affect how much people vote and participate in political activity, new research shows.Could the precise architectural form of your residence influence how much you participate in politics?
A new study by MIT scholars finds this to be exactly the case — at least in Accra, Ghana, where many people live in semi-communal structures known as “compound houses,” often sharing kitchens, bathrooms, and common living-room spaces, while having private bedrooms.
The detailed study of homes in Ghana’s capital finds that residents of compound houses are more likely to vote, attend rallies, and take part in political campaigns, compared to people with more private forms of housing.
“The overarching pattern we find is that if you compare people who live in compound houses to residents of other housing types, like single-family homes or self-contained apartments, there is a pretty big difference in political actions,” says Noah Nathan, an MIT political scientist and co-author of a newly published paper detailing the study’s results. “People seem to vote more, and there are more other types of political behavior, like going to rallies, participating in campaigns, and contacting politicians.”
While those differences could stem from factors other than housing, the highly granular study suggests the architecture itself really matters. The researchers examined the specific floor plans of compound houses and found variations in people’s political information and social connections — key factors that existing studies show predict political activity — that map to differences in where people live within compound houses.
“We show that those kinds of social relationships and exchanges of political information seem to vary systematically with people’s individual locations within the layouts of the buildings they live in,” says Nathan, an associate professor in MIT’s Department of Political Science. “That’s consistent with architectural design leading you to have different levels of political participation.”
The open-access paper, “Vernacular Architecture and Grassroots Urban Politics: How Politics Is Embedded in Residential Design,” appears in the American Political Science Review. Nathan’s co-author is Paige Bollen PhD ’23, an assistant professor of political science at Ohio State University.
Compound effects
Compound houses are a common form of residence in Ghana, much of West Africa, and some other parts of the world. They tend to house lower-income people who construct them out of inexpensive local materials. Trying to understand their effects is part of taking seriously the idea that place, and space, influence how people live.
“Rather than just thinking of cities as big agglomerations of people, we should evaluate cities through their actual built forms and designs,” Nathan says. “Space affects politics because people interact with each other in space. It’s not just that people are near each other, but the designs force them to interact or talk in ways that affect how information is exchanged and how social networks form, and that can aggregate up into politics in terms of action and cooperation.”
To conduct the study, Nathan and Bollen used three forms of data to draw out the effects of compound houses on politics. Through pre-existing administrative and electoral data, they first show that polling stations in neighborhoods with a high proportion of compound houses have better electoral turnout than neighborhoods with fewer compound houses. And from existing national survey data, the researchers determined that residents of compound houses actively participate in politics more often.
The researchers then conducted an original research survey of 1,272 residents in 391 compound houses in 30 neighborhoods of Accra, combined with mapping that showed the layout of those compound houses and where the survey participants lived within each one. In this way, they showed the effects of compound houses more precisely: Living in parts of them with especially high exposure to other people actually increases the amount of social network ties people report, as well as the amount of political information they obtain.
Quantitatively, changes in the centrality of people’s locations within compound houses seem to make a bigger difference in political engagement than other fundamental non-housing factors, such as changes in employment or measures of socioeconomic status.
“We leverage that variation to show that even within compound houses, the people with more exposures to neighbors have different social network ties and different forms of information than neighbors who live in more private locations,” Nathan notes.
Encouraging participation
As the scholars discuss in the paper, the effects of architecture on civic involvement are hardly immutable, but likely depend very much on the type of political state in question.
“We think under different conditions, this kind of architecture could have different effects,” Nathan says. “If you live in an authoritarian regime with an active police state, inhabiting an architecture in which you’re constantly on display to your neighbors is probably going to have the exact opposite implications from what we find in the study.”
However, he adds, since Ghana has a generally healthy democracy and is not a repressive state, “In this context, where there are not such high costs to participating in politics, we think these effects are going to break in the direction of more political participation.”
The study itself is an outgrowth of long-running, overlapping research interests on the part of Nathan and Bollen. Nathan is currently developing a book project about urban form, architecture, and politics both in Ghana, where he has conducted research for many years, and in other cities across the African continent. Bollen conducted her PhD research at MIT on public spaces, interactions, and political dynamics in Ghana and South Africa; her advisor was MIT Professor Evan Lieberman.
Sociologists, management experts, architects, and planners have all studied the effects of building design on human behavior, but have often focused on issues such as workplace productivity. Some political scientists, including MIT Associate Professor Bernardo Zacka, have also highlighted the salience of architecture to politics. But few political scientists have undertaken quantitative empirical studies of the subject. If they do, Nathan thinks, the results might surprise some people.
“There’s a famous idea that cities can be anonymizing,” Nathan says. “I think that’s actually not true. When you go to urban Ghana, people know each other, and there is a great deal of social capital and social connections. And I think part of the reason is that many people live in architectures that are not anonymizing.”
Improving the speed and energy-efficiency of AI agentsA new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it.
But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy, and cost.
To improve efficiency, researchers from MIT and Microsoft developed an intelligent system that streamlines the process of designing agentic workflows and automatically optimizes how those workflows are implemented.
With this new method, a developer can describe what they want the agentic workflow to do in plain language, without needing to specify all the details of their application in advance.
The system automatically figures out the best models and tools to use, as well as the ideal hardware configuration and computational resource allocation when the workflow is executed by a cloud provider.
It adjusts those configurations on the fly based on each user’s priorities, such as minimizing costs or maximizing speed.
When tested on several agentic workloads, this new system reduced the number of computational units needed for deployment, significantly cutting energy requirements and costs compared to traditional approaches without hampering performance.
“Agentic workflows are getting very complicated and quickly becoming the backbone of what cloud providers are doing. Energy usage is a huge concern, so we need to be very careful about how efficient these workflows are. It is very easy to over-allocate resources, wasting energy and money. Enabling a cloud provider to intelligently make these workflows more resource-optimal is a win for everyone involved,” says Gohar Chaudhry, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on this system.
He is joined on the paper by Adam Belay, an associate professor of EECS and a member of the MIT Computer Science and Artificial Intelligence Laboratory; senior author Ricardo Bianchini, technical fellow and corporate vice president at Microsoft Azure; and others at Microsoft Azure. The paper will be presented at the USENIX Symposium on Operating Systems Design and Implementation.
A configuration conundrum
An agentic workflow is a system composed of several autonomous AI agents that collaboratively use various models and tools, like databases or Python programs, to dynamically complete a multi-step task, such data processing or code generation.
These workflows can serve as behind-the-scenes processes that power user-facing applications.
Typically, developers must hard-code all technical choices upfront. They need to define which AI agents, models, and tools to use, and the order in which to use them. They also must specify the hardware that runs the workflow and how to balance tradeoffs like speed versus cost.
This is especially challenging because agentic workflows bring together multiple black-box models and diverse tools, each with their own configuration options, which may be offered by different companies.
If a new AI model is released that would improve the application’s accuracy or efficiency, the developer would need to start from scratch to implement it.
“Even if you wanted to do all this manually, it is unlikely that you’ll be able to configure the workflow optimally because the space of possible configurations is so large,” Chaudhry says.
In addition, the cloud data center that deploys the application for customers can’t see inside the workflow to allocate its hardware resources in the most efficient manner at the time of the user’s request.
With this new system, called Murakkab (an Urdu word that means a composition of things), the researchers sought to optimize the entire agentic workflow process.
Dynamic decision-making
First, Murakkab enables developers to create an agentic workflow by describing their intent for the application in high-level terms, rather than detailing how the many components of that workflow should be combined.
For instance, a developer might describe a video Q&A application that extracts key frames, generates a transcript, and then answers user queries about the video.
“There are many ways to do this, and all these different models and tools have implications on how fast the application can finish the task,” he says.
Murakkab takes the developer’s straightforward specifications and automatically identifies the best existing models and tools to put together into the workflow.
It also determines which components need to run sequentially and which can be run in parallel to boost performance.
“The platform makes configuration decisions dynamically over time, so if a new model or GPU accelerator comes out tomorrow, the developer doesn’t need to worry about that,” he says.
When the cloud provider deploys that application for a customer, Murakkab optimizes the workflow by configuring its components to meet the user’s constraints, such as prioritizing accuracy while meeting a latency requirement.
It adaptively identifies ideal hardware allocations and deployment schedules to maximize efficiency in real time, then generates a workflow that is ready for the cloud provider to execute.
“Our system also gives cloud providers visibility into multiple workloads, so the provider can share computational resources in the most efficient manner while satisfying the constraints of users,” he says.
When tested on diverse agentic workflows for video Q&A and code generation, Murakkab met user requirements while using only about 35 percent of the computation required by other methods. It consumed only about 27 percent as much energy for less than 25 percent of the cost.
The dynamic nature of Murakkab also enables users to balance tradeoffs. In one instance, the system lowered energy consumption of an agentic workflow by more than an order of magnitude with only about a 2 percent drop in accuracy for the customer.
The system was also able to identify an unexpectedly ideal configuration for a model that selects video frames, optimizing performance for a video Q&A task. This type of optimization would be nearly impossible for a developer to do manually, Chaudhry says.
Next, the researchers plan to expand their system to more complex workflows and larger computing clusters while exploring opportunities to optimize new agentic applications.
“There is a lot of potential to make these workflows more resource-optimal so they consume far less energy, but we need to be thinking about this at the scale of major cloud platforms,” says Chaudhry.
This research was supported, in part, by the Semiconductor Research Corporation and the U.S. Defense Advanced Research Projects Agency.
What happens when environmental change outpaces life’s ability to adapt?A new model links Earth’s mass extinctions to mismatches between rates of environmental change and biological adaptation.When an animal’s environment changes faster than the animal can adapt, its chances of survival can flat-line. The same is true for populations, and even entire species.
Now, scientists at MIT and the University of Leicester have found that this connection between evolutionary adaptation and the pace of environmental change holds up at the global scale as well — and can determine life’s susceptibility to mass extinction. The researchers developed a theoretical model of this phenomenon, which they present in a paper appearing today in Physical Review Letters.
The team compared the model with available data from past major mass extinctions, including how fast the global environment changed at the time of each event. The model successfully predicted the severity of most mass extinctions in Earth’s history, or the fraction of life that was unable to adapt, and therefore went extinct.
Interestingly, the researchers found that the range of adaptation rates across animal groups is broadly similar to the range of rates at which the environment can change.
“What we’re beginning to see is a certain level of organization, and ways in which life behaves that are consistent with the ways in which the environment behaves,” says study author Daniel Rothman, professor of geophysics and co-director of the Lorenz Center at MIT. “It may be that life has evolved so that its range of adaptabilities matches the range of stresses that it meets.”
Rothman’s study co-author is Sergei Petrovskii, professor of applied mathematics at the University of Leicester in England.
A catastrophizing connection
The connection between extinction and environmental change is not new. In the late 18th century, the French naturalist Georges Cuvier, who is often referred to as the founding father of paleontology, was the first to propose the concept of “catastrophism.” He had discovered fossil bones near Paris that didn’t match any animal known to exist at the time. Cuvier concluded that the bones were from a group of giant mammals that existed at one time but was no longer around. He proposed, then, that an entire species could disappear, or go extinct, likely due to a widespread catastrophe.
“That itself was a major idea, that a species could go extinct,” Rothman says. “And he had suggested it was an environmental catastrophe that had caused it.”
The concept of catastrophism later gave way to the view that Earth’s history was shaped mainly by slow, gradual processes. But in the mid-20th century the American geologist Norman Newell revisited the problem. In seeking the cause of extinctions, he proposed what Rothman and Petrovskii call the “rate-mismatch” hypothesis, the notion that extinction occurs when the rate of environmental change is higher than the rate at which a species can evolve to adapt.
Biologists have since observed Newell’s hypothesis play out in many cases where changes in the environment have driven the extinction of individual species. Rothman and Petrovskii wondered: Could the hypothesis also apply at the global scale?
“We know that individual species go extinct when environmental change outpaces their ability to adapt,” Rothman notes. “But it hasn’t been clear whether this same idea applies at the scale of global extinction events.”
Finding a mismatch
For their new study, the researchers looked to test the rate mismatch hypothesis at the global scale. They wanted to see whether mass extinction events in history can be explained by a mismatch between the rate of global environmental change and the rate at which life around the world can adapt.
To do so, at least in theory, they would have to compare two sources of data: the rates at which the global environment has changed over time and the rates at which different groups of organisms adapt to environmental change. The first can be found in geological records, which scientists have used extensively to infer how the Earth’s climate changed through history. The second, however, is almost impossible to record.
“We’re talking about the rates at which organisms adapt to major environmental change at effectively geologic timescales, from thousands to millions of years,” Rothman says. “And that doesn’t lend itself to direct observation.”
In place of actual data, the researchers aimed to construct a general mathematical theory to describe the range of adaptation rates across animal groups around the world. In this context, “adaptation” refers to any change within a species, over time periods that are much longer than a generation, that enable the species to persist as its environment changes.
It is generally understood in evolutionary theory that a species can successfully adapt only when multiple conditions are met. For instance, there needs to be variation in the population, these variations must be heritable, some variations enable an organism to adapt better than others, and the organisms that adapt better should leave more offspring. If all these conditions are met, the entire species should be able to adapt to a given environmental change. However, if any one condition fails, the population will go extinct.
Rothman and Petrovskii recognized that in this case, a species’ probability of successfully adapting multiplies with every condition that it meets. And it turns out that this pattern can be described mathematically as a very simple, bell-shaped curve. Such a curve essentially describes what fraction of the world’s animals can adapt at given rates, from the slowest to the fastest adapters, and how this fraction changes nonlinearly with the rate of adaptation. This curve generally shows that most animal groups can adapt at intermediate rates, while fewer animal groups adapt at the slowest and fastest rates.
After they established this general pattern of adaptation rates, the researchers looked to see how this pattern compares to recorded rates of environmental change, and how these two rates match, or don’t match, at times of mass extinction.
To do so, they considered paleontological and geochemical data from 27 episodes over the last 450 million years where the carbon cycle experienced significant change — a measure that is generally understood to reflect global environmental change. They then compared rates of environmental change with the fraction of animal groups that went extinct during each episode — numbers that were established previously in a well-regarded study by paleobiologist John Alroy.
In the end, Rothman and Petrovskii observed that indeed, for almost every mass extinction event in the last 450 million years, there was a mismatch in the rates at which the environment changed and at which animals could adapt; mass extinctions occurred when a significant fraction of animals could not adapt fast enough to match the changing environment. Their results confirm that the rate mismatch hypothesis applies at the global scale.
What’s more, this mismatch in rates could predict the severity of extinction events, or the fraction of animal life that went extinct given the rate at which the environment changed.
In the case of the end-Permian extinction, it’s likely that the rapid acidification of the ocean outpaced organisms’ ability to evolve adequate protections, leading to the extinction of over 80 percent of the world’s marine species.
The team’s work focuses on applying the new model to past extinction events. But the work could also provide a framework for understanding modern extinction risk.
“Carbon dioxide levels in the ocean are increasing today at a rate which, when appropriately re-scaled, is similar to rates of carbon-cycle change that are just lower than those associated with major extinction events in the past,” Rothman says. “It suggests that modern environmental change may be approaching rates beyond which adaptation becomes increasingly difficult.”
This research is supported, in part, by Schmidt Sciences, LLC; the MIT Climate Grand Challenges; the U.S. National Science Foundation; the European Space Agency; and the London Mathematical Society.
Computer model could enable bridges and buildings that use less materialMIT researchers developed an approach for generating more buildable structures, bridging the gap between optimized design and real-world construction.In 2022, global production of construction materials accounted for more than 7 percent of total carbon emissions. But how many of those materials were truly necessary to build houses, buildings, and bridges?
A technique called topology optimization can design structures that reduce the amount of material used, in some cases by as much as 90 percent, which would represent a multi-gigaton reduction in building emissions. Unfortunately, topology optimization is mostly used by researchers for applications like 3D printing rather than by engineers designing at the scale of buildings and bridges.
That’s because topology optimization doesn’t create structures that can easily be built on time and budget, which are the things builders really care about.
Now MIT researchers have created a way to make topology optimization designs more buildable. Their framework, described in a new paper in Automation in Construction today, allows users to apply constraints to algorithmically generated structures to limit their complexity. For instance, the approach allows users to limit how many components meet at each point of their design and how small they want their smallest parts. It also builds on previous work by designing structures with multiple materials and taking into account materials’ properties to distribute load and specify part connections.
“There’s an interplay between the materials you’re using, the constructability of designs, and the optimization of the structure,” says senior author Josephine Carstensen, MIT’s Gilbert W. Winslow (1937) Career Development Professor in Civil Engineering. “You need to be able to address all three at the same time. That’s what we tried to do here.”
The researchers used their approach to design steel, wood, and multimaterial truss structures that support loads in buildings and bridges, showing the carbon emissions associated with materials changed significantly when different constraints were applied. They hope their framework will move topology optimization closer to being used in real-world construction.
“In the literature, there’s sometimes been a disconnect between the carbon savings you can achieve on a computer and the realistic carbon savings you can achieve for built structures — especially when it comes to design technologies like topology optimization,” Carstensen says. “The problem lies in the lack of constructability of designs. These designs have been perceived as too difficult to make with conventional methods, so they are never even attempted. That’s what is exciting about our approach: We can add constraints so that you will never be in a situation where the design that comes out is too hard to make.”
Joining Carstensen on the paper is first author and civil and environmental engineering PhD student Zane Schemmer.
More buildable designs
Computer-based topology optimization has been around for decades. It uses computer programs to optimally distribute material in a given space, for instance creating the strongest possible structures at the lowest weight. The resulting designs are often complex, spider web-like structures that would be a challenge for even the most capable engineers to build.
“A big question Josephine and I were asking is why isn’t industry using it?” Schemmer recalls. “What are the obstacles that prevent industry from designing things more efficiently, and how can we fill the gaps between research and real life?”
In recent years, several researchers have developed ways to make topology optimization easier to use. For their study, Schemmer and Carstensen wanted to bring those approaches together and add new capabilities, like creating designs that use multiple materials, which has been another challenge in the field.
“A big aspect of sustainability going forward will be not only using less material, but also implementing materials efficiently based on considerations like where you are in the world, your access to materials, and each of their associated carbon costs,” Schemmer says.
To build their framework, they used a class of equations called mixed integer algorithms that help make binary decisions about things like materials and connections.
“You can’t have a part that’s 72 percent timber and 28 percent steel,” Schemmer says. “Instead, it says, ‘This truss or cable is going to be made out of this,’ and then based on that decision, how do we make sure all of these connections meet their strength standards?”
The system’s decisions also take into account material properties. For instance, steel struts can withstand compressive loads, but steel cables cannot. The model also has more realistic modeling of how parts connect than previous approaches.
“In 3D printing, the way things come together is easy,” Carstensen says. “In construction, that’s not the case. If you’re building with timber there’s a certain rule set, versus steel has a different rule set.”
Users can also decide how complex they want their design to be by specifying the maximum number of connections at each joint and the minimum angle between connected components. The model also creates minimum size limits for parts, further improving its constructability.
“It’s tough to give a contractor these complex, intricate designs because it’s going to be super difficult to build,” Schemmer says. “A lot of times contractors won’t pick up a project like that to begin with.”
The researchers compared structures designed with their approach to structures designed with conventional topology optimization, showing dramatic differences in final designs that transformed how the structures would be built. Using the Lockport “Upside-Down Bridge” near Buffalo, New York, as an example, they applied individual constraints, like a minimum angle on part connections or minimum part sizes, to the bridge’s truss design, to better understand how each constraint impacted final designs.
Finally, they made truss designs that used wood only, steel only, and combined wood and steel, showing how different projects offered tradeoffs with respect to environmental impact and constructability.
“We saw how the system knew that you could design a bridge of pure steel, but that might not be best from a carbon standpoint,” Schemmer says. “Or you could design a bridge out of purely timber, but that might not be the strongest. But these materials can work together, so you use timber for the carbon savings and steel where you need extra strength, and there’s a balance you can find in these structures.”
From research to industry
The researchers say their approach is more computationally intensive than some others, but they were able to use a MacBook Pro to run the programs in their experiment, and they believe it’s practical for most civil engineering firms.
“It’s computationally a little tougher to solve, but there’s a lot of tools coming out nowadays that make these problems a lot more feasible,” Schemmer says. “This approach has been avoided by industry in the past, but now we think it’s a practical way to solve problems dealing with variable constraints.”
If users have more computational resources, the researchers say their approach could work with a long list of materials and far bigger structures than homes, small buildings, and bridges.
Moving forward, Carstensen says the team plans to build scaled-down structures designed by the model to further validate its predictions. They also want to add constraints to their model to make it even more seamless for civil engineers to use when designing the world’s infrastructure.
“As a structural engineer by training, I was never taught how to design for low-carbon,” Schemmer says. “To tackle a problem as big as climate change, addressing the built environment is a great place to start. One of the most tangible things we can do is work at the layer of construction, at the design stage, because that’s a fundamental step that we can control. There’s a lot of decisions we make early on that lead us to use extra material we don’t need.”
The work was funded by the MIT Morningside Academy for Design.
New chip could help tiny robots traverse complex environmentsResearchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.A new chip developed by MIT researchers could help tiny, low-power UAVs avoid obstacles as they zip around tight corners inside an industrial HVAC system to check for gas leaks.
The chip allows small autonomous robots and other battery-limited devices to construct detailed 3D maps of their environments in real-time using only about as much power as a single LED. A robot could use such a map to plan a collision-free path to reach its goal.
Typically, generating such thorough maps requires power-hungry systems and a great deal of memory to build and store 3D representations of the obstacles in a robot’s environment.
The MIT researchers took a different approach by combining an extremely efficient mapping algorithm with specialized hardware designed to accelerate its workload, which minimizes memory and power consumption.
This system-on-a-chip consumes only about 6 milliwatts of power, a fraction of the power required by other systems.
This low-power operation could also make the chip well-suited for lightweight augmented reality headsets that can be worn for extended periods, for applications like educational medical simulation or detailed repair and assembly work.
“This paper showcases a key example of how you can leverage co-design of the algorithm and hardware to really push energy efficiency. While there has been a lot of work looking into compact 3D maps, what stands out about this work is that it also ensures that the process to generate those maps is as efficient as possible. Our chip allows you to store very large maps in a very small space, and do it in a very energy efficient manner,” says Vivienne Sze, a professor in the Department of Electrical Engineering and Computer Science (EECS), a member of the Research Laboratory of Electronics (RLE), and senior author of a paper on the chip.
She is joined on the paper by co-lead authors and MIT graduate students Zih-Sing Fu and Peter Zhi Xuan Li as well as Sertac Karaman, a professor of aeronautics and astronautics and the director of LIDS. The work was recently presented at the IEEE Very Large-Scale Integrated Circuits Symposium.
A more compact map
For a robot, generating a 3D map that includes the obstacles in its environment usually demands a lot of power because it must store images captured by its camera, and process all the 3D pixels in each image multiple times.
Instead of representing the environment using 3D pixels, which are cubes called voxels, the MIT researchers utilized a technique that maps the obstacles in space using ellipsoid blobs called Gaussians.
The size, shape, and thickness of these ellipsoids can be smoothly adapted, so they match the shape of curved objects more efficiently than if one uses rigid, cube-shaped voxels.
Importantly, the map captures the obstacles and free space around the robot, and together these let the robot plan a safe, collision-free path. Mapping obstacles and free space with voxels typically consumes a lot of memory, which makes traditional methods power-hungry. Because Gaussians can flexibly fit the geometry, a single elongated ellipsoid can represent a region that would take many voxels, so occupied surfaces and free space are captured far more compactly.
For their new system-on-a-chip, called Gleanmer, the researchers employed an algorithm their lab developed called GMMap that efficiently generates a 3D map of the robot’s environment using Gaussians to represent obstacles.
With traditional approaches, a robot would need to load and process each depth image several times to adjust the size and shape of the ellipsoids. The system would usually construct Gaussians by comparing all the pixels in an image to each other. But the amount of memory and power needed to do this remains too high for many edge devices.
To solve this problem, the MIT researchers invented a technique that can generate highly accurate Gaussians from depth images with only one pass, after which they can discard the images, so the chip never has to store an entire image at once.
Instead of comparing each pixel to every other pixel in the 3D image, their algorithm assumes that nearby pixels belong in the same Gaussian, so it only needs to compare each pixel to its neighbors.
“At any point in time, we only need to store a few pixels in memory, which significantly reduces the memory footprint our algorithm requires,” Li says.
Leveraging co-design
But as the robot moves through the space, it usually sees the same object from different viewpoints. When it generates Gaussians, some will overlap because they represent the same object. This can make the 3D map too large to store on an edge device.
Fusing overlapping Gaussians makes the map more compact, but doing so typically requires the algorithm to process many raw pixels stored in memory. The researchers developed a novel technique to perform this fusion process directly on overlapping Gaussians, without needing to revisit the original pixels. Since Gaussians are more compact than pixels, this significantly reduces memory and power requirements.
The same principle runs through their algorithm — most computations operate directly on compact Gaussians rather than the original pixels, enabling energy efficiency.
The researchers exploit this principle to design a chip that keeps the Gaussians it is actively working on within small, fast on-chip memory right beside the computational units. This is only possible because the Gaussian map is so compact.
The Gaussians the robot needs to work on next are waiting in the on-chip memory units, so they don’t need to be fetched from more distant, power-hungry, off-chip storage.
“By having a dedicated memory that just stores the objects you’ve seen in the previous few frames, you can access the data much more efficiently,” Fu explains.
They tested the system-on-a-chip by reconstructing a range of diverse, pre-existing 3D environments. The chip can also reconstruct obstacles and free space directly from live data streamed from an iPhone camera.
Gleanmer generated detailed 3D maps in real-time while consuming about 6 milliwatts of power. It required only about 2.5 percent of the power that the best existing chip for map construction would need.
By reusing compact Gaussians along the path as it plans, the chip lets a robot chart a safe trajectory using only about 20 percent of the energy it would otherwise need.
“We reduce the memory consumption by making sure the algorithm is efficient. Then we accelerate the workload that is performed by that efficient algorithm, so in the end, our chip is as efficient as possible,” Li says.
The researchers plan to further improve energy efficiency by moving the processing units on the chip closer to the sensors that gather environmental data. They could also explore additional applications, such as the use of Gaussians to represent schematics. This could help AI systems reason about complex blueprints more efficiently.
“Real-time 3D mapping has been the missing piece for small autonomous systems. A drone inspecting a pipeline or a pair of AR glasses navigating a room both need to understand the space around them — instantly, continuously, and at almost no power cost. Gleanmer makes that possible for the first time in a chip you can hold between your fingers,” says Karaman.
This work is supported, in part, by the MIT-MathWorks Fellowship, Amazon, the U.S. National Science Foundation, and Intel.
A better way to model the behavior of metal alloysMIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.Companies working at the frontier of aerospace, energy, and computing are constantly looking for new materials to improve performance. But in order to understand how those materials will actually behave once they’re inside rockets or on computer chips, companies first have to make the material and then test it. That’s because even the most powerful simulation techniques struggle to model the complex chemical arrangements in most of today’s solid materials. The problem adds costs and time to materials innovation.
Now a team of MIT researchers has created a way to accurately model the behavior of metals, regardless of the complexity of their chemical arrangement. At the center of the approach are machine-learning models that make simulations of materials faster and more accurate. The researchers improved those models by building training datasets that capture the diversity of atomic environments in chemically disordered materials.
In a new paper in Sciences Advances, the researchers showed their approach could be used to accurately predict material properties for a diverse group of metal alloys under a range of conditions. They also showed how the approach could be used to develop new materials, especially in scenarios where experimentation is expensive.
“The focus of the paper is metallic alloys, which is the field I work in, but this could be adapted to other types of materials, like semiconductors,” says senior author Rodrigo Freitas, MIT’s TDK Career Development Professor in Materials Science and Engineering. “This is not specific to any one application — you could use this approach to create new sustainable steels, new materials for aerospace, and more. That’s what makes this exciting.”
Joining Freitas on the paper are first author Killian Sheriff PhD ’26; MIT PhD students Daniel Xiao and Yifan Cao; and University of Sheffield Senior Lecturer Lewis R. Owen.
Modeling metals
Material properties are mostly determined by the internal arrangement of their chemical elements. Even if two materials have the same mix of chemical elements, different chemical arrangements can make the difference between a brittle material and one that deforms without breaking.
Capturing that distinction requires simulating materials atom by atom. To do that, researchers rely on models that describe how atoms interact with each other. Over the last two decades, machine learning has become the most accurate way to build those models. Such models work well when the chemical arrangements inside materials follow highly ordered patterns, but that’s not the case with most solid materials, whose atomic chemical arrangements are disordered and vary from one region to another.
“The real challenge in our field is modelling these chemically disordered phases,” Freitas says. “Chemical disorder means there’s a huge variety of local chemical environments, which is hard for the machine-learning model to learn. This is a problem because every single metal we use in practice is chemically disordered.”
The problem comes down to a lack of representative training data for those atom-by-atom simulations. The current leading approach for creating such data works by brute force, often requiring more than 100,000 hours of computation to create the training data for a single material. Even then, it does not transfer well when researchers change the material’s composition.
In previous work, Freitas’ group had developed a way to measure the chemical complexity of solid materials by analyzing the frequency and spacing of tiny groups of atoms. For this study, the researchers used that capability to build better training datasets. They used a mathematical approach known as information theory to generate training datasets that capture a wider variety of local chemical environments inside disordered materials. The method works by swapping out atoms from samples to reduce repetition and expose the model to chemical environments it might otherwise miss.
“We kept optimizing the training set so it captured as many different local environments as possible,” Freitas says. “If the same kind of environment showed up many times, we replaced redundant examples with ones the model hadn’t seen before. That makes the training set much more informative because each example adds something new.”
When trained on the researchers’ datasets, the models predicted material properties more accurately than models trained using random sampling or another popular sampling method.
“The starting point for all these atom-by-atom simulations is: Are you able to accurately describe the chemical bond between atoms?” Freitas explains. “If not, it can still teach you about materials in general, but it doesn’t tell you what will happen to specific materials in the real world. This approach makes the simulations high fidelity in terms of their chemistry, to better reflect what’s happening to materials.”
The researchers applied their technique to create machine-learning training datasets for a group of chemically diverse metal alloys. Using a set of machine-learning models, they showed the models trained on their datasets are more accurate than much larger models created by companies like Google and Microsoft.
“We got to a point where we were convinced it worked without using these expensive brute-force methods,” Freitas says. “I told Killian, ‘This is a good paper. But if you can show that simulations with these models can now accurately predict useful materials properties, then it becomes a very good paper.’ Killian took that to heart and tested this as widely as he could.”
Sheriff worked with Xiao and Cao to test the approach across different alloys and properties. The team also drew on Owen’s experimental data to compare the simulations against real measurements of atomic ordering in alloys.
From the lab to industry
The method works, in part, by capturing hidden patterns in the sample data. The researchers describe the patterns in the paper as “subtle energetic biases toward certain local chemical configurations.”
Those small energetic differences matter because they determine which phases form in an alloy, how those phases change with temperature and composition, and ultimately which properties the material will have. As one test, Daniel Xiao led simulations showing that the team’s models could predict phase diagrams that closely matched experimental data. Phase diagrams map which phases are stable across different temperatures and chemical compositions, and they are a central tool for designing and processing alloys.
“Phase diagrams are one of the main ways people connect materials modeling to real processing decisions,” Freitas says. “If you are welding, casting, or heat-treating an alloy, you need to know which phases are likely to form under different conditions. Our goal is to make these kinds of predictions accurate enough, and accessible enough, that they become part of how people design materials.”
The researchers are now using the approach to study how changing an alloy’s composition affects mechanical properties and radiation tolerance, with the goal of designing materials that remain strong and damage-tolerant in harsh environments. They are also working to make the method easier to use with the kinds of tools and workflows materials engineers already rely on.
“Industry isn’t going to change the way they do things if what you’re creating doesn’t fit into their existing operating procedures,” Freitas says. “The goal is to make these predictions useful in the places where materials decisions are actually made.”
The research was supported by the U.S. Air Force Office of Scientific Research.
On June 9, The Boston Globe released its 2026 “Tech Power Players” list, recognizing 50 influential local leaders in technology and business across Massachusetts. The list includes eight MIT affiliates including President Sally Kornbluth, Prof. Daniela Rus (director of CSAIL), Prof. Regina Barzilay, Prof. Yet-Ming Chiang, Prof. Max Tegmark, Ana Bakshi (executive director of the Martin Trust Center for MIT Entrepreneurship), Katie Rae CEO and Managing Partner of Engine Ventures), and Senior Lecturer Brian Halligan, along with a number of MIT alumni.
In addition to recognizing individual leaders, the Power Players coverage highlights MIT’s research labs, its culture of innovation and entrepreneurship, industry connections, new AI initiatives, and the Institute’s deep commitment to maintaining Massachusetts’ technological leadership.
“Massachusetts can absolutely lead in this next wave,” says President Kornbluth, noting that the future is bright with burgeoning opportunities to advance technologies in fields from manufacturing, life and health sciences to quantum technologies and energy in service of Americans across the country.
Advancing AI and entrepreneurship
When it comes to AI, MIT is “working to drive artificial intelligence forward in sectors where the region is strongest, from biotechnology and robotics to defense and clean energy. It’s also trying to broaden entrepreneurship through a ‘dorm-to-startup’ push, creating a pipeline of support services — from hack-a-thons to venture funding — to help students to start companies between classes,” writes Robert Weisman for The Globe.
Looking ahead, The Globe highlights how MIT aims to remain a central driver of AI advancement within higher ed.
“President Sally Kornbluth is reinvigorating the school’s support of the local innovation ecosystem,” writes Aaron Pressman, noting how MIT is “unveiling new online classes dedicated to AI — with free entry-level classes for anyone — and encouraging more entrepreneurship on campus.”
MIT’s free, online AI courses could help local tech leaders in their challenge “to ensure people, not only corporations, benefit from the technology,” writes Pressman.
And when it comes to applying AI technologies to real-world problems, MIT aims to ensure the greater Boston area remains a leader.
“Some schools in Massachusetts, including MIT, are carving out a specialty in applied AI — sometimes called ‘AI+X’ — deploying the technology to help businesses, hospitals, and research institutions to supercharge productivity, innovation, and scientific breakthroughs,” explains Weisman.
Aman Narang ‘04, CEO of Toast, adds: “The superpower has always been the university system. The best thing Boston can do is keep these people around.”
MIT startups are a key driver of the region’s entrepreneurial ecosystem. To ensure the greater Boston area remains a hub for innovators and to respond to growing student interest, MIT is looking to build upon its existing entrepreneurship resources for students, including the more than 150 courses and 85 centers and programs dedicated to fostering an entrepreneurial community. Additionally, President Sally Kornbluth and Provost Anantha Chandrakasan recently formed the Committee on Accelerating Translation and Entrepreneurship (CATE) to explore anew how the Institute can best support, remove barriers to, and accelerate the movement of ideas from MIT’s research and innovative discoveries into new ventures.
Further, reflecting on the optimism surrounding the Greater Boston tech scene, The Globe describes how applications for The Martin Trust Center for MIT Entrepreneurship’s startup accelerator program have doubled from last year, and nearly one-fifth of MIT undergraduates — about 800 students — attended a recent startup career fair.
Innovating change beyond MIT
The simple worm could drive the future of AI. This might sound like a squishy premise, but that’s the idea behind MIT startup Liquid AI, which is developing AI models inspired by the brain structure of a simple worm and could significantly reduce AI energy consumption. Liquid AI’s models, “which can uncover financial fraud and pilot autonomous drones, require far less electricity to operate than large language models, saving energy and water, which is used to cool data centers,” Pressman explains.
The Globe highlights how Liquid AI recently signed a deal with Mercedes-Benz to incorporate its technology into the onboard systems of cars sold in North America.
To power new AI technologies – and ensure Americans across the country can have reliable and affordable energy sources – researchers at MIT and a number of alumni are also turning their attention to the future of energy.
In Prof. Yet-Ming Chiang’s lab, researchers are developing batteries that can store more electricity over longer periods, creating “more opportunities for wind, solar, and other clean energy sources.”
Weisman highlights how “Chiang’s lab and other MIT research centers are also working on innovations in microchips, critical minerals, fusion technology, and defense tech. All are examples of ‘tough tech’ projects combining science and engineering, which Chiang says ‘are in the sweet spot of the Boston ecosystem.’“
Soon, 80 MIT students will work as summer interns and employees at GE Vernova, thanks to the MIT-GE Vernova Climate and Energy Alliance, a collaboration aimed at advancing research and education that will accelerate the global energy transition.
GE Vernova CEO Scott Strazik wanted his organization to “plug into the city’s innovation culture,” particularly the MIT campus and community. The company announced it would dedicate $50 million over five years to fund internships and research projects in which students and faculty work alongside GE Vernova engineers and technicians.
The most promising area for the Greater Boston tech scene
The Globe concludes by asking each Power Player what the most promising thing about the Greater Boston tech scene is right now.
For Rus, the answer is: “talent. Boston has the best AI researchers in the world, and they're producing genuinely new ideas, not incremental ones,” she explains.
When it comes to realizing the potential of fusion energy, Bob Mumgaard SM ’15, co-founder and CEO of Commonwealth Fusion Systems, explains that he couldn’t have built the company anywhere but Massachusetts thanks to the region’s expertise in engineering, designing, and manufacturing hardware and equipment and access to university researchers.
“The ecosystem has the building blocks,” says Mumgaard. “Massachusetts is the strongest in the nation in innovation in energy.”
President Kornbluth points to quantum.
“There isn’t a more important technological field right now than quantum science and technology, and the Boston area has the greatest concentration of quantum talent anywhere in the world,” Kornbluth emphasizes.
“We can’t ship goods without functioning ports”PhD student Chelsea Mitchell studies the economic forces that shape shipping ports and their ability to support global supply chains.In the small coastal town of Prince Rupert, British Columbia, the port is the backbone of the community.
Growing up there, with a father who works as a longshoreman, Chelsea Mitchell witnessed the port’s importance firsthand. From an early age, she understood that the port was essential to the transportation of goods in and out of not only Prince Rupert but all of British Columbia’s North Coast. Disruptions to port operations could have ripple effects reaching from dockworkers’ families to the regional economy and beyond.
“The port is central to my hometown’s economy,” Mitchell says. “Having family in the industry gave me visibility into the complexity and the volatility of the shipping industry.”
Today, that industry and the forces that shape it are the subject of Michell’s research as a fourth-year PhD student in MIT’s Department of Economics. She studies how ports and shipping companies compete, how goods move through congested terminals, and how disruptions affect global supply chains.
“When I was younger, I never would have imagined I would get to conduct research at MIT,” Mitchell says. “Prince Rupert is largely a blue-collar town, so I had minimal insight into the world of academic research growing up. But in high school I realized I thrived in an academic environment, especially studying math, and hoped one day I could pursue a PhD.”
She left British Columbia to attend the University of Toronto, where she studied math and economics. There, faculty mentors introduced her to economic research and encouraged her to apply to doctoral programs, eventually leading her to the Institute.
“I was lucky to have mentors in college who encouraged me to apply to MIT. The level of support and quality of advising here has consistently amazed me,” Mitchell says.
Her research focus became clearer in 2023, when longshore workers along Canada’s West Coast walked off the job during a labor dispute centered, in part, on automation and its effect on port employment. The strike lasted roughly two weeks and shut down 35 terminals across the province. That experience left a lasting impression on Mitchell.
“These labor disruptions made me acutely aware that ports were a choke point in our supply chains,” Mitchell says. “They seemed understudied relative to how important they are.”
Because of her family’s ties to the industry, Mitchell was able to spend time speaking not only with her father’s co-workers who were involved in the strike but also with people working throughout the shipping industry.
One of her first major projects examined labor negotiations and competition among American ports. She found that even just the possibility of work disruptions in ports could alter shipping patterns, prompting companies to reroute cargo away from West Coast ports and toward East Coast facilities despite added logistical cost.
Her current work focuses on another major shift in the industry: the growing number of shipping companies that own container terminals.
Traditionally, carriers relied on independent terminal operators to load and unload cargo. Increasingly, however, major shipping lines have begun acquiring terminals themselves. Using detailed vessel-tracking and port-call data, Mitchell studies what happens after those acquisitions occur.
Her findings suggest that ships operated by the acquiring carrier often receive faster service, particularly during periods of congestion when terminal capacity is limited. Competing carriers, meanwhile, face longer wait times and are more likely to divert cargo to other terminals.
“Ports are notoriously capacity constrained, but all carriers need access to them,” Mitchell says. “A central question is what advantages these acquisitions create and whether they affect competition.”
More broadly, Mitchell hopes her work highlights the importance of an industry that has often gone unnoticed by consumers. Approximately 80 percent of global trade moves by sea, making ports essential infrastructure for the modern economy.
“People have become increasingly aware of the shipping industry, but we can’t ship goods without functioning ports,” she says. “We want ports to be reliable and efficient so that supply chains function and goods can remain affordable.”
Mitchell credits her advisors, Nancy Rose and Tobias Salz, with helping her navigate her research, especially through difficult obstacles. More broadly, she says the people she has met at MIT have been the most rewarding part of her experience thus far.
Outside of economics, Mitchell enjoys exercising, skiing, reading, and spending time with friends. She finds that having a work-life balance is essential to her success as a researcher.
“Research is extremely challenging,” Mitchell says. “You invest a lot of time trying to answer questions that you don’t necessarily know are answerable given the data you have. It’s important to have rewarding aspects of your life outside of research that can help keep you motivated.”
Still, whether she is analyzing data in Cambridge, Massachusetts, or returning home to the rugged coastline of northern British Columbia, Mitchell takes a people-first approach to her research.
“I see numbers. I see data. But it’s challenging to tell a story with that data when you don’t have insights from the people who are actually doing the work,” Mitchell says. “Talking to people in the industry has been fundamental to understanding what’s really happening.”
QS ranks MIT the world’s No. 1 university for 2026-27Ranking at the top for the 15th year in a row, the Institute also places first in 12 subject areas.MIT has again been named the world’s top university by the QS World University Rankings, which were announced today. This is the 15th year in a row MIT has received this distinction.
The full 2027 edition of the rankings — published by Quacquarelli Symonds, an organization specializing in education and study abroad — can be found at TopUniversities.com. The QS rankings are based on factors including academic reputation, employer reputation, citations per faculty, student-to-faculty ratio, proportion of international faculty, and proportion of international students.
MIT was also ranked the world’s top university in 12 of the subject areas ranked by QS, as announced in March of this year.
The Institute received a No. 1 ranking in the following QS subject areas: Chemical Engineering; Civil and Structural Engineering; Computer Science and Information Systems; Data Science and Artificial Intelligence; Electrical and Electronic Engineering; Engineering and Technology; Linguistics; Materials Science; Mechanical, Aeronautical, and Manufacturing Engineering; Mathematics; Physics and Astronomy; and Statistics and Operational Research.
MIT also placed second in seven subject areas: Architecture/Built Environment; History of Art; Biological Sciences; Economics and Econometrics; Marketing; Natural Sciences; and Statistics and Operational Research.
Susan Solomon named 2026 Tang Prize laureateThe MIT professor’s groundbreaking work on atmospheric chemistry helped lay steps towards recovery of the ozone layer and demonstrated the lasting impacts of carbon emissions on Earth’s climate.Susan Solomon, the Lee and Geraldine Professor of Environmental Studies at MIT, has been named the 2026 Tang Prize Laureate in Sustainable Development for “groundbreaking advances and leadership in atmospheric and climate sciences that shaped global policy for Sustainable Development,” according to the Tang Prize Foundation.
The Tang Prize is a biennial international award granted by judges convened by Academia Sinica, Taiwan’s top academic research institution, and recognizes four fields of research: sustainable development, biopharmaceutical science, sinology, and rule of law.
“The Tang Prize is one of the most prestigious awards in environmental science, and it’s flooring to anyone to learn that they received it,” says Solomon, who holds joint appointments in the MIT departments of Chemistry and Earth, Atmospheric and Planetary Sciences (EAPS). “It’s a tremendous, tremendous honor, and I’ll try to live up to it.”
Solomon began her career at the National Oceanic and Atmospheric Administration. In 1985, scientists discovered an unexpected “hole” in the ozone layer of the atmosphere above Antarctica. Ozone, a gas made of three oxygen atoms, helps filter out ultraviolet radiation from the sun that would otherwise damage living organisms, with impacts such as increasing rates of skin cancer and cataracts. The following year Solomon, then 30, published a paper proposing a novel chemical mechanism that might explain the mysterious hole. In the same year, she led a team of 16 scientists to take direct measurements of the degradation of the ozone layer, as the only woman in the expedition. Their findings were the first measurements to show that chlorofluorocarbons (CFCs), compounds used in common items such as aerosols and cooling systems, were indeed destroying ozone in the stratosphere.
“Maybe it’s just being young and naive, or maybe it’s being open to new ideas, but at that stage in my life I was open to the idea that chemistry might be completely different from what we had thought. I came up with some ideas of how to explain it that turned out to be right, remarkably,” she says.
The following year, a United Nations conference signed the Montreal Protocol, with all nations agreeing to phase out the use of CFCs and resulting in one of the most successful triumphs of international climate policy to date.
“The ozone story is a fantastic one, because it teaches us that we can actually develop international agreements and get all different kinds of countries, developed and developing, to agree to them and to solve problems together,” she says.
From 2002 to 2008, she co-led the production of the Intergovernmental Panel on Climate Change Fourth Assessment Report, synthesizing climate science knowledge and assessing effects and mitigation approaches to human-caused climate change. It was later recognized with a Nobel Peace Prize.
Solomon then went on to study the impacts of human-made carbon dioxide (CO2) emissions on the Earth’s climate. Her groundbreaking research showed that human emissions of CO2 were causing impacts on the climate that would be irreversible for 1,000 years, even after emissions stopped. In 2012 she joined the faculty of EAPS, where she has continued her work on studying the ozone layer. Recently, she has found the first quantitative proof that the ozone layer is on track to recover by around 2035.
“Most of the awards I’ve gotten previously have been very focused on the science that I did, but this one embraces the fact that my work has benefit for the planet’s sustainability,” she says. “People recognize that my work did something valuable. That is an incredible, humbling, and remarkable feeling.”
“Susan is a model of an engaged scientist,” says David McGee, the William R. Kenan, Jr. Professor of Earth and Planetary Sciences at MIT and EAPS department head. “From uncovering the mechanisms by which human activities affect the ozone layer to using that understanding to guide political action to, most recently, showing that our actions have produced measurable ozone recovery, her work and leadership have deeply impacted the field and the health of our society. Her mentoring and teaching have similarly impacted students and researchers across EAPS and MIT. This award is a wonderful celebration of her remarkable achievements.”
“Susan is a pioneer of atmospheric chemistry,” says Class of 1942 Professor of Chemistry and Department Head Matthew D. Shoulders. “Her groundbreaking research at the intersection of chemistry and environmental science is critically important, and it is wonderful to see her dedication, creativity, and scientific leadership recognized in this way.”
“I have been absolutely blessed by the students and colleagues that I’ve had over the years,” Solomon says, including collaborators Qiang Fu, Rolando Garcia, Douglas Kinnison, Ben Santer, and David Thompson, as well as MIT research scientists Kane Stone and Diane Ivy and former students, including Megan Lickley and Peidong Wang.
Founded in 2012 by the late Samuel Yin, the Tang Prize Foundation is a nongovernmental, nonprofit educational foundation. Nomination and selection of laureates is conducted by the Academia Sinica. Each award cycle, the academy convenes four autonomous selection committees, each consisting of an assembly of international experts, until a consensus on the recipients is reached. Recipients are chosen on the basis of the originality of their work along with their contributions to society, irrespective of nationality, ethnicity, gender, and political affiliation. Recipients in each Tang Prize category receive a total of approximately $1.6 million and a grant of approximately $320,000.
Solomon is the second MIT faculty member to receive the award after Feng Zhang, who won the award in Biopharmaceutical Science in 2016 for his role in developing the CRISPR-Cas9 gene-editing system.
Could AI tell you where you left your keys?A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.An auto factory worker can remember the storage bin where she left a partly assembled component the night before, and quickly return to that spot to pick it up. But robots that may work side-by-side with her would struggle to develop and access this same type of “spatiotemporal” memory.
Now, MIT researchers have developed a long-term memory framework that allows robots to rapidly form and recall a detailed mental model of complicated, large-scale environments.
In the future, this advance could allow the factory worker to send a robotic assistant to fetch the item, simply by asking it to “go and grab the component we started assembling last night.”
This new method combines advanced map representations with rich descriptions of the environment that the robot gathers as it travels over a long period of time. The robot can quickly access this memory to answer complex queries about its environment in plain language.
This memory framework, which answers questions more accurately than state-of-the-art methods, runs fast enough for a mobile robot to use in real-time.
In addition to its potential uses in robotics, this method could have applications in augmented reality systems that aid maintenance workers in anomaly detection or assist commuters in wayfinding.
“If we want robots to work side-by-side with humans and interact better with humans, they must speak the same language. The robot must be able to reason about time and space the same way humans do. That is essentially what our method is doing. It is turning a traditional map into a language-based map that is easier for the robot to think about and access using language,” says Luca Carlone, an associate professor in MIT’s Department of Aeronautics and Astronautics (AeroAstro), principal investigator in the Laboratory for Information and Decision Systems (LIDS), and director of the MIT SPARK Laboratory.
He is joined on the paper by lead author Nicolas Gorlo, an MIT graduate student; and Lukas Schmid, a former research scientist at MIT and now professor at the University of Technology Nuremberg in Germany. The research was recently presented at the Conference on Computer Vision and Pattern Recognition (CVPR).
Spatiotemporal memory
Memory allows an artificial intelligence system, like a chatbot, to answer complex questions and reason about previous interactions with its user.
“We want to design a new type of memory, a spatiotemporal memory, that enables an AI-powered robot to remember real interactions and sensor observations. Like ChatGPT, but grounded in the real world and capable of answering any question about the environment, like ‘Where did I leave my wallet?’” Carlone says.
To develop such a memory framework, the MIT researchers bridged two lines of work: computer vision and robotic mapping.
Multimodal computer vision models can understand and richly describe the objects in a scene, but they often only process a single annotation at a time. On the other hand, robotic mapping frameworks create 3D maps of an environment, like an entire apartment or university campus, but usually lack detailed descriptions of objects or are computationally expensive.
The method the MIT researchers created, called Describe Anything, Anywhere, Anytime, at Any Moment (DAAAM), takes the best of both approaches.
Using DAAAM, as a robot traverses its environment, it attaches rich descriptions to objects it sees. For instance, the robot may note that a particular building on the MIT campus is called the Stata Center and is designed with a certain type of architecture, or that a bike rack holds five bicycles and the red one has a flat tire.
It stores this detailed information in a 3D map-based representation that is arranged spatially, so objects will be grouped into separate regions. In this way, the robot can remember that the red bicycle with the flat tire is in the bike rack outside the Stata Center.
But existing techniques that capture such rich descriptions typically take a few seconds to annotate a few objects. This is too slow for real-time performance, since a robot might see hundreds of objects during a few minutes of exploration.
“The faster the robot can form this spatial memory, the more efficient it will be performing actions in the environment,” Carlone adds.
Streamlining the process
To speed things up, DAAAM aggregates nearby objects as it travels and uses an optimization method to select key frames to annotate. These are images with the clearest view of multiple objects, allowing the system to thoroughly describe several items in parallel, speeding up computation tenfold.
As the robot explores the space, it attaches each batch of annotations to multiple objects in a particular location on the 3D map.
“We annotate every object only once, so our framework can run in very large-scale environments in real time. And by clustering objects into regions, it can answer a wide range of queries about objects and locations in the environment,” Gorlo explains.
Once the system builds this spatial memory, it must retrieve information from an enormous database of objects and descriptions in an efficient manner.
To enable this, the researchers used an LLM that calls on various tools, which can quickly retrieve specific information in a way that reduces hallucinations. This allows DAAAM to answer a user query accurately in only a few seconds.
For instance, if one asks a robot about a certain sculpture it saw near an MIT campus building, DAAAM can use a semantic search tool to retrieve information based on the word “sculpture” or a different tool to retrieve information based on the location of the building.
When tested and compared with other methods, DAAAM was between 21 percent and 53 percent more accurate, depending on the question type.
In the future, the researchers want to expand DAAAM so the system can capture significant events that happened in the environment. They are also working to incorporate confidence levels into the system’s responses.
“Ultimately, we want to have robots that can help with any sort of tasks. With this framework, we are trying to create the foundations to enable a generalist agent that can do anything you ask,” Gorlo says.
This research was funded, in part, by the U.S. Army Research Laboratory and the Office of Naval Research. Carlone is currently on sabbatical as an Amazon Scholar; this article describes work performed at MIT and is not associated with Amazon.
How to create distinguishable states for quantum systemsResearchers establish key insights for reading and writing information for quantum sensing, communication, computing, and control.Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing, and control that have the promise of outperforming traditional systems. Creating stable, measurable, distinguishable quantum states, which would be the heart of any such system, is a daunting task.
Quantum states possess unique properties that can be exploited for developing novel information processing systems. Two key properties, stability and distinguishability, are hard to achieve, however. Extracting information from a quantum system depends on the distinguishability of quantum states, an intrinsic property associated with a property known as orthogonality. Nevertheless, no two Gaussian states (a widely studied class of quantum states) are orthogonal, and this yields an unavoidable error when attempting to distinguish them.
In addition, present quantum devices tend to remain stable only for a fraction of a second, and require complex protocols to distinguish states. Now, researchers at MIT and the University of Ferrara have found a new approach for creating easily distinguishable states that could help to enable the development of these new quantum-based devices.
The new approach is described in a paper published today in the journal Physical Review A, by Moe Z. Win and Peter L. Falb at MIT with Andrea Giani and Andrea Conti at the University of Ferrara. The team found a way of translating between quantum states of light and algebraic varieties (a mathematical structure from abstract algebra), making the analysis more manageable by reducing it to solvable mathematical equations.
“Quantum systems can provide performance that is significantly better than classical counterparts,” Win says, “but this doesn’t come for free.” To develop practical devices for producing and detecting different states, “one needs to carefully engineer the quantum states in which they encode information.”
Traditional computers typically use different voltages in a solid-state device to encode ones and zeros, while optical systems may use the presence or absence of a pulse of light. In quantum devices, the states might have to do with the spin state of a single atom, or the excitation level of a group of electrons.
Win adds that “we have been studying how to design distinguishable quantum states, which translates directly into improved performance for sensing and communication.” In the jargon of the field, they are improving the orthogonality — that is, the distinguishability — of different states.
The particular kinds of states studied in this theoretical analysis had to do with energy levels of photons, or particles of light. Giani explains that they used an operation called photon variation. This can take two forms: photon addition, in which photons are excited to a higher energy state, or photon subtraction, in which photons are annihilated (i.e., removed from the system). These operations change the quantum state from Gaussian to non-Gaussian states; it’s the non-Gaussian states that seem most useful, the team concluded.
“The domain of non-Gaussian states is quite big,” Giani says, “but among them, we are looking into non-Gaussian states that are easier to implement with current technologies, because if we want to make the transition to the quantum world, we need to take into account realistic experimental challenges.”
Unlike some kinds of cutting-edge technologies being studied for possible quantum applications, Giani explains, “these kinds of photon-varied states have already been produced in the laboratory, and there is much interest in this kind of operation.”
These types of states are relatively new, Conti says, and so “there was a need for a theoretical characterization for these states,” The theoretical characterization this team derived, based on underlying mathematical properties, makes it possible to design states with higher levels of distinguishability.
With this work, Win says, “we have a theory that gives us a blueprint to go design these non-Gaussian states, rather than just, ‘try this and that, and let’s hope they’re somewhat distinguishable.’ Our theory tells us exactly how to go about designing orthogonal non-Gaussian states.”
The findings result from the connection between the algebraic equations and the underlying physics, Win says, “That was the important connection between different disciplines — bringing algebraic geometry to the table.”
“The equations to be solved for determining the orthogonality” of the quantum states “happened to be polynomial equations,” Falb says. “It just happened that there was the appropriate mathematics to solve them.”
Now that the principles have been established through this work, implementation should be relatively straightforward, the researchers say. There already are some optical setups that can be used to implement these kinds of states.
“In principle,” Giani notes, “you can just put the parameters that you find by solving these equations directly into your physical apparatuses and produce these kinds of states. I don’t think this requires some more-advanced technology.”
Conti adds that “as soon as this paper is published, we hope that experimentalists can try these methods.”
But that’s just the beginning, Win emphasizes. “We are getting momentum, and it’s very exciting,” he says. “The approach that we are taking here is to ask more general questions than just, ‘here’s a particular setup, how do you tune it to get a performance gain?’ Rather, we’re looking at a class of signal design problems, and then finding keys that really unlock these, so that hopefully the answer will not just be applied to only one particular setup, but something significantly broader.”
A tiny ingestible sensor can measure temperature from inside the bodyAfter being swallowed, the devices could offer continuous monitoring of patients who are sick or at risk of hypothermia.In a hospital or at home, temperatures are usually taken using an oral or forehead thermometer, but these do not always accurately reflect the core body temperature. Measuring core temperature from within the body could make it easier to determine whether someone is sick, and whether they’re at risk of spiking a dangerous fever.
To make it more feasible to obtain core body temperature measurements, MIT engineers have developed an ingestible sensor that can send continuous temperature updates from the GI tract.
The sensor is shaped like a tiny blueberry, 6 millimeters in diameter and 4 millimeters in height. That makes it much smaller than existing ingestible temperature sensors, which are more difficult to swallow and pose a potential risk of obstructing the GI tract.
“A sensor like this gives us the ability to monitor infections and identify them early,” says Giovanni Traverso, an associate professor of mechanical engineering at MIT, a gastroenterologist at Brigham and Women’s Hospital, and an associate member of the Broad Institute of MIT and Harvard. “That’s very relevant, particularly for at-risk populations like people who are immunosuppressed from chemotherapy treatments or immunosuppressive drugs.”
Ingestible sensors could also enable more accurate temperature measurements for fertility tracking, and for monitoring people during anesthesia.
Traverso and Anantha Chandrakasan, MIT’s provost and the Vannevar Bush Professor of Electrical Engineering and Computer Science, are the senior authors of the new study. MIT postdoc Saransh Sharma is the lead author of the paper, which appears today in Nature Electronics.
Ingestible electronics
A handful of ingestible temperature sensors have become commercially available in recent years, but most are the size of a multivitamin or slightly larger, making them more challenging to swallow. Their size can also increase the risk of obstructing the GI tract.
Those capsules tend to be large due to the complex circuits they include, which require a great deal of power. That power is provided by relatively large, on-board batteries that make up much of the bulk of the capsule.
The MIT team wanted to design sensors that could measure temperature accurately, but at a much smaller size.
“The reason for them to be small is safety,” Traverso says. “We want something that is so small that the risk of any blockage or obstruction is highly mitigated, and also so that it can be easily ingested.”
To create a smaller device, the researchers set out to reduce the size of all of the main components — the temperature-sensing circuit, the antenna that relays temperature data, and the battery.
For the circuit, they created their own customized circuit that can fit onto a 1-square-millimeter silicon chip. To reduce the chip’s power consumption, the researchers designed an oscillator based on leakage current — the small current that flows through a circuit when it’s off. The frequency of this current varies depending on the temperature of the chip’s surroundings.
This circuit, which can detect temperature with an accuracy of 0.01 degrees Celsius, requires very little power — about 10 nanowatts. This means that it can be powered with a 1.55-volt coin cell battery, which is 4.8 millimeters in diameter and about 1.6 millimeter thick.
The new design further cuts energy consumption by using a communication strategy known as backscattering. This approach allows most of the power requirements to be outsourced to an external antenna that is located outside the body, within a foot or two of the sensor. The external antenna emits an ultra-high-frequency radio wave, which is then modulated by a tiny antenna within the sensor and sent back to the external antenna. By interpreting the changes in the radio wave, the external antenna can calculate the temperature value.
“We combined all of these different pieces together — the silicon chip, the battery, and the antenna — and we made it into an ingestible capsule, which is the smallest ingestible capsule that we have seen for temperature-sensing paradigms,” Sharma says.
The internal antenna sends out a temperature reading once every second, allowing for continuous monitoring of temperature.
Tiny thermometers
The researchers envision that this kind of sensor could be useful in several scenarios, including monitoring infection and observing patients during and after anesthesia. Anesthesia often disrupts the body’s normal temperature regulation mechanisms, which can put patients at risk of hypothermia.
This type of device could also be used at home, for monitoring fevers in children, or measuring core body temperature as a marker of ovulation, for fertility purposes. It could also be useful for monitoring athletes, soldiers, or anyone else who might be exposed to extreme temperatures.
To explore these possible uses, the researchers tested the sensors in animals while they were under anesthesia, and found that they could accurately detect and transmit temperature information. They also obtained accurate readings from animals that were awake and actively moving.
The researchers are now working on combining the temperature sensor with other sensors that could measure vital signs such as heart rate. They hope to begin testing these types of sensors in clinical trials within the next few years.
If proven effective for people in high-risk situations, Traverso believes such sensors could become widely used by anyone who needs to monitor their temperature.
“I think this could replace all thermometers, because it’s the most accurate way of taking temperature,” he says. “If we have miniature systems that can be easily swallowed and give very accurate data that’s superior to the current data, I think it can be helpful in so many ways.”
Other authors of the paper include Yubin Cai, Injoo Moon, Zhenming Yang, Peter Chai, Niora Fabian, Kailyn Schmidt, Alison Hayward, Andrew Pettinari, Maria Platero, Benedict Laidlaw, and Ashley Guevara.
The research was funded by the 711th Human Performance Wing, the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research Projects Agency for Health (ARPA-H), which notes that the views and conclusions contained in this article are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United States government.
Fact Sheet: Supporting MIT’s Jewish CommunityExamples of actions MIT has taken since 2023 to address concerns of antisemitism
Student discipline process improvements
Apart from individual student discipline cases as described above, MIT conducted a holistic review of its student discipline process, which resulted in a number of policy and procedure changes, including:
Over the last couple years, MIT has experienced a significant decline in the number of reports of student misconduct arising out of allegations of antisemitism or other forms of bias based on religion or ethnic/national origin.
Courts have dismissed lawsuits claiming antisemitism at MIT
As a result of MIT’s actions, including specifically some of those described above, federal courts have dismissed claims of antisemitic harassment and discrimination asserted against MIT under Title VI. In doing so, the courts have acknowledged the escalating steps MIT has taken to promote a safe, inclusive community for its Jewish community members. For example, in a unanimous decision by the First Circuit Court of Appeals holding that MIT satisfied its Title VI obligations, the Court noted:
Importantly, MIT took these steps to protect the MIT community even while the Court concluded that much of the campus protest activity at MIT amounted to legally protected expression and not a violation of Title VI:
2026 Quality of Life survey results
Jewish student sentiment has significantly improved and is now higher than the general MIT student population.
Below are data from the spring 2026 Quality of Life survey, a community-wide survey administered every two years to better understand the lives of faculty, staff, postdoctoral scholars, and students. The data reflect responses from those who selected “Judaism” as their religion, alone or in part (respondents were able to select more than one religion).
Overall, how satisfied are you being a student at MIT?
(Percentages are a sum of respondents who selected “very satisfied” + “somewhat satisfied”)
Jewish Undergraduates:
2024: 87%
2026: 97% (compared to 86% for all undergraduate students)
Jewish Graduate Students:
2024: 78%
2026: 94% (compared to 88% for all graduate students)
I feel that I belong at MIT.
(Percentages are a sum of respondents who selected “strongly agree” or “somewhat agree”)
Jewish Undergraduates
2024: 83%
2026: 92% (compared to 80% for all undergraduate students)
Jewish Graduate Students
2024: 70%
2026: 79% (compared to 79% for all graduate students)
Notably, not a single Jewish undergraduate respondent in 2026 disagreed with the statement “I feel that I belong at MIT.”
Other resources
MIT Hillel: https://hillel.mit.edu/
Chabad at MIT: https://www.chabadmit.org/
Technology Review: "Long Before Hillel, Jews Found a Home at MIT" https://www.technologyreview.com/2023/08/22/1076876/long-before-hillel-jews-found-a-home-at-mit/
MIT News: "MIT-Kalaniyot program expands, with new cohort of scholars" https://news.mit.edu/2026/mit-kalaniyot-program-expands-new-cohort-of-scholars-0701