The moment a nuclear reactor begins operation, a complex chain of events is initiated within the fuel: Heavy atoms split into fission products, knocking other atoms out of place and creating defects that can change how the fuel swells, transfers heat, and reacts chemically over time.
Understanding those processes is key to understanding how safe and efficient a nuclear reactor will be. But even for some of the most-studied fuel types, the mechanisms controlling those processes are unclear.
Such is the case with a particular kind of metallic fuel, uranium alloyed with 10 percent zirconium by weight, also known as U-10Zr. This fuel was extensively tested in historic sodium-cooled fast reactors such as the Experimental Breeder Reactor-II (EBR-II) in Idaho and the Fast Flux Testing Facility (FFTF) in Washington state, helping establish the foundation for metallic fuel development in the U.S. Today, U-10Zr is again attracting attention for use in next-generation advanced reactors.
But most studies of U-10Zr took place decades ago, leaving unanswered questions about exactly how the fuel changes when it undergoes nuclear fission in a reactor and how it interacts with the protective fuel cladding surrounding it.
Now, together with Idaho National Laboratory (INL), MIT researchers have led one of the most detailed three-dimensional studies of irradiated U-10Zr to date. The researchers used a technique known as high energy synchrotron X-ray computed tomography at Brookhaven National Laboratory (BNL) in New York to analyze the pore networks and chemical changes that formed under irradiation during use inside the FFTF reactor, providing new insights into how the material swells, transfers heat, and interacts with the fuel cladding.
The findings could help keep some nuclear reactors running for longer, while also informing the next generation of nuclear reactor fuel systems.
“This study helps us model the pore distribution in the fuel more accurately,” says senior author Ericmoore Jossou, MIT’s John Clark Hardwick (1986) Professor of Nuclear Science and Engineering. “It also helps us design for the safe operation of metallic fuels in reactors by giving us a better understanding of the role of pores and their importance.”
Joining Jossou on the paper are first author and MIT postdoc Anthony Harrup; Riley Moeykens ’25, SM ’25; BNL researchers Michael Drakopoulos and Nghia Vo; and INL researchers Jana Howard, Colby Jensen, and Tiankai Yao.
Understanding nuclear fuel
A class of nuclear reactors known as sodium-cooled fast reactors generate energy from rods of metallic fuels that are sealed inside metal tubes called cladding. In each rod, heat generally moves outward from the center to the edge and then to the cladding, where liquid sodium carries heat away to be harvested into power.
“As you operate the reactor, the contact between the fuel and the cladding material creates chemical interactions that can be problematic,” explains Jossou. “There is a migration of materials from the fuel to the cladding, like fission gases and rare earth elements called lanthanides, which can react with the cladding, cause embrittlement, and damage the fuel system.”
Studies of previously irradiated fuel and its cladding have captured mostly two-dimensional snapshots, preventing scientists from seeing the full scale of the pore networks that influence heat transfer and transport materials like lanthanides. Previous studies also mainly focused on specific sections of the fuel system, such as the fuel center or the fuel cladding interface.
For their study, the MIT researchers used fuel samples from the Fast Flux Testing Facility reactor, a sodium-cooled fast neutron reactor located in Washington state that operated from 1982 to 1992.
The Idaho National Lab managed the samples and prepared the samples. The team studied the prepared samples using high-energy synchrotron X-ray tomography at the Brookhaven National Laboratory. The synchrotron generated high-energy X-rays that allowed the researchers to reconstruct the fuel’s internal pore networks in three dimensions, revealing how porosity, chemistry, and fuel-cladding interactions evolve across the fuel radius.
The researchers found porosity increased modestly from the center of the fuel toward the fuel edge, but pore density jumped by over two orders of magnitude at the fuel’s edge by the cladding. The researchers also characterized the size and shape of pores, finding small pores at the center that turn into larger pore networks pointing outward toward the edge.
“The pores are currently modeled as spheres; however, in reality they are more complex, especially when many pores merged together,” Harrup says. “That’s true from the center all the way to the cladding. It explains why the cladding reacts the way it does, and why we see cladding chemicals in the fuel.”
The pore networks toward the edge allow fission products and lanthanides to move but slow down heat transport, impacting the fuel’s performance and lifetime. The researchers also mapped their microstructural findings with changes in the chemistry of the fuel in different areas.
“With this study, we’ve conducted an in-depth analysis enabled by advanced computational imaging methods that has never been done before, with correlations between local chemical environments and the formation of pores,” Harrup says. “It turns out that whether the environment is uranium rich or zirconium rich impacts the morphology and the channels of the pores. That has never been reported before.”
“The ability to directly visualize pore connectivity and fuel cladding interaction in three dimensions gives us important insight for improving fuel performance for advanced metallic fuel for sodium fast reactors,” says Tiankai Yao of INL.
Informing reactor designs
The experimental findings differed from some models of how pores form and how the fuel system swells, which could improve simulations to help keep reactors running for longer. They also give a more nuanced picture of how pores influence reactor performance and safety.
“This helps optimize the current metallic fuel proposed for sodium fast reactors,” Jossou says. “Now, together with INL, we better understand how pores are influencing the thermal performance of metallic fuel in reactors. At high temperature, the pores are not all bad, because we found they act as pathways for liquid sodium metal to flow through the fuel and sustain thermal conductivity. Connected pores could also serve as releasing channels for fission gases which reduce the internal fuel matrix stress.”
The findings could also be used to design better fuel systems for next generation of sodium fast reactors.
“This excellent piece of work generated by Professor Jossou’s group in collaboration with INL and BNL has elegantly combined the strength of attenuation-based X-ray tomography and focused ion beam lift-outs and produced valuable insights to the location-specific 3D porosity distribution in neutron-irradiated U-10Zr fuel,” says Dong Liu, a professor at Oxford University who was not associated with this work. “What is also impressive is that they correlated 3D porosity to the thermal properties of the fuels: The total volume fraction is not the only parameter that is important, the 3D topology also matters. This is extremely informative for the study of other types of porous nuclear materials.”
The work was supported by the U.S. Department of Energy Office of Nuclear Energy and utilized resources at BNL and INL. The sample preparation was carried out at INL, which is part of the Nuclear Science User Facilities, through a Rapid Turnaround Award.
Featured video: An “MIT story” about an iconic professorA new short film from MIT Open Learning explores the influential career of Institute Professor and School of Engineering Dean Paula Hammond.A new short film spotlights the life and career of MIT Institute Professor and School of Engineering Dean Paula Hammond ’84, PhD ’93.
The documentary, “Full Circle: Paula Hammond at MIT,” traces Hammond’s path from childhood in Detroit, Michigan, to her arrival at MIT at 16 years old, to her evolution into a pioneering researcher in nanotechnology and ovarian cancer, as well as a leader at the Institute and around the globe.
The film is one of the debut offerings within “MIT Stories,” a new documentary series on MIT Learn that spotlights the innovators and changemakers whose work extends far beyond campus walls. Produced through intimate storytelling by MIT Open Learning’s Emmy Award-winning video team, the series aims to explore the passions that spark global impact and the human stories behind innovation.
“Everything Paula Hammond does is grounded in a deeply personal sense of purpose,” says Lana Scott, assistant media development director at MIT Open Learning who produced the film with Nick Vandenberg. “As a pioneering researcher and the first woman to lead MIT’s School of Engineering, she didn’t just break barriers, she changed what leadership can look like in a field that hasn’t always made space for people like her. Her story blends curiosity, care, and conviction, turning complex science into something human, relatable, and genuinely cinematic.”
The film’s original score was composed by Vandenberg, who was inspired by a musician Hammond has long cherished.
“Before our second interview, Paula and I spoke about our shared love of jazz, including artists like Charlie Parker and Miles Davis,” says Vandenberg, a videographer and senior editor at MIT Open Learning. “She mentioned Ramsey Lewis as a particular favorite of hers. So, as a little Easter egg for her, I wrote and recorded a composition with upright bass, drums, and organ based loosely on the sound of his early trio recordings.”
Video by Lana Scott and Nick Vandenberg / MIT Open Learning | 8 minutes, 40 seconds
MIT selected to lead new NSF materials research centerThe Materials Research Science and Engineering Center unites researchers across disciplines to develop technologies for medical imaging, sustainable metals production, and next-generation electronics.The National Science Foundation (NSF) has selected MIT to establish and lead a new Materials Research Science and Engineering Center (MRSEC) focused on materials technologies for medical imaging, sustainable metals production, and next-generation semiconductors, according to an NSF announcement released July 30.
Expected to provide $18 million in research funding over six years, the award brings together 16 research groups from nine departments across four institutions, including five MIT departments, three collaborating universities, and a teaching hospital. The award is pending MIT’s negotiation of a formal research agreement with the NSF.
The MIT Materials Research Science and Engineering Center will be directed by Associate Professor Rafael Jaramillo of the Department of Materials Science and Engineering (DMSE), with Professor Caroline Ross of DMSE serving as associate director. The center will be housed administratively within the MIT Materials Research Laboratory.
The center will have two main research thrusts. One will engineer specialized materials to advance X-ray detectors used in medical imaging, potentially leading to better cancer diagnosis, lower radiation exposure, and improved industrial and security imaging. The other will explore high-temperature sulfur-based molten materials to transform how metals and semiconductors are made, opening a path to more efficient metal production, improved access to critical materials, and new thin-film semiconductor technologies.
The expected funding will also support a new shared laboratory for testing magnetic materials and materials under extreme conditions, managed by MIT.nano. This facility will be available to academic and industry users, expanding the nationwide portfolio of NSF-supported research facilities.
“The long-term goal is for the broader materials and engineering community to see the disruptive potential of bringing researchers together across disciplines to solve complex challenges,” says Jaramillo, the Stavros V. Salapatas Career Development Professor of Materials Science and Engineering. “And that includes specifically in medical diagnostics and metals production, where entirely new things will be possible that aren’t considered possible today.”
A legacy of collaboration
The selection of MIT’s MRSEC is part of a $108 million NSF investment in six research centers that will explore a range of topics, including artificial intelligence-driven experimental laboratories and hybrid quantum materials that combine light and matter. NSF’s MRSEC program brings together interdisciplinary teams of researchers to push the boundaries of materials science and engineering and tackle complex scientific challenges.
The MIT center builds on nearly 60 years of interdisciplinary materials research at the Institute, extending a legacy that began with U.S. Department of Defense-supported laboratories in the 1960s and continued through NSF-funded centers in subsequent decades. Past MRSEC investments helped build research communities that enabled MIT centers of excellence such as the MIT Microphotonics Center and the Microsystems Technology Laboratories.
“We were inspired to continue that legacy of collaborative research in materials science,” Jaramillo says. “It’s mainly the mode of working — the mode of working in a very intentional way as a team across disciplinary boundaries and having this program that brings people together.”
MIT departments involved in the MRSEC include DMSE; Chemistry; Chemical Engineering; Earth, Atmospheric and Planetary Sciences (EAPS); and Physics. Collaborating institutions identified in the MRSEC proposal are Yale University, the University of California at Santa Barbara, and the Department of Radiology at Massachusetts General Hospital and Harvard Medical School.
The first research group will focus on re-engineering scintillators — materials that convert X-rays into visible light — at the nanoscale, with the goal of improving resolution, speed, and energy sensitivity.
“My vision for that is really Marin and JJ’s vision. So I'm basically cheerleading for them,” Jaramillo says, referring to optical materials experts Professor Marin Soljačić of Physics and Professor Juejun Hu of DMSE, who are expected to lead the effort.
The second group is closer to Jaramillo’s own research in semiconductor and advanced electronic materials. It seeks to develop a deeper understanding of high-temperature sulfur-based liquids to improve the yield and efficiency of producing critical metals such as copper. Expertise in these types of materials has become increasingly rare in U.S. academia, Jaramillo says, and one goal of the center is to rebuild that capability at MIT. “I’m very excited about that being a new intellectual center of gravity.”
Telling stories about materials
Beyond research, the center is also expected to develop outreach activities highlighting the importance of materials science in society, particularly in the Boston region, where Jaramillo said industries need more workers with backgrounds in materials processing.
“For example, our community colleges don’t offer it,” Jaramillo says. “If you were looking at a community college in Michigan, everyone would know what materials science is.”
One initiative, DISASTER! — “with all caps and an exclamation mark,” Jaramillo says — will tell stories of real-world catastrophes and the materials failures that contributed to them.
A major part of materials science over the last century has been understanding why things fail, Jaramillo says. “It’s also a tremendous foot in the door for introducing the field. Because frankly, ‘if it bleeds, it leads.’ If you have giant disasters, then suddenly people are like, ‘Why did the bridge fail?’”
The program will encourage MIT undergraduates to research and tell these stories, illustrating how forensic materials science has helped prevent future failures.
Among the examples Jaramillo cited are the rivets used to assemble the RMS Titanic, whose impurities made the rivets more brittle in the freezing North Atlantic, and the crashes of the world’s first commercial jetliner, the de Havilland Comet, which revealed the dangers of metal fatigue.
“There are so many other stories that need to be told around how a material failed,” Jaramillo said. “It really cost people money and time and lives. And then through forensic materials science, we understood why it failed and we avoided future failures.”
The MRSEC team is planning to stage public outreach events at the MIT Future Fest.
Looking ahead six years, Jaramillo hopes the center will have become a self-sustaining hub for materials research.
“I hope that we will have rebuilt the muscle memory to come together in an interdisciplinary way around materials science, and that it should have a bit of a self-sustaining element to it. I hope that we then compete successfully for the next center, and lay the groundwork for the next 60 years.”
MIT Research Administration Services supported the MRSEC proposal development through its Research Development team, which specializes in providing substantive assistance for large and complex research proposals, and in supporting early-career faculty.
MIT faculty expected to be involved in the MRSEC are Rafael Jaramillo, Caroline Ross, Juejun Hu, and Antoine Allanore of DMSE; Moungi Bawendi of Chemistry; Martin Bazant of Chemical Engineering; Nicole Nie and Shuhei Ono of EAPS; and Marin Soljačić, Riccardo Comin, Nuh Gedik, and Long Ju of Physics.
Astronomers discover a brand-new type of astrophysical object: A black hole starThe mashup of a black hole and an enormous star has never been seen before and could explain the mysterious little red dots often found in deep-space images.Astronomers at MIT and elsewhere have spotted an extremely bright red spot in the early universe. The object resembles an enormous star, spanning the size of our solar system. But it also is putting out 100 billion times more energy than any known star can physically produce. In fact, such energies are closer to what a black hole might generate.
The curious combination suggests that the red spot is an entirely new type of astrophysical source. The astronomers are calling it a “black hole star.”
In a paper appearing today in the journal Nature, the team presents their analysis of the new object, which they discovered using NASA’s James Webb Space Telescope (JWST). The telescope spotted the bright red dot in the very early universe, just a few hundred million years after the Big Bang.
The scientists conclude that the most likely explanation for the strange red dot is that it is a mashup of a black hole and a star — a combination that has never been observed until now. The object is likely a hugely dense cloud of gas, powered not by standard nuclear fusion, but by a central black hole.
“Our picture of this object is evolving very rapidly,” says lead author Rohan Naidu, a NASA Hubble Fellow and Pappalardo Fellow at MIT’s Kavli Institute for Astrophysics and Space Research (MKI). “We think there is a central black hole that is 100,000 times as massive as the sun. And around this black hole, there would be this very extended envelope of gas that looks like a star the size of the solar system. It’s huge.”
If the bright red dot is indeed a black hole star, it would help to solve the identity of other mysterious “little red dots” that have appeared in nearly every deep space image JWST has taken to date.
“These little red dots seem to be everywhere in the early universe but essentially disappear by the present day,” Naidu says. “What exactly these objects are has been one of the most debated topics of the JWST era.”
The study’s MIT co-authors are MKI Director Robert Simcoe, the Bruno B. Rossi Professor of Experimental Physics; and Wendy Sun ’26, along with collaborators from multiple other institutions.
A singular source
Naidu and his colleagues didn’t intend to find a black hole star. They were looking for the most distant, earliest galaxies, as part of a survey that they named “Mirage or Miracle” (MoM). The team used the JWST to look into deep space, back when the universe was a few hundred million years old. Their goal was to look for galaxies that actually formed at those early times.
“There’s been this puzzle of many bright galaxies showing up at extremely early times,” Naidu says. “What we found was that what looks like an extremely bright early galaxy, aka a ‘miracle,’ in some cases actually could be a ‘mirage.’”
As they looked through JWST’s images for intriguing sources to target with their survey, they noticed a feature that stood out from the rest: a dot that was very red, and very bright.
“When we see something very red in the universe, we often assume that it is surrounded by dust, like soot or ash,” Simcoe explains. “The same way that the wildfire smoke from Canada recently made the sky in Boston look bright red, astronomical objects can also appear redder than their intrinsic color when you see them through a veil of dust.”
But there were other signatures in the light that didn’t quite match up with what physicists expect from dust. The team also observed another strange pattern: The dot’s light was extremely bright, except below certain wavelengths, where the light completely disappeared.
This spectral drop-off is known as a “Balmer break” — a signature traditionally associated with dense gas soaking up photons in the atmospheres of stars that are a few hundred millions of years old. Vega, one of the brightest stars in the night sky shows exactly this pattern.
“The break we observed in this object is the deepest break we have ever observed in any object, ruling out ‘ordinary’ stars as the source,” Naidu says. “But it made us wonder if we were seeing a new kind of ‘stellar atmosphere,’ but on a spectacular scale.”
What’s more, the red dot’s light contained almost no signature of metals or any elements other than hydrogen and helium. “It was truly singular in so many ways,” Naidu says.
Pure light
To puzzle out what the source of the red dot could be, the team ran simulations of different scenarios to see what combination of astrophysical features could produce the red dot’s distinctive color.
“We started to ask: Could you make something that red using just hydrogen, without any dust?” Simcoe says. “To our surprise, it turns out you can, if you have an extremely dense screen of hydrogen, so dense that it looks more like the surface of an enormous star than a wispy interstellar nebula.”
Their simulations pointed to the red dot possibly being some powerful enshrouded energy source, surrounded by an extremely dense cocoon of hydrogen. If this were the case, it would explain the light-blocking Balmer break and the lack of anything other than hydrogen and helium that the astronomers observed. But it still wouldn’t explain the object’s extreme brightness.
“You have something that looks a bit like a star but is 100 billion times brighter,” Naidu says. “That means you can’t be powering this by nuclear fusion, which is the energy source that sits at the heart of all the stars we have.”
Black holes, however, routinely produce energy at the scales the team observed. Naidu and his colleagues incorporated an active, accreting black hole into their simulations of the hydrogen-cocooned star and varied the black hole’s mass, along with other parameters. They then compared the resulting brightness of the simulated “black hole star” with the brightness that JWST observed from the red dot.
From these simulations, they found the closest match, and concluded that the most likely scenario to explain the red dot, is a black hole star. Specifically, the object likely contains a central black hole that is about 100,000 times as massive as the sun. This powerful core is surrounded by a dense, star-like cocoon of hydrogen that is roughly the size of the solar system.
The team has named the object MoM-BH*-1, after the survey that detected it, as well as the moniker “black hole star – one,” which implies that the object is the first of others. The researchers suspect that black hole stars could explain many of the other little red dots that appear in JWST images. Those objects are not as bright as MoM-BH*-1.
“Every little red dot is consistent with being a black hole star, embedded in a generic early galaxy,” Naidu says. “But what is special about MoM-BH*-1 is, the black hole star is essentially completely outshining its surrounding host galaxy, such that we’re seeing pure black hole star light.”
This research was supported, in part, by the MIT Department of Physics, NASA, and the Space Telescope Science Institute.
Met Warehouse opens as the new home of MIT’s School of Architecture and PlanningIn a feat of adaptive reuse, a massive, century-old brick storage facility has been turned into a contemporary hub for collaboration and creative work.It is a transformation for the ages: The Metropolitan Storage Warehouse in Cambridge, Massachusetts, is opening as the new home of MIT’s School of Architecture and Planning, after a makeover turning the century-old storage facility into a light-infused center for teaching, research, and public engagement.
The massive structure is a unique addition to daily life at the Institute. A hulking brick building and local landmark over 500 feet long and five stories high, the Met Warehouse now stands as a remarkable feat of architecture, engineering, and “adaptive reuse.” It includes four segments of glass walls, double-height studio spaces, copious common areas, and building-long walkways overlooking the work areas on all five floors — a 21st-century variation on the Infinite Corridor in MIT’s main group buildings.
Designed by the architecture studio Diller Scofidio + Renfro (DS+R), the Met Warehouse is intended to serve as a new campus hub. Beyond work studios, offices, and classrooms, there is an auditorium, galleries, and common spaces where MIT scholars and students can learn and design together, and the public can engage in lectures, exhibitions, and other programming.
“Walking through the Met Warehouse, everywhere you look you see the artful melding of the original architecture with the new design. It’s a perfect expression of the historical importance of architecture at MIT and of the creative promise of this new hub,” says MIT President Sally Kornbluth. “The new Met Warehouse will create a central home for design at MIT, and together with the new Linde Music Building, the presence of the Met will create a magnetic new west campus district for arts and design.”
Faculty, staff, and students have started moving into the Met Warehouse this month. The School of Architecture and Planning will stage a ceremonial procession into the building on Sept. 8, with a formal dedication event on Oct. 1, and a day welcoming the general public on Oct. 3 as part of MIT Future Fest.
The Met Warehouse’s conversion began in the late 2010s, championed by Hashim Sarkis, the dean of MIT’s School of Architecture and Planning, and his collaborators. They envisioned a new and dedicated space for architecture, design, and planning at MIT — while reusing an existing structure for that purpose.
“I think it sends a very good message that this vanguard school of architecture, at the Massachusetts Institute of Technology, is moving into a historic building and adapting it for the future,” says Sarkis, the Elizabeth and James Killian 1926 Professor. “This is a big statement on the part of MIT.”
Sarkis adds: “We’re expecting the Met to facilitate a very vibrant in-person culture. The vitality of interpersonal connection will be highlighted in the building. The faculty and the students wanted more research space, more space for exhibitions and galleries, and more spaces that enable what we do best, which is to work together. Design is about collaboration, and planning is about community.”
From fortress to studio
First opened in 1894 and completed in 1923, the building known as the Metropolitan Storage Warehouse long stood as a forbidding, fortress-like facility, with some tiny window slits. Only a few people had reason to venture inside. Visible from across the river in Boston, the Met Warehouse was a landmark, an advertisement of services, and a curiosity. It had about 1,500 storage spaces inside, and few other uses.
MIT acquired the building in 1962, and by 2015 it was no longer used for storage. That raised a question: What comes next? Over time, the idea of moving the School of Architecture and Planning into the Met Warehouse took hold. That left the hard work of designing and transforming the building into a place that people could inhabit, while respecting the historically designated façade’s monolithic qualities.
To create such a thoroughgoing transformation, MIT engaged DS+R, known for the design of high-profile cultural and institutional projects, including the Broad Museum in Los Angeles; the Institute of Contemporary Art in Boston; the Shed, a nonprofit cultural and performing-arts space in New York City; and, not least, the transformation of a postindustrial rail line into New York City’s High Line. Shawmut Design and Construction managed the renovation, and the entire endeavor was made possible by the generous philanthropic support of MIT alumni, volunteers, and friends.
Significantly, some of the signature projects of DS+R, including the High Line and the renovation of Alice Tully Hall at Lincoln Center in New York, involved updating and adaptively reusing existing structures. For the Met Warehouse, this meant a revamping of the interior, creating new workspaces, new ways to help people circulate through the massive building, and new ways to bring light inside the structure. In addition to the glass wall segments, the architects expanded the building’s windows, added a connective staircase, and found additional ways to let light and air permeate throughout.
“Our thinking was always around trying to bring communities on campus together, knowing there would be a convergence of labs, classrooms, resource spaces, and disciplines,” says Elizabeth Diller, founding partner at DS+R. “The big challenge from the start of the project was the building itself. The building is stubborn and big and heavy, and it was conceived to hold furniture and suitcases and pianos, not humans.”
When thinking through the project, Diller adds, “The first thing was assessing the building itself and its potential, and our ability to perforate it [allowing light] and to create new spaces inside of it. … We saw the potential, because of the structure, that it could endure some surgery.”
“The choice by MIT and Hashim Sarkis to adaptively reuse a building as a center for design represents a bold vision,” says Benjamin Gilmartin, partner at DS+R. “It’s a courageous idea: that the future of design and architecture very much lives in the reuse of structures we already have.”
MIT campus leaders say they are delighted with the outcome.
“The way the building is structured, the architects, Liz Diller, Ben Gilmartin, and their team, have been unbelievably shrewd in understanding our culture and respecting it while transforming the building,” Sarkis says. “That transformation enables the things we want, which include collaborative work, while also combining instruction and research.”
The makeover of the building also represents a collaboration between the City of Cambridge and MIT. Because the Metropolitan Storage Warehouse is a historically listed building, the city had to approve the substantial exterior renovations — such as on the north side, where several glass walls now cascade from the top of the Met to ground level. On the south side, the architects preserved many of the small storage units, redesigning them as offices with an innovative “skin” of new windows.
“That was one of the big decisions, based on light and the sensitivities of the history, that the large studios would be facing the north, and extracted from the north side of the building,” Diller explains. “Which left a lot of peripheral areas to act as small-scale and more intimate spaces, offices, and other types of spaces as needed.”
Indeed, the architects emphasize, the redesign of the Met Warehouse is not simply an overhaul; the plan significantly reflects the longtime interior structure of the building, too.
“It wasn’t just about converting the shell,” Gilmartin says. “It was about trying to find a balance and determining how much was already there [structurally] that we could use as a fabric.”
That historical fabric is evident through one of the building’s signature features: The old brick structure in key places is exposed to view, next to many places where the architects made dramatic cuts to create platforms for light-filled studio spaces. Students, designers, and visitors can see both how the old Met Warehouse was built and how the new version of it was created.
“The building itself can be a teaching tool,” Diller says. “When we did those extractions from the building, we left our intervention exposed, so there’s a kind of conversation between a contemporary strategy and the historical building. The traces are all there; they’re all revealed.”
Educators at the Institute view the building in a similar manner as they think about architectural teaching broadly.
“Our move to the Met is an exciting physical transition for the school, and an occasion for us to articulate the shifts in architectural education we have been undertaking,” says Ana Miljački, the Francis White Davis Professor at MIT and head of the Department of Architecture. “Making our home in the building will be part of our rethinking of the discipline, the profession, and our pedagogical tasks.”
Five stories, five blocks, one vision
As originally constructed, the Met Warehouse had five contiguous segments. Given that it is also five stories high, the building has 25 natural segments, in a sense. A wide range of activity will be housed inside it, including several core parts of the School of Architecture and Planning: the Department of Architecture, the Department of Urban Studies and Planning (DUSP), and the Norman B. Leventhal Center for Advanced Urbanism. (The MIT Media Lab, the Art, Culture, and Technology Program, and the Center for Real Estate, all part of the School of Architecture and Planning, will remain in their existing locations on campus.)
The MIT Morningside Academy for Design (MAD), a campus-wide center promoting interdisciplinary design work, will also be located in the Met Warehouse, helping to further establish the building as the essential hub of design and planning work on campus.
Many MIT scholars say they welcome the opportunity to bring so many related programs into greater proximity with each other, along with all the physical assets the Met Warehouse will provide.
“At MIT we have fewer boundaries, less conventions, and we bump into each other on campus,” says Jinhua Zhao, the Class of 1941 Professor and head of DUSP. “I have always appreciated this spirit since I first came here as a student and walked along the Infinite Corridor. A lot of places value interdisciplinary research. At MIT, you can’t help it happening. I believe the new Met Warehouse will expand that custom.”
Those who saw the inside of the building in its old days as a storage space, and are moving into it now, are deeply impressed by the complete readaptation of the Met Warehouse and the provision of new “commons” spaces for the campus.
“It’s almost inconceivable that this brick box, which was not designed for human habitation but to store objects, has been opened up, through the work of Diller Scofidio + Renfro,” says John Ochsendorf, the Class of 1942 Professor and director of MAD. “Our hope is you will find vibrant cross-fertilization across disciplines, across the School of Architecture and Planning, but also across all of MIT. That’s really important.”
Indeed, as Ochsendorf and others have noted, the building figures to produce its own urban dynamics within its monumental walls.
“As you go up into the building, you will find different neighborhoods concerned with different aspects of design,” Ochsendorf says. “These are all areas pushing frontiers in research and education and design of the built environment, which interact with so many of the pressing issues facing humanity. We’re excited to create new neighborhoods of inquiry with the building.”
That is certainly part of the intention, the architects say.
“There are a lot of opportunities for smaller groupings of people to be organized in ways that are visible and connected to the larger shared spaces but also offer the prospect of retreat in different places to work,” Gilmartin observes.
“The challenges facing cities cannot be addressed by any one discipline,” says Sarah Williams, director of the Norman B. Leventhal Center for Advanced Urbanism. “Innovation comes from bringing together all the fields that shape — and are shaped by — the built environment. The Met Warehouse gives us a place to work across those boundaries, inspiring new ways to imagine and build the future of our cities.”
Sarkis, for his part, professes some happy relief that the long-held conception of the Met Warehouse is finally becoming reality. The building, he thinks, will influence the flow of people through MIT’s campus, bringing a transformative multiuse space into the daily lives of students, faculty, staff, and the public.
“It is going to be a new center of gravity for the campus,” Sarkis says.
MIT News will offer a further look at the Met Warehouse’s transformative architecture in concert with the Sept. 8 procession, as well as coverage of events from the formal dedication weekend in October.
How to design a space habitat that supports its residents’ mental healthA new online platform helps engineers look beyond survival mode when designing habitats for extreme living conditions.In extreme environments, habitats are built for survival. Submarines, Antarctic bases, and postdisaster dwellings are designed to prioritize health and safety. This is especially the case for habitats in space, where room is at a minimum, contact with Earth is remote, and hazards are numerous.
But as humans plan for longer journeys to the moon and eventually Mars, designing habitats where crews can not only survive but also thrive will be essential to a mission’s success.
Now, engineers at MIT and elsewhere are exploring ways that habitats in extreme environments can support a person’s mental, emotional, and social wellbeing. They have assembled a resource that relates habitat design features with behavioral health outcomes such as stress, anxiety, and feelings of isolation.
Going a step further, the team has visualized these relationships in the form of an interactive online platform. Users can click through to explore connections between design and behavior, such as how a habitat’s layout affects social connection and team cohesion, and how a reconfigurable space can minimize homesickness.
“The awareness has been there for some time that living in space is difficult,” says Mich Lin, a PhD candidate in the Human Systems Lab and the Engineering Systems Lab at MIT. “We’ve come a long way from the human in a tin can. As our priorities shift toward long-duration exploration missions, making sure a crew is safe, healthy, happy, and productive becomes even more important.”
The insights that Lin’s team presents, which appear today in the journal npj Microgravity, were assembled after an extensive literature search and expert interviews. They identified many studies on habitat design and its influence on specific behaviors, such as how levels of lighting affect an astronaut’s quality of sleep. But this is the first time that anyone has brought such information together, visualizing the relationships and risks associated with a habitat’s design and an inhabitant’s wellbeing.
Lin notes that the work can be applied to designing habitats in not only space but also other extreme, isolated, and confined environments.
“Submarines, oil rigs, polar expeditions, and even refugee camps or war zones are incredibly stressful environments,” says Lin, who is the study’s lead author. “We try to make this work applicable to a lot of scenarios and identify points of intervention in habitat design to reduce stress in those extreme environments.”
The study’s co-authors include former MIT undergraduate Lu Chen and Professor Katya Arquilla of the University of Colorado at Boulder. Other key contributors to the work include Lauren Blackwell Landon at KBR/NASA, Jeffrey Montes of the space architecture firm Different Systems, and MIT undergraduate Kara Chou.
Emotional design
The researchers modeled their new design tool after a risk mapping format used by NASA. When designing a spacecraft or habitat for astronauts in space, the agency maps out the associated risks in the form of “directed acyclic graphs.” A DAG resembles a large web of relationships that illustrate how certain habitat or mission features can affect certain mission-relevant outcomes.
A typical NASA DAG depicts one-way connections between mission constraints, such as “distance from Earth,” to an astronaut’s physical health outcome, such as quality of sleep, cardiovascular impacts, cognitive function, and so forth.
“By mapping risks, we can identify points of intervention to characterize and mitigate them,” Lin explains. “NASA uses DAGs as a countermeasure to the risky business that is human spaceflight.”
The researchers looked to create a similar DAG format to map risks associated with habitat design, and less tangible behavioral health outcomes, such as stress, boredom, trust, nostalgia, curiosity, and kinship with crewmates.
“The connection between habitat and behavioral health has not been made in this format before,” Lin emphasizes. “So we made those connections for the first time.”
To do so, the team first identified habitat design factors and behavioral health outcomes that would be specifically relevant for living in extreme environments. The researchers looked to multiple resources across aerospace and human factors fields. To prioritize a human-centered perspective, they referenced the “Atlas of the Heart,” written by author, social work researcher, and University of Houston Professor Brené Brown. In the book, Brown identifies 87 emotions and experiences that define what makes us human.
“From there, we did a down-selection of which emotions would be the most impactful in our scenario of habitat design in extreme environments,” Lin explains.
The team zeroed in on 14 main emotions or experiences that they considered behavioral outcomes that could be influenced by habitats in extreme environments. These include anxiety, autonomy, nostalgia, curiosity, fatigue, and kinship.
They then carried out a wide-ranging search through the scientific literature to identify studies relating to habitability in extreme environments. For instance, NASA has carried out extensive research on the effects of lighting on sleep, the resetting of circadian rhythms, and productivity. Other studies have investigated circulation and habitat layout and their effects on privacy, social connection, and crew performance.
Lin and their colleagues assembled connections and conclusions from numerous studies to create a DAG, or a web of habitat design features, and their downstream effects on aspects of mental, emotional, and social wellbeing. They also solicited feedback from experts across industry, academia, and NASA to evaluate and strengthen the DAG.
They then developed an online platform, dubbed the Human-Environment Connection and Interaction Atlas, or HECIA, as an interactive tool for habitat designers.
Click and connect
When using the atlas, the team envisions that designers can take either a forward or backward approach. The atlas lays out habitat design elements, and their downstream behavioral connections, in roughly the order in which decisions are made in designing a mission.
For instance, in designing a spacecraft to journey to Mars, a designer might take a forward approach, and first click on a feature associated with an early design stage, such as “distance from Earth,” knowing that this would be a significant consideration. The atlas would automatically display risks associated with being far from Earth, such as limits to resources such as “food,” “medical capability,” and “family and friends,” and to behavioral health outcomes such as “nostalgia/homesickness.”
A designer could then take a backward approach. If, for instance, they want to prioritize minimizing nostalgia/homesickness, they could click on the term to reveal design features and ideas that affect and could potentially improve it, such as in this case, “place attachment,” or feeling emotionally attached to a place. Clicking on this term would in turn reveal upstream elements such as “reconfigurability” and “privacy” — design elements that could be put in place to encourate place attachment, and reduce homesickness.
For every term that a designer clicks on, Lin and their colleagues provide a summary, based on empirical research, that explains both the term in the context of extreme habitats, and provides examples of design interventions. For instance, a designer who is looking for ideas to minimize social isolation on long-duration missions may click on the term, to reveal a description.
“They may read that research has found ‘access paths, stairs, entrances, contribute to the formation of friendships and social cohesion,’” Lin offers. “So that would give them an idea of connecting public spaces in the habitat, via the private spaces, so people have to mingle, essentially.”
They emphasize that the new platform and the ideas informing it are not a one-size-fits-all for how to design any extreme habitat. That depends on a particular habitat’s specifications and constraints.
“Rather, this helps you think about connections that might be important, but that aren’t immediately obvious,” Lin says. “As we envision truly becoming an off-planet species, or creating places we want to live in in space, there is so much potential for us to reimagine habitats that make us happy and productive.”
This research was supported, in part, by NASA.
3 Questions: MIT Sloan launches Evening MBADean Richard Locke discusses a new program that expands access for working professionals while deepening connections to Greater Boston’s innovation economy.The MIT Sloan School of Management is launching an Evening MBA program designed for high-performing individuals who want to earn an MBA while continuing to work. Beginning with its first cohort in August 2027, the 22-month program will offer the same academic rigor, admissions standards, and world-class faculty as MIT Sloan's existing MBA programs, providing a primarily in-person, cohort-based experience tailored to working professionals. In this interview, MIT Sloan Dean Richard M. Locke speaks about the new program, why now is the right time to launch it, and what it means for the Greater Boston region.
Q: Who is the new MIT Sloan Evening MBA designed for?
A: We created the Evening MBA for talented, ambitious professionals who want to earn an MBA from MIT Sloan during the week, but prefer to remain in their current jobs while pursuing their degree. We know there is a growing population of professionals who want to accelerate their careers, who want the intellectual challenge, leadership development, and network that come with a world-class MBA, but who are also building momentum in their organizations and don't want to step away from their careers to attend a full-time program. This program allows them to continue contributing to their organizations and immediately apply what they learn in the classroom to their work.
Students in the Evening MBA will be held to the same high academic standards, learn from the same world-class faculty, and benefit from the same commitment to rigorous, innovation-driven management education that defines our existing MBA programs. The difference is the format.
Q: What sets the Evening MBA apart from other MBA programs for working professionals?
A: Several things make this program distinctive. First, it combines MIT Sloan's academic rigor and strengths in innovation, analytics, technology, and applied management. It connects students to a high-caliber, technically sophisticated peer network inside the broader MIT ecosystem. Maintaining the school's high standards was a foundational principle in the program's design, so students can expect the same level of excellence that characterizes all MIT Sloan MBA offerings.
Second, the program is primarily in-person and cohort-based. Students will spend two evenings each week learning together, developing strong relationships with a group of high-performing peers, and also participating in week-long intensive components of the program together. We believe those personal connections, classroom interactions, and opportunities for collaboration are an essential, and distinctive, part of the MIT Sloan experience.
Finally, students will have the opportunity to put their learning into practice immediately. Because they remain active in their organizations throughout the program, they can bring new ideas, frameworks, and skills directly back to their workplaces and see the impact in real time.
Q: How do you see the program impacting Greater Boston and the region?
A: We see a strong connection between the Evening MBA and Greater Boston's vibrant technology and innovation economy. The region is home to leading organizations across life sciences, health care, finance, energy, engineering, and entrepreneurship, and many of the professionals driving those industries are looking for opportunities to continue developing their management skills and knowledge, as well as leadership capabilities, without having to pause their careers or leave their organizations.
Because students will remain in their current jobs throughout the program, the benefits of this program also extend beyond the individual. Employers benefit from the upskilling and retention of these individuals, and this program accelerates participants’ careers and increases their value to their organizations.
The Evening MBA will also strengthen MIT Sloan's relationships with employers across Greater Boston and New England, expand our alumni network, and create new opportunities for collaboration among students, alumni, industry partners, and organizations throughout the region. Ultimately, it will help us advance MIT Sloan's mission of developing principled, innovative leaders who improve the world, while also contributing to the continued growth and success of one of the world's most dynamic innovation ecosystems.
The mystery of the Chinese tea chest labelMIT historian Tristan Brown uncovers the true origins of an artifact once thought to be a relic of the Boston Tea Party.When MIT historian Tristan Brown first examined a Chinese tea chest label displayed as a relic of the Boston Tea Party, he had no reason to doubt its story.
Descendants of Boston blacksmith Thomas Wells had donated the label to the Old South Meeting House in 1987, saying it had been recovered during the destruction of British tea in 1773. Because so few objects from the protest survive, the label appeared to offer a rare material connection to the event.
But after a year of archival and linguistic research, Brown reached a different conclusion: The label was made nearly a century later.
The decisive clue lay hidden in its Chinese text. Earlier researchers had approached the text through Mandarin, but Brown found that one sequence of characters was being used phonetically. Read in Cantonese, it rendered the name “Smith, Archer,” identifying Smith, Archer & Co., an American trading firm active in East Asia during the 1860s and 1870s.
The discovery does not make the label historically insignificant. Instead, it reveals a different story — one connecting Chinese migration, Pacific commerce, family memory, and the ways Americans constructed the history of the Revolution.
Brown presents his open-access findings in “Tea Chest Label,” published July 3 in the June 2026 issue of the American Historical Review. What began as an inquiry into a supposed Boston Tea Party relic became a study of how ordinary objects acquire historical authority, and how historical memory itself is made.
The project began in 2024, when the American Historical Review issued a call for essays on 76 objects connected to 1776, the year the United States declared independence from Britain.
“I’m a historian of China and don’t usually work in American history, but the idea of taking on one of 76 artifacts for the 250th anniversary of the U.S. sounded like a fun challenge,” Brown says.
As he considered which object to study, Brown recalled seeing the intriguing Chinese label during a visit to the Old South Meeting House, a major site of public debate in Revolutionary-era Boston and the place where colonists gathered before the Tea Party.
The object had stayed with him.
Following the evidence
The label offered Brown an unusual point of entry into the history of the Boston Tea Party. Its apparent significance was heightened by the scarcity of surviving objects from the event.
That scarcity reflects the nature of the protest itself. The destruction of the tea was a criminal act, and participants had strong reasons to conceal their identities and avoid punishment by the British Crown. Even today, no completely definitive list exists of the people who took part.
“That is one reason why the event remains shrouded in a degree of mystery,” Brown says.
With that uncertainty a given, Brown pursued two lines of investigation simultaneously: establishing the label’s provenance, and deciphering the label’s wording.
At the outset, he learned that scholars associated with the British Museum and Harvard University had examined the label. Their assessments had not definitively authenticated the label as a Tea Party relic, but neither had they ruled out an 18th-century origin.
“I believed it was real,” Brown says. “None of the parties who had previously assessed the label’s provenance concluded definitively that it wasn’t from the Boston Tea Party. And frankly, it was hard to imagine how an American family with no ties to China could have possessed a label written in formal Chinese listing the exact teas that were traded in the region.”
Brown spent months interviewing Wells descendants and searching for original documents that might connect the label to the 1773 protest. At the same time, he began tracing how the family tradition surrounding the object had developed.
Because claims of family participation in the Tea Party are often difficult to verify, Brown worked closely with members of the Wells family throughout the project, and found in them willing and generous partners. As the evidence began pointing away from the Revolutionary era, the research required both scholarly rigor and personal sensitivity.
“The Wells family, especially Charles Wells, were extraordinary collaborators,” Brown says. “They cared deeply about their ancestor’s legacy and the label’s history, and they wanted the truth as much as I did. This is their discovery as much as mine.”
Cracking the label
The Chinese wording on the label presented a separate challenge.
Brown could see that part of the text did not function like ordinary Chinese prose, but its meaning remained elusive. The breakthrough came when he revisited the way earlier scholars had pronounced the characters.
Previous translations and interpretations had relied on Mandarin, China’s official language rooted in the northern part of the country. Brown gradually recognized that one sequence of characters was being used phonetically to represent a foreign company name. When pronounced in Cantonese — the dominant language of the 19th-century commercial networks in which the label circulated — the characters reproduced the name “Smith, Archer.”
That reading identified Smith, Archer & Co., a New York-based import-export firm with offices in East Asia during the 1860s and 1870s. The company acquired Chinese and Japanese teas for shipment to American markets.
The label also named Yuan Tianbo, a Cantonese merchant connected to that trading network, whom Brown later traced to Yokohama, Japan in the 1860s.
The linguistic clue therefore did more than reveal a company name. It established that the label belonged to the world of 19th-century Pacific commerce, not the tightly controlled Canton trading system of the 1770s.
“That was the moment the entire story changed,” Brown says. “Once we could date the label, we finally knew where to look.”
From East Asia to the American Midwest
Once Brown had identified the company, he could begin reconstructing the label’s likely route into the Wells family’s possession.
The trail led to John Milton Wells, a relative who traveled from Michigan to the San Francisco Bay Area during the Gold Rush era from 1848 to 1855. Although John Milton did not strike gold, his years in California changed the course of his life. After returning to Michigan, he worked as a grocer and operated a business recorded in commercial directories as the “California Tea Store.”
A surviving trade card associated with Wells advertised imported Asian teas. Together with family letters, census records, and local business directories, it points to the commercial world through which a label produced for an East Asian tea merchant could have entered the Midwestern family’s collection. The label was therefore likely acquired through the family’s 19th-century tea business, rather than during the Boston Tea Party.
Brown argues that its Revolutionary pedigree probably developed later, amid the centennial commemorations of the 1870s, when many American families were emphasizing their connections to the nation’s founding era.
By the early 1900s, the story had appeared in a local newspaper, which reported that the label had been taken from a tea chest during the Boston Tea Party. Repetition in family accounts, newspapers, commemorative culture, and eventually museum interpretation helped transform an unverified tradition into an apparently authoritative history.
“The label shows how 19th-century global trade, Asian migration, and family storytelling together reconfigured American revolutionary memory by manufacturing the very relics that seemed to authenticate that memory,” Brown writes.
A different kind of historical artifact
Brown’s investigation also demonstrates how new research tools are allowing historians to revisit questions that once appeared settled.
Digitized commercial directories made it possible to trace Smith, Archer & Co. across East Asian ports. Searchable newspapers helped Brown follow the development of the Wells family story. Attention to Cantonese, rather than Mandarin, unlocked a company name that had gone unrecognized in earlier interpretations.
“Though the tea chest label is not from the Revolutionary War era, it’s still an important educational artifact documenting China’s long-standing trade with the Americas and the ways Americans have long looked to China to tell stories about their own country’s past,” Brown says.
The discovery changes the label’s historical significance, rather than diminishing it. The object’s value lies not in what it was reported to have witnessed in 1773, but in what it reveals about how later generations used globally circulating objects to construct memories of the American Revolution.
The label also preserves an important truth beneath the mistaken family tradition: The tea destroyed in Boston Harbor came from China. Its journey from an East Asian commercial network to a Midwestern family and finally to a Boston museum illustrates how American revolutionary memory became intertwined with Pacific trade and migration.
For Brown, the project offers a broader lesson about historical scholarship as an ongoing process of questioning, debate, and discovery.
“History is never finished,” Brown says. “Even objects that have sat in museums for decades can reveal entirely new stories when we ask new questions.”
With a feel for physics, AI models simulate a wider range of real-world scenarios“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren’t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don’t understand physics as well as they do pixels or text.
To build an AI system that can reliably simulate a variety of physical scenarios, engineers need a range of physics data at a scale that isn’t yet feasible. That’s because it’s very time-consuming to get neural networks just a few data points they can understand. They rely on algorithms called “numerical solvers” to calculate physical properties at different points of a 3D shape. It’s a thorough process, but it takes so long that it limits how much data you’ll have to, say, test if your plane designs are safe and aerodynamic.
A new pre-training approach known as “GeoPT,” developed by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Tsinghua University, gives simulation models a chance to learn physics in a broader, more efficient way. It virtually reenacts everyday mechanical interactions in 3D, showing how particles stop when reaching some part of an object. These simulations give the models a sense of how physics works, helping them model the real world more accurately, reach peak performance twice as fast, and train on up to 60 percent less data compared to leading models.
Soon, the project could help engineers predict how vehicles (like cars and planes), everyday items (including chairs and containers), and robots respond to various physical elements, such as wind, water, and collisions. The researchers believe their work could also be a step toward a physics foundation model, a backbone system trained on lots of data that can help AI tools generalize to different tasks.
“We believe physics is the third modality for AI models, after text and pixels,” says MIT PhD student and CSAIL researcher Minghao Guo, a co-lead author on a paper introducing GeoPT. “Our general-purpose model has the versatility to help build a world model for physics. Many models, such as those that generate robotics data and videos, are already well-versed in textual and visual data, but with physical accuracy, they’ll get more-realistic results.”
Easy to use
To use GeoPT, users simply upload 3D models of objects like battleships, passenger airplanes, and trucks, and specify the direction and speed of the force they want to simulate. The result is a kind of heat map showing how the object will be affected in different places. If you know the speed and direction (velocity) of the force you’re looking to simulate, you can capture it in GeoPT. This comes in handy when you want to simulate things like how a car would look after crashing into a wall, the ways light bounces around objects, and whether a boat stays afloat over turbulent waves.
But how does GeoPT “get” physics so well? Its knowledge comes from “synthetic dynamics,” a series of interactions between small particles and complex 3D shapes. GeoPT studied 1.3 million samples of synthetic dynamics, in which tiny spheres moved at various speeds and angles until stopping at a certain point on the object.
These particles basically “stick” to an object once they make contact, instead of moving through or bouncing off. Picture learning about physical interactions using marbles and action figures — similarly, simulation models can use synthetic dynamics to gain a feel for physics before they train on labeled data.
Industry success
The researchers found that GeoPT was particularly skilled at simulating industrial scenarios, as it outperformed state-of-the-art simulation models across benchmarks. The common thread: It reached peak performance faster than other tools, while needing significantly fewer labeled data.
On a dataset of complex 3D shapes and their responses to wind currents and surface pressure, for example, GeoPT surpassed state-of-the-art models in speed, accuracy, and efficiency. It had similar triumphs in speed and accuracy in capturing how fighter jets responded to wind. When GeoPT tested how the hull of a boat handled both air and waves, it required 60 percent fewer labeled data to capture both physical forces and reached peak accuracy four times faster than top baselines.
The system even succeeded at simulating how different types of cars look after colliding with another object. It correctly predicted how 3D vehicles would deform while using less data than state-of-the-art baselines. Likewise, its simulations of how light would pass through what was essentially a toy rabbit were accurate, despite never training on that 3D model or light physics beforehand.
“If your model performs well on industrial benchmarks, that means it can solve the hardest physics tasks,” says co-lead author Haixu Wu, an MIT postdoc and CSAIL researcher. “GeoPT was making high-fidelity simulations with over 100 million mesh points in seconds. This could make the tool extremely helpful for engineers hoping to test out blueprints for vehicles without needing to run so many physical experiments.”
The researchers add that their system is only a preview of the kind of physics world model they’ve been working toward. The team hopes to scale up their system, training on even more shapes and simulating more complex physical phenomena. For example, a more in-depth approach could help model weather patterns, test out different materials, and generate realistic videos.
“Using synthetic dynamics data is an exciting paradigm for imbuing physics into foundation models,” says Fei Sha, AI research scientist at Meta, who wasn’t involved in the research. “It challenges the traditional wisdom that physics and geometry are necessarily entangled in computation, and one must acquire costly and specialized data. The demonstrated success in a wide range of application domains leads us to this important juncture: We are ready to build physics foundation models, now and fast."
Wu and Guo wrote the paper with MIT CSAIL colleagues including Zongyi Li, a postdoc in the lab; Zhiyang (Frank) Dou, a CSAIL affiliate and MIT PhD student in electrical engineering and computer science (EECS); Kaiming He, a principal investigator in the lab, associate professor of EECS, and a distinguished scientist at Google DeepMind; and senior author Wojciech Matusik, the Joan and Irwin M. (1957) Jacobs Professor of EECS and a CSAIL principal investigator. Tsinghua University Associate Professor Mingsheng Long was also a co-author. The team presented the paper at the International Conference on Machine Learning in July.
The researchers’ work was supported, in part, by Neural Modular Physics Twin for Robotics.
On Earth, the processes behind navigation are made nearly invisible by global positioning satellites (GPS). In cislunar space — the region between Earth and the moon — spacecraft do not have that kind of always-available positioning service. Missions beyond geosynchronous Earth orbit still rely heavily on NASA's Deep Space Network (DSN), an accurate but limited Earth-based international array of radio antennas shared across many missions and nations.
Because all DSN sites are located on Earth, their separation is small compared with the scale of cislunar space, which limits the angular baselines available for orbit determination. Therefore, precisely estimating orbits for distant spacecraft can take hours, and DSN supports only a few missions at a time. In addition, DSN requires user spacecraft to actively emit signals for measurement, unlike GPS, which passively sends data for users to receive.
The Laser Communications Group and Advanced Capabilities and Technologies Group at MIT Lincoln Laboratory are developing a concept called the Light High-Orbit Utility Signal Emitter (LightHOUSE) to help overcome these limitations. LightHOUSE would use a small constellation of satellites in high-altitude orbits as cooperative optical beacons. These beacons would exchange timing and communication signals with user spacecraft and use imaging against the stellar background to estimate each spacecraft's three-dimensional position and velocity. By providing timely, independent navigation data across cislunar space, LightHOUSE could reduce the need for corrective maneuvers, preserve spacecraft propellant, lessen the burden on onboard navigation sensors, and ease demand on existing ground-based systems.
“Satellites in cislunar space have limited access to support resources, even though orbits at and beyond the geosynchronous belt are increasingly important for various missions,” says Aaron Greenberg, a technical staff member in the Laser Communications Group. “The moon is reemerging as a strategic priority for national security. Nearly all space missions require some degree of precision navigation and timing, but no global positioning system exists in this domain. Here is where LightHOUSE is intended to step in, expanding critical and reliable communication and navigation services across this vast region.”
LightHOUSE would use free-space optical communications — laser links through space — rather than relying solely on radio-frequency systems. The concept builds on laboratory work demonstrated through NASA-sponsored programs such as TBIRD and O2O, as well as the Optical Time Transfer for Resilient Satellite Communications Networks project led by the Laser Communications Group with funding from the laboratory's internally administered R&D portfolio in optical systems technology.
“This concept hinges on a cooperative ranging capability enabled by free-space optical communications,” says Timothy Yarnall, an associate leader of the Laser Communications Group. “This technology area is one in which the laboratory is a global leader, as evidenced by the recent O2O success during Artemis II. The laboratory's experience with radiation hardening of digital focal plane array technology will also enable the sensitive receivers and star cameras — like the camera built by the Advanced Imager Technology Group for NASA's Psyche mission — that this concept relies upon.”
LightHOUSE beacons would be based in ultrahigh orbits, up to roughly 1 million miles in altitude. These high orbits replicate the angular diversity of GPS signals for users across cislunar volumes. They would also allow communication with spacecraft on the far side of the moon as viewed from Earth, preventing blackouts like the 40-minute period when Artemis II passed behind the moon.
Borrowing from the GPS philosophy, LightHOUSE is designed to place most of the technical burden on the beacon satellites, rather than on user spacecraft. The beacons would carry telescopes with tens-of-centimeter diameters and laser transmitters in the tens-of-watts range, while users would need only centimeter-scale apertures and tens-of-milliwatt lasers. The central engineering challenge is making that asymmetry work across cislunar space.
“From a design perspective, a major challenge will be making these services as easily accessible as possible to all potential users. The designed systems would be highly asymmetric, with LightHOUSE beacons taking on most technological and operational demands necessary to close links over the entire cislunar domain,” says Seth Trotz, a senior staff member in the Advanced Capabilities and Technologies Group.
Obtaining precise position measurements over such distances — combining optical communications with high-resolution imaging when beacons and user spacecraft are more than half a million miles from Earth — is itself a significant technical hurdle.
The team is now refining the system concept through analysis, simulation, and laboratory experimentation. In the near term, they plan to publish a detailed architecture for providing navigation data to LightHOUSE users. Longer term, the goal is to make navigation beyond geosynchronous altitudes routine, reliable, and accessible for a broad range of users, supporting Artemis and the growing wave of missions to follow in cislunar space.
This work is sponsored by the undersecretary of war for research and engineering through the laboratory's internally administered R&D portfolio in sensing and communications. A full-scale system would require substantial investment, potentially on the order of hundreds of millions of dollars; for comparison, the operating budget of GPS is $1.8 billion per year, and a single DSN dish costs roughly $85-100 million.
MIT researchers tackle the economic realities of fusion powerTheir new study aims to give budding industry a framework for understanding how fusion can be profitable.In the last decade, scientists have shown that fusion energy can work, as a physical process. Next question: Can it work economically?
A study co-authored by MIT professors Dennis Whyte and Andrew W. Lo proposes a framework for understanding what’s needed to make fusion energy commercially viable in the marketplace. The method considers the physical inputs needed to sustain controlled fusion energy production, as well as the cost of building power plants that can compete in energy markets.
“It’s all the things that come along with finding, allocating, and spending money at this scale,” says Whyte, a professor of nuclear science and engineering at MIT and a key driver of the field’s progress, who co-authored the paper. “This is critical to what we do. We should look at the economics. If we want this technology to actually be meaningful in the world economy, we have to start getting straight with ourselves about these topics.”
The goal of the paper, Whyte says, is to create “this framework, where are all the economics are clear, and then we understand what it would mean” for any fusion energy power plant.
Fusion energy harnesses the reaction that powers the stars: the fusion of light nuclei. It is often referred to as “plasma fusion,” as the fusion reactions generate fuel in a plasma state, often confined by magnets or initiated by powerful lasers. Whyte says the goal is to generate abundant energy while also offering society attractive safety, licensing, and siting options.
In 2022, researchers at the National Ignition Facility in Livermore, California, one of the U.S. national labs, achieved a reaction with positive energy gain. Venture funding has also poured into the field in recent years, although there are still many challenges regarding the construction of viable commercial fusion energy.
“It’s challenging to reduce complex scientific and engineering requirements to economic consequences,” Lo says. “But if we don’t do that, we’re not going to get the funding we need to achieve the impact we want.”
The open-access publication, “Criteria for the economic viability of fusion power plants,” appears online in the Journal of Fusion Energy. The authors are Whyte, who is the Hitachi America Professor of Engineering and a professor of nuclear science and engineering at MIT; Lo, who is the Charles E. and Susan T. Harris Professor and a professor of finance at the MIT Sloan School of Management; Rachel Bielajew, an analyst with Rutherford Energy Ventures and a researcher at MIT’s Plasma Science and Fusion Center; Maria Hancock and Riley Moeykens of Rutherford Energy Ventures; and Guinevere Shaw of Rutherford Energy Ventures and MIT’s Plasma Science and Fusion Center.
Whyte is a former head of MIT’s Department of Nuclear Science and Engineering and a former director of MIT’s Plasma Science and Fusion Center. He co-founded Commonwealth Fusion Systems, an MIT spinoff firm that is one of the leaders in the fusion industry. Whyte and Lo also co-founded Rutherford Energy Ventures, a consultancy and investment advisory firm, which is working with the U.S. Department of Energy’s Oak Ridge National Laboratory to build a consortium for new fusion research.
10 parameters, any power plant
The framework Whyte and Lo propose in the paper has 10 parameters for evaluating the economic viability of a fusion energy power plant. Some of these are scientific and physical, dealing with the energy consumed and produced in a given plant. Most of the parameters are in the realm of engineering and economics, such as the costs of plant construction.
A key inspiration for the framework is the so-called Lawson Criterion, derived in the 1950s, which describes the combinations of temperature, plasma density, and energy confinement time that can produce net energy from the plasma due to fusion, regardless of its absolute power or volume. Specifically it calculates a “plasma Q,” which is the ratio of fusion power produced to the external power required to sustain the plasma.
“The Lawson Criterion describes the scientific success of energy gain from fusion plasmas, while our framework generally describes economic Q, which is the ratio of capital gained to that expended,” Whyte explains.
The parameters in the framework describe engineering features of the fusion power plant such as power density, the efficiency of converting fusion power into an economic product, and the durability of components used in the energy conversion, in addition to costing and market parameters that assess the expenses and returns from invested capital. Or, as Whyte puts it, the framework is centered on what it takes to achieve a net-positive economic return, “but applied to practical power plant design.” In parallel to plasma Q, the economic Q described in the framework must be greater than 1 for basic viability.
Researchers have tried a variety of methods for generating and containing fusion energy. The paper’s framework, Whyte emphasizes, is “completely agnostic to whatever fusion concept you use, because the physical reality of fusion is that you expend money to build the capability to produce fusion power.” And the parameters do not depend on the size of any reactor being built; the framework is set up so that any inputs can be scaled to a given project or power output.
“It doesn’t matter whether the fusion power plant is a small or large, the bottom line is: In both cases you better have money coming out that exceeds the money going in, otherwise it’s not going to be around for very long,” Lo says.
One source of motivation for the paper, Whyte and Lo say, is to underscore the importance of accounting for all costs in fusion research as rigorously as possible. While researchers will be highly aware of the costs of basic experiments, estimating the costs of a fusion reactor is a somewhat different matter, but something leaders in the field have to be increasingly oriented around.
Fixing a missing link
That is certainly the case, the authors note, as new rounds of funding enter the fusion energy industry. Just last week, Commonwealth Fusion Systems obtained a new billion-dollar round of funding support from investors; it hopes to open its first working power plant in the 2030s, in the state of Virginia.
Lo acknowledges that there will be uncertainties and challenging decisions involved in the development of the very first commercial fusion reactor. If successful, though, the industry might follow the path of learning by doing that has been common in energy and other industries, helping plants become more economical over time.
“This pattern of learning by doing exists in all deep technology sectors,” says Lo, noting that sequencing a human genome is a million times cheaper right now than it was about 25 years ago. “We’re going to see the same thing, but maybe not to the same degree, in fusion energy.”
Lo has long worked to develop ways for scientific research to gain financial support in biotechnology — and is launching a new MIT Sloan educational program, called CATAPULT, to provide more tools for people in any field of study to translate their research advances into products.
When it comes to fusion, Lo says, “It’s pretty clear that economic viability is something we can start assessing now.” And while there might be thousands of particular decisions involved in building a commercial fusion plant, the authors think they have an overall approach that will let people quantify all that work.
“When you’ve got a framework to evaluate it in a quantitative way, it tells you about the literal worth of making a particular design decision. That seems to me at this moment of fusion development absolutely critical, and what we’ve been missing,” Whyte says.
Physicists watch a material’s electrons assemble, and reassemble, into coexisting phasesThe study could help scientists understand how superconductivity and other more complex phenomena emerge in quantum materials.A tall glass of ice water isn’t just a thirst quencher; it’s also an everyday example of coexisting phases. Water’s molecular makeup can exist simultaneously in both a liquid and solid phase. And as it turns out, this phase duality can exist in more exotic, quantum materials, and in ways that are far more complicated to tease apart.
A new study by MIT physicists sheds light on how two different phases of electron behavior can emerge and coexist in the same quantum material.
Their results, reported today in the journal Nature Physics, can help to explain how some materials host superconductivity, magnetism, and other electronic phases. Untangling such phases, and understanding how they emerge, will help engineers control electronic behavior and design high-performance quantum devices.
“People believe the cornerstone of replacing silicon lies in quantum materials that have multiple coexisting phases,” says co-author Alfred Zong PhD ’20, who co-led the study as an MIT graduate student and is now an assistant professor at Stanford University. “Our experiment provides a very neat way to study these multiple phases.”
The team, led by Nuh Gedik, the Donner Professor of Physics at MIT, studied the rare-earth material erbium tritelluride. As with most materials, erbium tritelluride’s electrons are normally scattered uniformly throughout the material. But when cooled to certain temperatures, the electrons suddenly organize into a wave-like pattern, which physicists term a “charge density wave” (CDW) phase. When cooled even further, electrons coordinate again as a second wavy phase that criss-crosses the first. The effect is of an atomic checkerboard of co-existing electron phases.
Now, Gedik and his colleagues have teased apart erbium tritelluride’s phases and observed how each phase emerges. They found that one phase forms gradually, similar to how liquid water transitions uniformly into vapor. This is the classic, textbook way in which electronic phase transitions are thought to occur.
But the second phase came about in an entirely new and unexpected way: Instead of emerging gradually, the electrons organized first in pockets that eventually expanded, similar to how liquid water crystallizes into ice.
“The mechanism responsible for the emergence of this second phase has long been debated, and our approach provides a powerful new way to uncover the hidden physics behind phase transitions in quantum materials,” Gedik says.
The study’s other MIT co-authors are first authors Yifan Su PhD ’24 and Bai-Qing Lv, a former postdoc; Dongsung Choi SM ’17, PhD ’24; and former postdocs Doron Azoury and Masataka Mogi; along with collaborators from multiple other institutions.
A clear view
A charge density wave is made up of charges, such as electrons, that spontaneously organize as a wave. The wave’s crests hold the highest density of electrons, and the lowest are found in the troughs. In some materials, electrons transition into this strange coordinated phase at super-cold temperatures.
Scientists have observed charge density waves for decades, and most recently in materials that also host other, more complicated forms of electron coordination, such as various forms of magnetism, and superconductivity, in which electrons pair up and flow through a material without friction.
“Just like superconductivty, charge density waves are a collective phenomena where electrons move together in certain ways,” explains lead author Yifan Su. “The power of CDWs is that they are a much simpler form of matter compared to superconductivity. They offer a playground for fundamental understanding.”
Su and the team looked to get a clear view of charge density waves in a material that hosts two CDW phases simultaneously. How these waves emerge and coexist in a single material could shed light on how superconductivity and other more complicated phase transitions occur.
“One of the biggest questions in physics is why some materials host multiple phases while others do not. And when multiple phases do exist, how do they interact? Do they reinforce one another, compete, or coexist independently?” Gedik says. “This is like a case study for us to understand much more complicated materials.”
Shake, then listen
Scientists have observed two different charge density waves in erbium tritelluride — a rare-earth material that can be synthesized in the lab, in atomically thin sheets that can then be probed for unique, quantum-scale properties.
In previous experiments, physicists have found that when erbium tritelluride is cooled down to -8 degrees Celsius, the first of two charge density waves forms among the material’s electrons. This “dominant” wave stretches across the material in one direction. When the material is further cooled to -113 degrees Celsius, a second, “subdominant” charge density wave emerges, perpendicular to the first, creating a checkerboard of coexisting electronic phases.
In their new study, Gedik and his colleagues sought to tease out how each phase emerges in erbium tritelluride. The team obtained small, atomically thin samples of the material, which were synthesized by collaborators at Stanford. In Gedik’s lab, the researchers then cooled the samples down to about -230 degrees Celsius — temperatures at which the material should host both charge density waves, in a simultaneous, checkerboard pattern. They then either destroyed or weakened the checkerboard, and watched how both types of waves reemerged.
To do so, they exposed each cooled sample to a one-two punch of laser pulses.
“This is how we ‘shake’ and then ‘listen’ to the system,” Gedik says.
The first pulse was the “shake” that dissolved the checkerboard. The researchers could control the intensity of this kick to vary the degree to which the waves were disturbed. They then delivered a second laser pulse, of high-energy photons, to kick out electrons from the material. This second pulse was sent in at various times after the first pulse. The researchers then measured the energy and momentum of the kicked-out electrons, to get snapshots of how the material’s electronic phases recovered.
“We see the destroying of these phases, and then if we wait long enough, they come back,” Gedik explains. “And depending on how you hit them, the two phases respond differently.”
From their experiments, the team found that the first, dominant phase of charge density waves reemerges gradually and uniformly, no matter how hard the material was initially “kicked.” This smooth restoration is a textbook, “second-order” phase transition, similar to a magnet gradually losing its magnetism as it is heated.
What was more surprising was how the second wave pattern reemerged. This subdominant phase reformed more like water into ice. The electrons reassembled the wave in isolated pockets that spread, like crystals of ice. This more rare, “first-order” transition was not expected. The team’s study captured the the long-debated mechanism underlying the emergence of the subdominant CDW phase.
“In systems that are much more complex, like high-temperature superconductors, you see there are multiple phases — magnetism, superconductivity, charge density waves, and they all exist together,” Gedik says. “One of the theories is that, the way they interact with each other is key for their exotic properties. The lessons we learn here can be applied to much more complex materials.”
This work was supported by the U.S. Department of Energy, the U.S. National Science Foundation, and the Gordon and Betty Moore Foundation’s EPiQS Initiative grant.
Akirah Bradley-Armstrong named vice chancellor for student lifeAn experienced student affairs leader is joining MIT to oversee the next chapter for the Division of Student Life.MIT has appointed Akirah Bradley-Armstrong as vice chancellor for student life, effective Oct. 19, 2026.
The appointment, following a national search, was announced yesterday in a letter sent to the MIT community from Chancellor Melissa Nobles, to whom Bradley-Armstrong will report. Bradley-Armstrong will succeed Vice Chancellor for Student Life Suzy M. Nelson, who transformed student life at MIT during her 10 years in the role. Nelson announced her retirement earlier this year.
Bradley-Armstrong joins MIT from the University of California at Santa Cruz, where she has served as vice chancellor for student affairs and success since 2022. In that role, she has led one of the university's largest divisions, overseeing approximately 800 professional staff, 2,100 student employees, and more than 30 departments dedicated to supporting student success, health and wellness, housing, athletics, recreation, and campus life. She has served as a principal advisor to UCSC’s chancellor on student issues and collaborated with the academic deans, faculty, and the campus provost on student initiatives.
“Akirah is an accomplished and compassionate leader whose commitment to student success, belonging, and well-being has been demonstrated throughout her career,” says Nobles. “She brings a deep understanding of the challenges students face today, extensive expertise leading complex organizations, and a collaborative approach that will help her continue the work we have done to strengthen the student experience at MIT.”
The Office of the Chancellor oversees student life and learning at MIT. In her new role, Bradley-Armstrong will lead the student life side of that mission for undergraduate and graduate students. This broad portfolio encompasses dining; well-being and support; student organizations and events; the Department of Athletics, Physical Education and Recreation; and living communities, including oversight of the faculty-led residential house system.
Before assuming her current role at UC Santa Cruz, Bradley-Armstrong was the vice chancellor for student affairs at the University of Colorado at Boulder and held senior student life roles at the University of California at Berkeley. Bradley-Armstrong is a nationally recognized leader in higher education who served on the board of the National Association of Student Personnel Administrators and chaired its 2025 national conference.
“Throughout my career, I have partnered with high-achieving students across multiple institutions and understand that extraordinary achievement must be paired with strong investments in well-being, mental health, and belonging,” says Bradley-Armstrong. “I’m particularly energized by MIT’s large graduate student population, having worked with graduate students on housing, childcare, and student support, while also teaching a graduate course at CU Boulder. I’m equally drawn to MIT's residential house system, which clearly plays a critical role in the lives of students.”
Bradley-Armstrong has extensive experience leading institutions through periods of change and responding to complex student issues. She has collaborated with campus partners to develop policies and programs that promote dynamic campus communities. Grounded in her background as a first-generation college graduate, student-athlete, and sorority member, Bradley-Armstrong has earned a reputation for leading with deep integrity and an unshakeable commitment to student success.
“I am honored to join MIT and to serve alongside its students, faculty, and staff to support an exceptional student experience,” Bradley-Armstrong says. “MIT has a remarkable tradition of innovation, excellence, and community. I look forward to listening, learning, and building on the Institute's strong commitment to helping every student thrive.”
Nobles notes, “Throughout her career, Akirah has driven high-impact, system-level change across residential and Greek life, dining, athletics, and campus planning. Her innovative approach led to the launch of the University of California system’s first campus mobile crisis response team, the establishment of a two-year housing guarantee, and the advancement of initiatives of the UC Santa Cruz strategic plan.”
Bradley-Armstrong earned a Doctor of Education in Educational Leadership from the University of California at Davis. Her doctoral research examined how universities respond to tragedy as well as the support systems that help administrators navigate crisis response and recovery. She also holds a Master of Education in Higher Education and Student Affairs Administration from the University of Vermont, and a bachelor's degree from Mansfield University.
“I look forward to welcoming Akirah to MIT and to working alongside her — and our whole community — to shape MIT’s next chapter of student life,” says Nobles.
A new way to watch heat move through electronicsMIT researchers can now precisely measure how heat moves through multilayered materials like computer chips.The same overheating problem that happens to our laptops also plagues computer servers and data centers around the world — and heat management is only getting harder as computer chips get more compact and powerful.
Understanding how heat moves through chips at the micro scale is essential for continuing to improve their performance. Unfortunately, most methods for measuring heat flow struggle with multilayered devices like the electronics that power our modern world.
Now MIT researchers have demonstrated a new way to study how heat moves through multilayered materials, combining X-rays that penetrate multiple layers with laser pulses for delivering heat. The researchers used the technique to measure how heat moves inside a promising device for transistors and flexible electronics.
The method was so precise it allowed the researchers to quantify the effect of a single micron-scale defect in the device, revealing a surprising fourfold reduction in the material’s ability to transfer heat at that spot. They also found that the defect caused heat to spread unevenly, moving more easily in one direction than in the other.
The team believes the approach could help researchers understand overheating in devices and help companies develop more power-dense electronics for everything from AI applications to wearables and clean energy systems.
“Chip developers need devices that can handle heat,” says Mingda Li, an associate professor of nuclear science and engineering at MIT and co-corresponding author on an open-access paper about the work in Nature Communications. “I think overheating has become the real bottleneck in device performance. When doing these diagnoses using traditional techniques, they couldn’t get down to the micro- or nanometer scale. But eventually they’d like to go beyond that to study the heat carriers and understand exactly what causes failure, in order to avoid local hotspots and design better devices. This approach is a step in that direction.”
Joining Li on the paper are co-lead authors Thanh Nguyen PhD ’24 and MIT postdoc Chuliang Fu; PhD candidate Mouyang Cheng; Abhijatmedhi Chotrattanapituk ’21, SM ’26; Denisse Córdova Carrizales SM ’26; Eunbi Rha SM ’26; Tyra Espedal ’26; Buxuan Li PhD ’24; Shivam Kajale SM ’23, PhD ’26; Tongtong Liu PhD ’23; Kuan Qiao PhD ’22; University of Texas at Austin Assistant Professor Zhantao Chen SM ’18, PhD ’22; Argonne National Laboratory researchers Kumar Neeraj, Donald Walko, and Haidan Wen; MIT Principal Research Scientist Svetlana Boriskina; MIT Associate Professor Deblina Sarkar; and co-corresponding author and MIT Associate Professor Jeehwan Kim.
Tracking heat
Making more powerful computers and electronics often comes down to cramming more transistors into a smaller area. But the closer those transistors get to each other, the hotter the device gets as it operates, and the more heat needs to be moved.
Most people learn about the problem from their laptops overheating on their lap. At the data center scale, it means an enormous amount of energy must be devoted to cooling the servers.
The quest to design more power-dense computers and electronics is thus a quest to find materials that can transport heat most efficiently.
Researchers have used a number of methods to measure and model heat flow across materials, but they all have limitations when it comes to studying realistic device architectures. One common optical method to study heat at the microscopic level, for instance, is called time domain thermal reflectance.
“Because that technique uses optics, it doesn’t allow you to study different layers,” Kim explains. “Real devices have five or more layers. It also only provides an overall signal, and that makes it hard to see thermal transport happening in layers buried under the surface.”
Other techniques, like infrared cameras, don’t capture tiny changes at a fast enough frame rate to be useful at small scales.
To address those limitations, the researchers wanted to create something that could measure heat transfer at the nanoscale in multilayer systems. To do that, they used an emerging analysis technique that sends electron pulses and ultrafast X-rays at a material and measures changes in energy.
“Over the last few years, researchers have developed what is basically the brightest X-ray source in the world,” Nguyen says. “That allows you to focus an X-ray beam and get incredibly fine spatial resolution. You can also use a laser to heat the sample while the X-ray scans and shows how the heat dissipates across space in real-time.”
The technique offered a better view of heat transfer because the laser-powered electron pulse can capture changes in material strain at the atomic level while the X-rays can penetrate into multiple layers of the material, and the measurements can be combined to provide a clearer view of how a material moves heat.
“Using previous measurement techniques, in real devices, you couldn’t resolve what happens on one layer versus another, so you’d just measure the average,” Fu says. “X-rays can clearly show how heat propagates across the interface through their diffraction.”
The researchers applied their technique to a test device made of a layer of gallium nitride, which has shown promise for conducting heat efficiently, on top of silicon. The material combination has been studied for years, but its thermal performance has been shown to deteriorate because of tiny defects created during processing.
The researchers measured a fourfold reduction in heat dissipation across a wrinkle defect on the device and a 25 percent drop in heat dissipation across materials, showing more disruption to heat flow than they had expected.
“When people model heat dissipation, they model perfect crystals without defects,” Li says. “But these types of large wrinkle defects are very common in 2D materials. People never even knew how much heat is blocked by these wrinkles. Those are things we can now directly observe with this technique.”
Designing better chips
Li says a leading semiconductor industry consortium has already reached out to collaborate on applying the measurement technique to study different types of chips. He believes the technique will work to study a wide array of materials and devices.
“We can now pass a current and shine an X-ray on a device and see how the heat dissipates at a very small scale,” Kim says. “That’s something the industry has been longing for.”
Li says the approach will provide researchers with new information to improve the design of electronic systems.
“This will enable better thermal design of electronic systems,” Kim says. “Even with the same type of materials, the geometry and how the materials are laid out is quite complicated, so it will show us how those differences impact thermal flow by providing direct experimental measurements.”
The work was supported, in part, by the U.S. Department of Energy, the U.S. National Science Foundation, and the MIT School of Engineering Distinguished Energy Efficiency Fellowship.
Then and now: How MIT Lincoln Laboratory has served as a driving force in national security innovationMembers of the laboratory community reflect on technology impacts that shaped the United States and the world over the past 75 years.On July 26, 1951, the U.S. Air Force, Army, and Navy signed a charter establishing Project Lincoln, an R&D program managed by MIT to develop the nation's first continent-wide air defense system, SAGE. The charter called for a research center to be opened within the towns of Bedford, Lincoln, and Lexington, Massachusetts, to support Project Lincoln, which was subsequently renamed MIT Lincoln Laboratory.
Seventy-five years later, Lincoln Laboratory — operating as a U.S. Department of War (DoW) federally funded research and development center managed by MIT — continues to innovate technology solutions to pressing national security challenges in partnership with government, industry, and academia. These innovations have at once protected the war fighter and U.S. homeland while impacting society.
To commemorate the lab’s 75th anniversary, 10 staff members reflect below on key technology impacts. Additional technology impacts, both past and present, are featured on the laboratory’s historical timeline and in its 2025 Impact Report.
Surveilling space
“Since the dawn of the Space Age, Lincoln Laboratory has developed, prototyped, and/or operated essentially all radar and optical systems that the nation uses to surveil space. From detecting Sputnik in 1957 and conducting the first space-based tracking of satellites in 1997 to discovering more than 50 percent of then-known natural objects in the solar system by the early 2000s, these innovations have not only provided space situational awareness for the military but also advanced science.”
—Grant Stokes, laboratory fellow in the Space Systems and Technology Division
Trailblazing military satellite communications (MILSATCOM)
“Today, MILSATCOM is an expectation, used in almost every mission. But when we began the Lincoln Experimental Satellites program in the 1960s, only the glimmer of an idea existed. The laboratory brought this concept into fruition, developing a series of prototypes and then supporting industry as they built multiple generations of operational capabilities. The laboratory continues to provide assessments, test infrastructure, and advanced technologies for ensuring warfighters remain connected globally now and into the future.”
—Tom Macdonald, head of the Communication Systems Division
Advancing capability at a national test range
“For 64 of the laboratory’s 75 years, our staff, accompanied by their families, have been serving the Ronald Reagan Space and Missile Test Range on Kwajalein Atoll in the Pacific. As the range’s scientific advisor, we have helped envision, build, operate, and enhance instrumentation critical to missile defense and space situational awareness. With our technical support, this national asset hosts stakeholders across the DoW developing and demonstrating advanced technologies to keep us ahead of adversaries.”
—Katherine Rink, head of the Air, Missile, and Maritime Defense Technology Division
Protecting air travelers
“Aviation safety around the world has improved tremendously thanks to technologies developed at Lincoln Laboratory. Advanced surveillance and collision-avoidance systems pioneered here were critical to keep aircraft safely separated as traffic levels increased. Laboratory innovations in radar processing and weather forecasting now help controllers guide flights smoothly around storms. Today, we are excited to be designing novel technologies for drones and advanced air mobility systems that will revolutionize air transportation over the next 75 years.”
—James Kuchar, associate head of the Homeland Protection and Air Traffic Control Division
Miniaturizing microelectronics
“All electronic devices, from smartphones to laptops, rely on ever-shrinking transistors. The laboratory’s pioneering work in 193-nanometer lithography and liquid-immersion lithography enabled chip manufacturers to continue this miniaturization from 2000 onward. For nearly two decades, we had served as the international center of excellence for developing these technologies. The semiconductor industry adopted them worldwide, impacting virtually every aspect of modern life. We continue innovating techniques to fit more transistors on chips powering our digital age.”
—Mordechai Rothschild, principal staff member in the Advanced Technology Division
Saving lives on the front lines
“During operations Iraqi Freedom and Enduring Freedom, Lincoln Laboratory’s work countering improvised explosive devices helped shift the fight from reacting to roadside bombs to anticipating, detecting, and defeating them. We quickly prototyped, integrated, and fielded several advanced surveillance and sensing systems that reduced casualties and improved freedom of maneuver. This approach — combining rapid innovation with rapid transition to the field — continues to strengthen national security and save lives as we confront today’s newest battlefield challenges.”
—Justin Brooke, Lincoln Laboratory assistant director for research and development
Providing actionable intelligence
“How do you find targets hidden in plain sight? The laboratory has been addressing this question for decades. We've developed airborne 3D lidar systems to image beneath triple-canopy jungle, ground-penetrating radar and opto-acoustic systems to locate buried mines, techniques exploiting molecular vibration at terahertz frequencies to identify trace-explosives residue, and airborne synthetic aperture radar systems to map vast areas and pinpoint objects of interest. These technologies have enhanced the effectiveness of U.S. military missions globally.”
—Jalal Khan, assistant head of the ISR and Tactical Systems Division
Beaming data over lasers
“In 2013, the laboratory and NASA made history by transmitting data from the moon to Earth at record-breaking speeds using lasers instead of traditional radio. This laser communications demonstration incorporated decades of laboratory engineering innovation and paved the way for future missions. The same technology was used recently to connect the world with the Artemis II astronauts, enabling near-continuous transmission of awe-inspiring high-definition images and videos — forever shaping how we communicate across the solar system.”
—Bryan Robinson, leader of the Optical and Quantum Communications Group
Detecting biological threats
“Biological threats, whether from weaponized agents like anthrax or infectious diseases like Covid-19, pose significant risks to national security. For three decades, the laboratory has advanced technologies that strengthen the nation’s ability to detect, prevent, and respond to such threats. Our innovations in environmental biosensing and presymptomatic detection of infection enhance public health resilience and protect infrastructure. For war fighters, these technologies provide improved health monitoring and threat awareness to maintain operational readiness in complex environments.”
—Christina Rudzinski, assistant head of the Biotechnology and Human Systems Division
Securing cyber systems
“The greatest reward of our cybersecurity work is not the research we publish or technologies we create — it is the impact we’ve delivered to the men and women on the front lines using our technology. By understanding the threats, strengthening resilience, and delivering new capabilities to confront our adversaries, we have helped secure the nation. Our innovations have not only supported the DoW and intelligence community but also advanced the world of computing and security research.”
—Stephen Rejto, head of the Cyber Security and Information Sciences Division
Looking forward
“Our founding charter called upon MIT to solve an urgent national security crisis. That mission still drives us 75 years later. Lincoln Laboratory’s technological innovations have defended the homeland from emerging threats, enhanced war fighter operations on the modern battlefield, protected the public from natural and deliberate hazards, and enhanced daily life. Across air, land, sea, space, and cyber, we are advancing technologies and prototyping complex systems to help safeguard the nation for decades to come.”
—Melissa Choi, Lincoln Laboratory director
Researchers make air-stable, ultrathin superconductors, for more scalable quantum devicesA new technique produces wafer-scale samples, overcoming a major roadblock to using these materials in quantum technologies.Super-thin superconducting materials, which are only one or a few atoms thick, have unique properties scientists can leverage to produce more compact, scalable, and efficient quantum devices. But these fragile materials degrade so rapidly in air that they are difficult to study or manufacture.
Now, researchers from MIT and elsewhere have discovered and harnessed a method to generate a large, uniform area of ultrathin superconducting material that remains stable in air.
They “grow” the superconducting material, called niobium diselenide, underneath another atomically thin material, carbon-based graphene. The graphene layer protects the fragile superconductor from oxidation, while guiding it to grow in a smooth layer over a large wafer-scale area.
The researchers further integrated this air-stable superconductor into a superconducting microwave circuit. When tested, the material maintained its superconducting properties and exhibited high kinetic inductance, which is a resource for many quantum devices.
In the long run, this advance could help miniaturize superconducting quantum computing hardware, as well as technologies like ultrasensitive quantum detectors for communications or cosmology.
“Emerging superconductors that are only a monolayer thick have a lot of potential. Thanks to our new process, they are no longer materials that can only be made at a very small scale. There are now exciting opportunities for scientists to study these materials, utilize them in circuits, and explore their practical applications,” says co-lead author Xudong Sheldon Zheng, a graduate student in the MIT Department of Electrical Engineering and Computer Science (EECS).
He is joined on the paper by co-lead authors Sameia Zaman SM ’24, an EECS graduate student, and Kenan Zhang, a recent postdoc in the MIT Research Laboratory of Electronics (RLE); corresponding authors William D. Oliver, the Henry Ellis Warren (1894) Professor of EECS and professor of physics, director of the Center for Quantum Engineering, and associate director of RLE; Joel Î-j. Wang, an assistant professor at New York University; and Jing Kong, the Jerry Mcafee (1940) Professor in Engineering at MIT and a member of RLE; as well as others at MIT and Lincoln Laboratory, Rice University, Yale University, and Pohang University in South Korea. The research appears today in Nature.
Powerful properties
Superconductors are materials that can conduct electricity without resistance, and they are essential for some types of quantum devices.
Two-dimensional superconducting materials retain their superconducting properties despite being only a few atoms thick. These materials hold the promise to miniaturize superconducting circuitry.
Niobium diselenide, an ultrathin superconductor composed of a single, closely packed layer of niobium atoms sandwiched between a single layer of selenium atoms on either side, has a very high kinetic inductance, as members of the research team recently reported.
This enables the material to store a great deal of inductive energy in a very small area. Large kinetic inductance in a small form-factor is a desirable design element in many quantum devices.
One commonly used approach to realizing a large kinetic inductance is to string together an array of devices called Josephson junctions.
If scientists could incorporate materials such as thin niobium diselenide with sufficiently large kinetic inductance into a quantum circuit, they could replace the large area of electronic junctions with a tiny piece of thin-film material, making the circuit more compact. But because niobium diselenide degrades rapidly in air, scientists have not been able to reliably fabricate devices at the wafer scale. Instead, they rely on exfoliation techniques that yield small flakes. Furthermore, researchers have struggled to grow material with uniform monolayer thickness. Consequently, it has been challenging to fully probe its properties or test it in practical applications.
“Typically, once we make the material and remove it from its inert environment, it immediately starts to oxidize and degrade, ultimately becoming damaged,” Zheng explains.
Scientists usually grow niobium diselenide by depositing chemical precursors onto a silicon dioxide substrate. Then they place another layer of two-dimensional material, like graphene or hexagonal boron nitride, on top to protect the fragile superconductor from air.
But such postgrowth protection presents a challenge. The superconductor begins to oxidize almost immediately after synthesis, degrading its properties before it is protected. Meanwhile, the protection process requires a stringent inert environment and delicate processing.
Mind the gap
The MIT researchers used a different tactic. They put the layer of graphene on top of the silicon dioxide substrate first. Then they deposited the precursors and grew the superconducting material in the tiny gap between the two layers.
“It took a long time for us to understand how the growth could happen underneath the graphene. Through collaboration and discussion, we eventually uncovered the mechanism for growing the material at the interface, and this solves a lot of problems and allows us to simplify our fabrication steps,” Zheng says.
The silicon dioxide substrate helps trap the precursors long enough for the crystal to begin forming, while the graphene layer allows them to move around easily and spread into a continuous monolayer.
The researchers used this technique to generate a perfectly smooth layer of niobium diselenide more than an inch in size.
“By carefully tuning the growth conditions, we can ensure the material grows between the layers in exactly the way we’ve designed,” Zheng says.
Even though the graphene is placed on top of the silicon dioxide, the weak adhesion between these materials leaves a gap between them less than 1 nanometer thick. The niobium diselenide grows only within that gap. Then, since it is already encapsulated by graphene, the researchers can safely remove it into the ambient environment without causing degradation.
Careful connections
The researchers also designed an oxidation-free transfer technique to peel the graphene-niobium diselenide structure from its growth substrate, building on prior work by members of the team.
Then, they developed a method to integrate the thin film into a quantum circuit without hampering the fragile superconductor or its properties.
“It is challenging to make a good electrical connection between this very thin material, which is only about 1 nanometer in thickness, and our electrodes, which are a few hundred nanometers in thickness,” Zaman says.
They carefully etch the side walls of the thin-film superconductor in a vacuum chamber, which preserves the smooth edge of the material. When they integrate the prepared niobium-graphene structure into a conventional superconducting circuit, it forms a reliable electrical connection. Importantly, the material maintained its superconducting properties and exhibited high kinetic inductance after clean room fabrication and integration into the circuit. This makes it particularly attractive for fabricating compact superconducting quantum devices and other quantum technologies.
Furthermore, the growth strategy is not limited to monolayer niobium diselenide. The researchers demonstrated that it can be extended to a broad family of monolayer quantum materials with diverse and technologically important properties.
In the future, the researchers aim to integrate these ultrathin superconducting materials into functional device architectures to enable the exploration of fundamental physics and the prototyping of quantum devices and other advanced technologies.
“We’ve taken a very good step toward exploring both the physics and the application side of this thin, monolayer superconductor, which we can now grow in wafer scale or in even larger areas. There are a lot of directions we can go in the future,” Zaman says.
This research was funded, in part, by the U.S. Army Research Office, the U.S. National Science Foundation, the Schlumberger Foundation, the U.S. Department of Energy, the U.S. Air Force Office of Scientific Research, the Semiconductor Research Corporation Center, the MIT Institute for Soldier Nanotechnologies, and the National Research Foundation of Korea. This work was carried out, in part, using MIT.nano facilities.
Scientists unveil more than 600 new tissue models of human cancer Derived from patient tumor samples and available to researchers around the world, the cells will aid the development of new cancer treatments.To develop new targeted treatments for cancer, scientists need tissue models that accurately represent the genetic and molecular traits of the cancer they’re studying. An international team led by researchers at MIT’s Koch Institute, the Broad Institute, the Dana-Farber Cancer Institute, the National Cancer Institute, and numerous other partnering institutions has developed nearly 700 new cancer models, derived from patient tumors, which they hope will aid in drug development.
These cells, which represent 25 different types of cancer, are now available for cancer researchers around the world to use. The project is described in a new paper appearing today in Nature, with contributors from more than two dozen institutions.
The models are the result of a 10-year initiative, funded by the National Cancer Institute, to expand the number of patient-derived tissue models available. For most of these models, the researchers converted tumor cells into organoids — 3D cell cultures that can survive indefinitely and mimic the genetic and molecular features of the tumors that they originally came from.
This type of model could help researchers identify new drug targets and test potential new treatments for many more types of cancer.
“Since the sequencing of the human genome and the analysis of cancer genomes over the last 20 years, we have had many ideas about cancer targets, but we need experimental systems in the lab to validate those targets and launch drug discovery projects,” says Jesse Boehm, a research scientist at the Koch Institute and one of the senior authors of the study.
From tumors to organoids
The Human Cancer Models Initiative was launched in 2016, following the completion of the Cancer Genome Atlas, an effort to catalog the genomic alterations responsible for cancer growth.
For the atlas project, researchers sequenced cancer cell samples from thousands of patients. That work revealed that the diversity of tumor genetic profiles was not fully captured by the roughly 1,000 patient-derived cancer cell lines that existed at the time.
“We realized that a thousand wasn’t enough, that the international community needed to invest in many more thousands to represent all cancers, all genotypes, all ethnicities,” Boehm says. “Most existing models come from European and Southeast Asian patients, and many rare cancers are missing.”
Funded by the National Cancer Institute and the United Kingdom’s Wellcome Trust, hundreds of scientists across dozens of institutions participated in obtaining patient samples and developing them into cell lines that could be used for research.
“It’s been an enormous initiative, and this Nature paper is the culmination of that 10-year swath of activity,” Boehm says.
More than 2,700 tumor samples were obtained from hospitals participating in the study, from patients who gave their permission for their cells to be used for research. These samples were collected by hospitals in the United States, the United Kingdom, and the Netherlands.
“A resource of this scale depends on the kind of systematic effort that often happens behind the scenes,” says Mushriq Al-Jazrawe, scientific director of the High Throughput Sciences (HTS) platform at the Koch Institute and one of the lead authors of the study. “I’m especially grateful to the technical and scientific teams across the participating institutes whose careful, expert work turns patient tumor samples into well-characterized models and data that researchers everywhere can use with confidence.”
Most of these samples came from commonly seen cancers such as lung, liver, and pancreatic, but they also included about 150 rare types including tumors of the gallbladder and the small intestine.
To convert these samples into cells that can survive indefinitely in the lab, the researchers developed techniques for culturing the cells in specialized growth media with a scaffold that helps them grow into a 3D structure. Overall, the researchers were able to successfully convert about one-third of the patient samples that they received.
Most of these new models consist of organoids, which in some cases more closely mimic the structure of the tissue that the cells came from. Traditional cancer cell lines, which were developed beginning in the 1950s, exist as single layers of cells grown in a lab dish, while organoids consist of three-dimensional balls of cells embedded in a gelatin-like structure.
Once the organoids and cell lines were established, which can take up to a year, the researchers analyzed them to make sure that their genomic sequences, RNA expression, and epigenomic modifications closely matched those of the tumor cells that they were derived from.
Cancer vulnerabilities
All of the models developed as part of the HCMI were deposited at the American Type Culture Collection (ATCC), a nonprofit distributor of cell lines. Each model also has extensive data from the patient whose cells were used to start the cell line, including mutations that the patient inherited from their parents (germline mutations), and information on the cancer treatments they received.
Using these models, scientists should be able to perform much larger scale screens that could aid in drug development efforts.
In another paper also appearing in Nature today, Broad Institute researchers reported that they were able to profile more than 300 of the new models using high-throughput genome-sequencing, RNA sequencing, and more than 100 with CRISPR loss-of-function screens. This enabled them to identify vulnerabilities in each model that could be targeted with new drugs.
These findings have been added to a resource known as the Cancer Dependency Map (DepMap), which now includes information on more than 2,000 types of cancer.
In another Nature companion paper, researchers at the Sanger Institute led an effort to characterize an additional 256 organoids developed through the HCMI project.
Additionally, even though most aspects of the formal HCMI project are currently winding down, researchers hope to continue developing models derived from additional patient tumor samples, including more pediatric cancers and rare cancers.
“We now have about 2,000, but if we really want to represent all humans with cancer in our preclinical research, more work is needed. We have to invite patients to donate tissue to make research tools that the whole world can use,” Boehm says. “I think this will hopefully be not the end, but the beginning.”
“A major opportunity now is to carry the lessons of HCMI forward, so we can generate as much insight as possible from these precious tissue donations,” says Al-Jazrawe, who is also a researcher in the Broad Institute’s Cancer Program. “Here at HTS, we are continuing the work by developing methods to study patient-derived samples and models reproducibly and at scale, and by providing a platform for close collaboration with clinical and research teams.”
Other senior authors of the HCMI paper are Mathew Garnett of the Wellcome Sanger Institute, David Tuveson of Cold Spring Harbor Laboratory, Andrea Califano of Columbia University Vagelos College of Physicians and Surgeons, Paul Spellman of the University of California at Los Angeles, Keith Ligon of Dana-Farber Cancer Institute, Daniela Gerhard of the NCI Center for Cancer Genomics, and Louis Staudt of the NCI Center for Cancer Research.
In addition to Al-Jazrawe, the paper’s lead authors are Dina El-Harouni of the Broad Institute and Dana Farber, Seongmin Choi of Memorial Sloan Kettering Cancer Center, Merve Dede of the University of Texas MD Anderson Cancer Center, Toshinori Hinoue of the Van Andel Institute, Sean Misek of the Broad Institute and Dana-Farber, Heeju Hoh of the Institute of Systems Biology and the Columbia University Vagelos College of Physicians and Surgeons, and Luca Zanella of the Columbia University Vagelos College of Physicians and Surgeons.
The research was funded primarily by the National Cancer Institute and the Wellcome Trust.
These 3D-printed objects can tell you if they’re being used properly The “ShiftLens” design and fabrication system creates objects that change their surface appearance based on user interactions, without any electronics.Imagine a bottle of hazardous chemicals sitting on a laboratory shelf that changes its appearance to alert scientists that its lid is not properly secured, potentially preventing a dangerous spill.
A new 3D-printing system created by MIT researchers enables users to produce interactive objects like this chemical bottle, which change their appearance when they are pressed, slid, or turned, without the use of any internal electronics.
Their system simplifies the process of designing and fabricating 3D objects with mechanically switchable surface appearances, enabling individuals without technical expertise to quickly generate dynamic everyday objects.
The design and fabrication system combines specially arranged optical layers with built-in mechanical parts so a single object can display different images or patterns. The resulting objects change appearance based on user interactions like screwing on a lid or flipping a switch, and they can be manufactured in one pass on a multimaterial 3D printer.
The system can be used to fabricate a range of interactive objects that don’t require fragile electronic circuits, such as adaptable warning signs that could withstand foul weather or dynamic packaging that alerts users if fasteners came loose during shipping.
The end-to-end system could also streamline rapid prototyping of adaptable objects for artistic, architectural, and engineering applications.
“With our system, an object can tell you whether you are using it properly, without the need for sensors or any complicated electronics. The interactive display is mechanical, so you can create a self-contained, multistate, interactive device that a user can control very intuitively,” says Yunyi Zhu, a graduate student in the MIT Department of Electrical Engineering and Computer Science (EECS) and lead author of a paper on this platform.
Her co-authors include Dingning Cao, an MIT undergraduate; Jeremy Mrzyglocki, a graduate student at the Technical University of Munich; Stefanie Mueller, an associate professor in EECS and the Department of Mechanical Engineering at MIT and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Narjes Pourjafarian, a postdoc at Northeastern University. The research will be presented at the ACM Symposium on User Interface Software and Technology.
Mechanically switchable surfaces
Many interactive products rely on screens and electronics to change their appearance. But if these dynamic objects are exposed to water or harsh chemicals, or are squished, twisted, or pressed with great force, the fragile electronics could be damaged.
On the other hand, conventional methods that use surface optics to change an object’s appearance without electronics typically utilize static labels like stickers or curved lenses to create different visual effects based on where the user is looking, limiting interactivity.
To simplify the process of making dynamic, interactive objects that don’t require electronics, the MIT researchers developed a system that automatically converts a user’s design into a 3D printer-ready model of an object with a mechanically switchable surface appearance.
Their design, ShiftLens, creates switchable appearances by combining two optical layers on an object’s surface. It places a layer of special lenses over an underlying, patterned backplane.
The object displays different visual states based on the motion between the two layers.
The lens layer contains an array of tiny lenticular lenses, curved lenses which steer light differently depending on the viewing angle of the user. The pattern layer contains strips of images that correspond to multiple appearances of the object surface.
When the user shifts the lens layer, different parts of the backplane come into view. The lenses magnify these parts of the backplane image, changing the surface appearance.
“The biggest challenge in this project was to make sure all moving parts align. We need to make sure that the optical effect, mechanical linkages, and computational graphics align with one another,” Zhu says.
A straightforward system
To simplify the design process, the researchers created a user-friendly tool that does all this work behind the scenes.
It automatically generates a ShiftLens structure based on a few inputs, including images of the visual states the user wants to achieve and the desired shape and curves of the object.
“Another challenge is to communicate to users who are not familiar with optics or mechanical structures and let them specify and achieve what they have in mind,” she says.
The researchers thought carefully about how to communicate the limitations of the ShiftLens design tool to the user. For instance, ShiftLens is not compatible with all objects, since it requires a shifting motion to enable interaction between the two layers.
Users can either incorporate a ShiftLens into the design of an object that has this type of interaction built-in, like the rotation of a lipstick tube, or integrate an actuation mechanism like a switch, knob, or roller.
“With ShiftLens, users can control what an object looks like while they are using it,” she says.
The researchers showcased how someone might use ShiftLens by fabricating a range of interactive objects.
In one experiment, they created a chemical bottle that turns green and displays a check mark when the cap is securely tightened, but turns red and displays an exclamation mark when it is loose. For another demonstration, they fabricated a tic-tac-toe game with squares that can display a red X, a blue O, or no letter, depending on which direction a user turns a knob.
While the ShiftLens tool is designed to simplify the fabrication process for makers, the techniques could be scaled up for commercial and industrial applications, Zhu says. For instance, it could be used to design piping that can change its appearance to identify a damaged connection that is causing a leak.
“The leaking sink in my apartment would be a lot easier to fix if it could tell me where the leak was coming from,” Zhu adds.
The researchers want to explore additional applications in future work. They also plan to develop an algorithm that can generate a ShiftLens structure with fewer user inputs, simplifying the design process. In addition, they plan to enhance the design tool so users can incorporate a wider variety of actuation mechanisms.
Past is prologue for geopolitical developmentsDUSP Associate Professor Jason Jackson’s latest book compares how two countries chose radically different paths to economic independence.The end of World War II marked a turning point for global empires; weakened by years of conflict, European nations could no longer hold onto their colonies. A wave of independence followed. This shift was fueled by local anti-colonial activists, the heavy economic toll of the war, and the strategic interests of the new global superpowers, the United States and the Soviet Union. Yet these transformations also raised an important question: How would these developing nations approach economic independence?
In his latest book, “Constructing Economic Nationalisms in Brazil and India” (Cambridge University Press, 2026), MIT Department of Urban Studies and Planning (DUSP) Associate Professor Jason Jackson tracks how two of these emerging nations developed different brands of economic nationalism from the late 1800s through the early post-World War II era.
The timing of the book is prescient. The rise of globalization in the 1980s, 1990s, and 2000s led many observers to declare nationalism a relic of the past. Yet economic nationalism has returned with a vengeance over the past few years, making clear the importance of understanding this phenomenon in its historical and contemporary forms.
Although the idea of economic nationalism is commonly used, it is often misleadingly defined as “anti-foreign,” says Jackson. Instead, Jackson’s research provides a more nuanced definition of how Brazil and India regulated foreign investment after World War II to advance their standing in the industrialized world.
“Brazil and India typically come to mind if one were to ask which countries in Latin America or Asia pursued a lot of nationalist policies, but their approaches to economic nationalism manifested in very different ways,” says Jackson.
The two countries offer compelling comparisons of how economic policies and development strategies can diverge. Especially during the postwar era, both countries were driven to boost national income and secure economic sovereignty, and both aggressively pursued rapid industrialization. In addition to these shared goals, both countries faced the same basic hurdles: limited access to finance and technology that were deemed essential to building a modern industrial nation.
Jackson argues that it was Brazil’s and India’s colonial past and early independence experiences that formed their diverse approaches to economic growth. He selected two industries — oil and automobiles — to contrast their foreign direct investment policies. By focusing on the colonial experience, he explains how economic policies were born from a mix of cultural identity and material reality.
Jackson’s research relies on primary archival materials, including diplomatic correspondence between American officials in both countries and the U.S. Department of State. Because these officials served as boots-on-the-ground observers and intermediaries, their reports offer unique insights into the motivations of local business and government elites and the strategic concerns of American multinational firms.
“Nationalism manifested in very different ways in both places,” says Jackson. “In Brazil, I found that what was really salient and drove the parameters of economic nationalism was tied to the idea of protecting their natural resources. There was a strong belief that Brazil was very resource-rich and that outsiders — from neighboring countries to global powers — wanted its resources.”
This view was exemplified by oil. The link between anti-colonialism and oil in Brazil dates to the 19th century, beginning with the struggle between landed elites and the imperial court over subsoil property rights. By 1923, this sentiment was so strong that a law was proposed to ban oil concessions to foreigners. Notably, this law occurred before any oil had even been discovered.
By contrast, Brazilians were much less concerned about foreign ownership and control of other areas of industrial production such as manufacturing. To establish their automobile industry, they actively encouraged foreign firms to enter Brazil and to be the dominant partner in joint ventures, with local companies with Brazilian firms playing a more supportive, and often explicitly subordinate, role.
In India, the policies for the development of the petroleum sector and automobile manufacturing were completely reversed.
Long before the British had arrived in India or the Industrial Revolution began, India was a global leader in textiles. Their rich artisanal history is defined by centuries-old expertise in weaving and dyeing — skills that made Indian fabrics highly sought-after for generations.
Jackson argues that Indian economic nationalists strongly believed that British “free trade” economic policies toward the Indian colony decimated this age-old industry. “Free trade,” says Jackson, “derailed India from its natural path towards industrialization from the perspective of Indian nationalists. They saw the British as having enforced a trading system that brought in cheap manufactured goods from industrial sites such as Lancashire and Manchester in North West England and undermined artisanal production in India. In fact, many nationalists thought India would have ‘naturally’ had its own industrial revolution had the British never arrived.”
After winning independence, Indian nationalist elites were determined to address this colonial-era policy structure that had favored British capital. With a “manufacturing” mindset to grow its economic base, foreign automobile firms were restricted from having majority ownership or managerial control of companies in the emerging automobile industry in India. In fact, General Motors, which had been operating in India since the 1920s, was forced out of India in the post-war years, both for their failure to do “real” manufacturing (GM simply imported “complete knock-down kits” that were easily assembled with hand tools, rather than doing “real” manufacturing in the country) and because the government was intent on allowing domestic firms to flourish.
With oil production, however, Indians did not harbor concerns of foreign control or foreign multinationals taking the lead in extracting India’s petroleum. Despite explicitly recognizing oil multinationals as potential instruments of neo-imperial control, they allowed British and American oil companies to establish dominant positions.
For Jackson, the biggest takeaway from comparing these two countries and the directions they took to achieve economic independence is that to understand contemporary geopolitics, it's “crucially important” to understand nationalism.
“Up until recently, many scholars thought that economic nationalism was a thing of the past. Yet we now live in a world where it’s fairly undeniable that nationalism is a force,” says Jackson. “In this context, there’s a tension between those that want to retain the kind of liberal, global international order of a few years ago, while there are others pushing for a global economy that is more nationally centered and regionally organized. We see this kind of battle playing out in a variety of ways between the European Union, Russia, China, and the United States.
“If you want to understand today’s complex and ever-shifting geopolitical environment, particularly from the perspective of people in other parts of the world, it’s useful to be able to understand how they interpret the actions of the current global powers. One of the things we can take directly from this book is that we can understand how different kinds of nationalisms shape the ways in which people make sense of not just historical developments or things that have happened in the past, but contemporary geopolitical developments. Together, these help us to assess the present and to imagine possible futures.”
Reframing leadership as a design problemNicholas de Monchaux reflects on guiding the MIT Department of Architecture through a period of dramatic change for the profession.When Nicholas de Monchaux became head of the Department of Architecture at the School of Architecture and Planning (SA+P) in 2020, he stepped into an unusual set of leadership conditions. He had been due to start in July 2020. Instead, a springtime visit to Cambridge, Massachusetts, coincided with the first Covid-19 lockdowns, and he found himself taking on the role earlier than planned — several months before faculty, students, and staff were able to gather in the same room.
As he concludes his tenure as head of the department before becoming dean of the University of California at Berkeley’s College of Environmental Design, de Monchaux reflects on a period of disruption that became an opportunity to strengthen the department’s infrastructure and advance new models for architectural education and research: “One of the key accomplishments of my time as head of the department has involved finding ways to teach one of MIT’s most physical and collaborative subjects remotely, while keeping the community together and rebuilding our studio culture once we were back on campus,” he says.
Engaging complexity
The questions that have motivated de Monchaux’s research became central to the challenge of leading the department. As an architect and design theorist, his work draws on the science of adaptive complex systems to examine how design can shape resilient forms of organization under changing conditions.
His first book, “Spacesuit: Fashioning Apollo,” argues that the design of the Apollo spacesuit succeeded through continual adaptation across materials, manufacturing practices, and institutional networks, rather than through engineering optimization alone. His subsequent book, “Local Code: 3,659 Proposals About Data, Design, and the Nature of Cities,” shifts this inquiry from the body to the city, using geospatial data to show how thousands of marginal city-owned vacant lots could collectively support new forms of ecological and civic infrastructure, replacing top-down master planning with coordinated, site-specific interventions. If the impacts of the pandemic could be characterized as an emergent complex system at the scale of the body, the city, the planet — then leadership could be framed as a design problem.
De Monchaux’s understanding of design in relation to complexity science is influenced by his long-standing engagement with the Santa Fe Institute, where he serves as external faculty alongside researchers in the natural sciences, social sciences, and humanities. His instinct for combining multiple forms of knowledge can be traced back to MIT — he spent formative years here, where his father, John de Monchaux, served as dean of SA+P from 1981 to 1992. “I was shaped by the ethos of curiosity at MIT,” he says. “Not just when it comes to questions of science and technology, but also those of art, design, and culture.”
Paradox and works in progress
That way of thinking becomes especially relevant in the context of climate change. According to the U.N. Environment Program, the construction and operation of buildings account for almost 40 percent of global greenhouse gas emissions, an even larger share when urbanization, transportation, and the wider built environment are taken into account. For architects, this presents a paradox: The systems they work within have contributed substantially to the problems they now seek to solve.
“Over the past six years, our department has focused on two fundamental climate-related challenges,” says de Monchaux. “One is how to build differently through new approaches to circularity and material reuse. The other is how to make our social, cultural, and physical systems more resilient.”
Those priorities find expression in the Climate Studios, a research and teaching initiative nestled under the Option Studios (course number 4.154) that brings together faculty members — including architects, engineers, and historians — to collaborate with students on impact-driven research projects related to climate across multiple years of integrated research and pedagogy.
“The studios reorganize teaching in the department because students aren’t just working on speculative exercises, they’re working on real issues,” says de Monchaux. “Likewise, the studios reorganize research by allowing faculty to benefit from the boundless energy and imagination of our design students.”
The Climate Studios are part of a wider constellation of climate action initiatives in collaboration with the MIT Department of Urban Studies and Planning (DUSP). One example is a collaboration with DUSP and outgoing Department Head Chris Zegras, toward creating an MIT Civilian Climate Corps. Including seminars and workshops on community-focused design for MIT and its neighbors, and student-staffed work on circular material use, the initiative served as an incubator for the MIT Farm. Other projects at different stages of development were presented in the exhibition “Climate Work: Un/Worlding the Planet,” the department’s exhibition at the 2025 Venice Architecture Biennale, curated by de Monchaux alongside incoming department head Ana Miljački and exhibition designer Calvin Zhong ’18, MA ’24, MCP ’24. The exhibition embodied its own principles of circularity: The modular display tables, fabricated in Venice, were designed for reuse, and have since been installed as worktables in the department’s forthcoming home, the Metropolitan Storage Warehouse (the Met) — a space designed, like the exhibition, to invite continual experimentation.
Building connections
The transformation of the Met has provided another opportunity for de Monchaux to think about architecture as a process of adaptation and collaboration. Having previously worked at Diller Scofidio + Renfro, the architecture firm engaged for the renovation project, he brought a unique perspective to the process, acting as “a translator between two different languages.” Recognizing the shared culture of experimentation that linked the architecture firm and the department, he advocated for a more radical approach to the renovation, pushing the boundaries of what might be expected from an institutional building.
“It was important that the building remain open-ended and a little raw, because there’s a long tradition at MIT of students and faculty shaping their own studios and spaces,” he explains.
While de Monchaux is proud of the initiatives that took shape during his tenure, as a scholar of complex systems he knows better than to claim ownership over any single project. He describes both architecture and administration as acts of organization and rearrangement, evolving the work of predecessors and making way for those who follow.
One of the clearest examples is the department’s collaboration with Tuskegee University, which will be carried forward by Miljački. The Robert R. Taylor Project builds on a relationship dating back to 1893, when MIT’s first Black graduate and the nation’s first professionally trained Black architect left Cambridge to design much of Tuskegee’s campus, playing an influential role in defining the university’s approach to architectural education. De Monchaux worked closely with Kwesi Daniels, head of architecture at Tuskegee, to establish an exchange program connecting students and faculty through complementary forms of expertise, from the study of historic preservation at Tuskegee to digital fabrication and entrepreneurship at MIT.
“A relationship that was purely symbolic has now become part of the fabric of the two institutions, expanding access to different programs and ways of teaching,” says de Monchaux.
Invisible infrastructure
Less visible, but equally consequential, is the impact of strengthening the department’s underlying social and physical infrastructure. During de Monchaux’s tenure, this has included expanding student governance and community forums, increasing minimum fellowship support for MArch graduate students from 50 to 90 percent of tuition, earning accreditation for the department’s professional degree in architecture, and ensuring that every MArch student has access to a department-provided workstation in studio.
“What we’re really talking about is unlocking the latent curiosity and passion of every person in the department, providing the infrastructure that allows them to accomplish what they wouldn’t be able to do otherwise,” says de Monchaux.
That statement resonates with an idea he put forth in a 2023 essay for MIT Technology Review, which argued for a return to the roots of the word “design.” Successful designers, he proposed, “reshape not just objects, but also the culture and institutions that create them.” And so, if leadership is a design problem, the goal is to create the conditions for continually new and productive outcomes. The infrastructures built during this period — physical, academic, and social — provide a strong foundation for the leadership of de Monchaux’s colleague and successor, “the incredibly capable and visionary Ana Miljački.”
Solving the solvent problem By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.Lithium-ion batteries are the leading choice in today’s electric vehicle and battery energy storage system industries, but they contain a number of critical minerals — including lithium, cobalt, nickel, and graphite — that are considered essential for economic and national security reasons, and therefore vulnerable to supply chain disruptions. As renewable energy, electrified infrastructure, and high-power digital technologies continue to grow, there is an increasing need for energy storage systems that are low-cost, resource-abundant, and capable of fast charging and discharging.
That need, among other reasons, has motivated a group of researchers — based at MIT and led by Ju Li, the Carl Richard Soderberg Professor of Power Engineering in the departments of Nuclear Science and Engineering (NSE) and Materials Science and Engineering — to develop complementary energy storage solutions.
The team is looking, in particular, at sodium-metal batteries, which offer several attractive features. Sodium is about 1,000 times more abundant than lithium and, pound for pound, about one-hundredth the cost. A key challenge, however, is that sodium metal is highly reactive, making it difficult for these batteries to achieve both long-term stability and fast cycling.
A new paper in the journal Joule — written by 15 members of the MIT team and published online this week — shows how this dilemma can be addressed by finding the right electrolyte for this battery system.
Electrolytes behaving badly
An electrolyte is one of three main components of a battery, along with the negative electrode (the anode) and the positive electrode (the cathode). The electrolyte acts like the “blood” of the battery, allowing electrically charged ions to move between the two electrodes. “The electrolyte is supposed to just transmit those ions,” explains Li. “It’s supposed to be an ion conductor.” But unfortunately, most electrolytes get involved in unwanted chemical reactions with the electrodes, which can greatly undermine battery stability.
The consequences of these “side reactions” can be severe, says Weiyin Chen, a postdoc in NSE and one of four lead authors of the Joule paper. Insoluble compounds produced during the reactions can build up on the electrodes, creating a barrier that blocks ion transport and can eventually cause the battery to fail.
Until recently, Chen says, no electrolyte used in sodium-metal batteries was fully stable against these unwanted reactions at both the anode and cathode, even though such stability is essential for rechargeable batteries to achieve a long cycle life. An initial breakthrough occurred in 2021, when the Li group and their collaborators identified a “sulfonamide” molecule — consisting of sulfur, oxygen, and nitrogen atoms — that, when used as a solvent, “is magically stable at both electrodes in lithium batteries,” according to Li. This molecule is known as DMTMSA.
Building on that discovery, Li and his colleagues set out to see if related molecules could improve sodium batteries. The goal was not only to maintain stability, but also to enable fast charging and discharging. If charging is too slow, it could take all night to recharge, and if discharging is too slow, the battery cannot deliver much power when needed.
How did the solvent cross the road?
Chen explains the idea with an analogy: Suppose you need to cross a street jam-packed with pedestrians, much like ions traveling from one electrode to another. “You can move more quickly through the crowd with a small backpack that is snug against your body, rather than dragging a bulky suitcase on wheels,” Chen says.
A similar situation occurs in batteries: When sodium ions are surrounded by smaller solvents, they can move faster than when they are surrounded by larger, bulkier solvents. Faster ion transport enables more-rapid charging and discharging. The team’s goal, accordingly, was to identify solvent molecules that are small enough to improve ion transport while still maintaining electrolyte stability.
There is, however, a complicating factor — a trade-off to be addressed: Faster ion transport often comes at the expense of electrolyte stability. Many highly conductive electrolytes react more easily with the electrodes, shortening battery life. Fortunately for their plan, Li says, “reducing the size of solvents provides a new pathway to overcome this trade-off.”
The question then becomes how to find a smaller solvent that has other desirable properties. The idea they adopted is to look for molecules that are “congeneric,” says Li, “meaning that they belong to a similar family and are molecularly similar.” In particular, they searched for molecules related to DMTMSA, hoping to find candidates that were smaller but could retain the stability that made DMTMSA so promising.
Chia-Wei Hsu, an MIT PhD student in materials science and engineering, created an AI-guided algorithm, which designed 100,000 candidate molecules on his computer within 24 hours. Hsu then narrowed down the pool to 200 candidates by applying a set of technical criteria — including similarity in shape to DMTMSA and comparable electronic properties. Twenty-seven representative candidates covering the full range of possibilities were selected for experimental tests.
“We tested them all under the same conditions to make it a fair, head-to-head competition,” Chen says. A clear winner emerged, a solvent called DMFSA, which was both the smallest and the best.
Small is beautiful
This work, claims Jinhyuk Lee, an associate professor of materials engineering at McGill University who is not part of the study, “addresses one of the most persistent challenges in battery research: improving battery performance at high charging and discharging rates without sacrificing long-term stability. By carefully tailoring the size of solvent molecules, the authors demonstrate a new design strategy that could enable lower-cost, higher performance batteries.”
The group is not done. A new search is underway to find an even better solvent. This time, the approach is similar, but DMFSA (rather than the larger DMTMSA molecule) serves as the starting point. Chen believes the new solvents they are uncovering could eventually lead to rechargeable sodium-metal batteries that combine low-cost, abundant materials with fast charging and high-power performance, opening the door to broader energy storage applications.
The overriding goal of this work, the authors emphasize, is not only to advance sodium batteries. It’s also to introduce a new approach to electrolyte design that uses solvent size and molecular similarity as the key guideposts. Viewing the research in this light, sodium-metal batteries serve as a model system for demonstrating a more general design principle.
“Because the concept is broadly applicable,” Lee comments, “its impact could extend well beyond sodium batteries and influence the design of a wide range of future energy storage technologies.”
This work was supported, in part, by a National Research Foundation of Korea grant funded by the government of Korea government, as well as U.S. National Science Foundation graduate research fellowship. The characterization equipment used in this project is partly from the MIT.nano Characterization Facilities.
The benefits of medical AI assistance vary based on user expertiseStudy finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.A one-size-fits-all approach likely isn’t the best strategy when designing artificial intelligence systems that assist users in disease diagnosis.
A new study by researchers at MIT and elsewhere found that, while AI assistance generally improved the accuracy of non-experts and clinicians in diagnosing skin diseases, AI explainability methods had different impacts depending on the users’ knowledge level.
Explainable AI methods help users know when to trust a model’s predictions by describing or validating the model’s decision-making. For instance, a model might use a heat map to highlight image regions that were most important in its diagnosis or a large language model (LLM) to explain the prediction in plain language.
In this study, researchers tested non-experts and primary care providers in skin disease diagnosis, with and without the help of different explainable AI systems.
They found that non-experts’ diagnostic accuracy improved, but it was largely due to deference to the AI system. Non-experts trusted LLM-based explanations whether they were right or wrong, and found explanations more convincing when they were vague or generic.
By contrast, clinicians were not tripped up by incorrect AI assistance and performed best when given only a model’s prediction, with no accompanying explanation.
“Good AI systems can improve performance in some health settings, but this has to be balanced carefully with algorithmic deference that can lead to more error. We know that both AI and explainability methods can engage automation bias in humans, and this anchoring effect is something that must be accounted for when we design AI systems,” says Marzyeh Ghassemi, an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS), a member of the Institute for Medical Engineering and Science, and a principal investigator at the Laboratory for Information and Decision Systems and the Abdul Latif Jameel Clinic for Machine Learning in Health.
“These findings are important as patients increasingly turn to AI to help with their health care. Our findings show that those with the least medical knowledge are most likely to be led astray when explainable AI models give an erroneous output,” says Roxana Daneshjou, a co-author and assistant professor of biomedical data science and dermatology at Stanford University.
These results underscore the importance of building AI systems with users in mind and of developing explainability methods that encourage critical thinking rather than overreliance on the model, the researchers say.
“It’s getting obvious that we cannot just assume a good AI will solve all problems. We need to pay careful attention to the users who will be using the AI system, because the same explanation can help an expert and mislead a beginner. Often the people who could benefit most from AI are the ones most likely to be led astray by it, so how we present a recommendation matters as much as whether it’s correct,” says lead author Orson Xu, an assistant professor in the Department of Biomedical Informatics at Columbia University.
Ghassemi, Xu, and Daneshjou are joined on the paper by many authors, including MIT graduate student Haoran Zhang, undergraduate Reina Wang, and Luis Soenksen PhD ’20, a research affiliate at the Jameel Clinic, along with clinicians and researchers. A description of the work appears today in Nature Medicine.
Exploring explanations
Several FDA-approved AI interfaces are being used to help clinicians identify skin conditions in medical images, as a way to streamline early diagnosis. In addition to providing a prediction of whether disease is present in the image, these tools often use one of several methods that explain the model’s decision-making.
At the same time, non-experts can perform digital diagnosis on their own using AI-powered search engines that predict skin diseases based on user prompts. These systems often use LLMs to explain the model’s prediction in simpler terms.
The researchers explored the effects and potential benefits of these explainable AI tools on primary care physicians and non-experts in dermatological disease detection. They tested users by showing them medical images plus an AI prediction of skin disease, employing different explainable AI approaches.
These approaches included: an AI prediction and confidence level with no explanation, a method that provides similar images to reinforce its prediction, a heat map-based approach that highlights important image regions, and an LLM that explains the model’s reasoning in plain language.
Non-experts were tasked with deciding whether an image of a skin mole was cancerous, with and without the help of explainable AI. Clinicians were given the more challenging task of providing a differential diagnosis of dermatological disease.
The researchers found that all explainable AI approaches improved the accuracy of non-experts, mostly because the tools helped users diagnose non-cancerous moles.
In addition, when they employed a fairness-constrained model designed to combat bias against darker skin tones, the system significantly improved accuracy and reduced diagnostic disparities based on skin tone.
“But the reason non-expert users are better is because they are more reliant on the models. When the model is wrong, it hurts performance more than it helps performance when the model is right. We were just able to train very good AI models for this setting,” Ghassemi says.
This deference effect is largest with LLM explanations, and users were more confident about their wrong answers when aided by an LLM.
On the other hand, clinicians were resilient to incorrect AI explanations and, of all the explainability methods, LLMs boost their accuracy the least.
“It really comes down to how each group uses the explanation. A clinician already has a diagnosis in mind and checks the AI against their own training, so a bad explanation gets caught. Meanwhile, a non-expert can use that exact same explanation to form an opinion in the first place, so a plausible, confident-sounding rationale can pull them toward the wrong answer. The same tool ends up being an asset for one user and a liability for another,” Xu says.
Overcoming the deference effect
When the researchers dug deeper, they found that users who were most deferential to AI assistance were the worst performers on the task without the help of AI.
They also found that the time at which users were presented with AI explanations influenced their behavior. If an explanation is given first, before the user can perform the diagnosis on their own, they tend to become more deferential to the model.
In addition, AI systems outperformed humans when the presentation of disease was subtle, but humans performed much better if there are atypical symptoms or unrelated features in an image.
Taken together, these results indicate that explainable AI can cause overreliance on models and lead users to blindly follow AI recommendations even when they are wrong.
Rather than using LLMs to generate more detailed explanations, it might be more effective to force users to give a diagnostic hypothesis first, then provide an AI-based suggestion to highlight other possible conditions for consideration.
“We really want AI to improve creativity and either upskill or fill in gaps where users are missing subtle presentations. Otherwise, we risk engaging automation bias and then, when the model is wrong, users can’t recover,” Ghassemi says.
This research was funded, in part, by the National Science Foundation, Schmidt Sciences, the National Bureau of Economic Research, and Columbia University.
Alexander Rakhlin named director of the MIT Statistics and Data Science CenterAn expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.Alexander “Sasha” Rakhlin PhD ’06, the Distinguished Professor in Data, Systems, and Society at the MIT Institute for Data, Systems, and Society (IDSS); a professor of brain and cognitive sciences at MIT; and a principal investigator in the MIT Laboratory for Information and Decision Systems (LIDS) has been named the next director of the MIT Statistics and Data Science Center (SDSC).
Rakhlin succeeds Ankur Moitra, the Norbert Wiener Professor of Mathematics, associate director of the IDSS, and a faculty member in the MIT Department of Electrical Engineering and Computer Science (EECS) who has been SDSC director since 2021. Philippe Rigollet, the Cecil and Ida Green Distinguished Professor of Mathematics and a core faculty member in IDSS, also served as interim director in 2024-25.
“Sasha is one of the sharpest theoretical minds working in statistics and machine learning today, and also one of the most devoted mentors I know,” says Fotini Christia, the Ford International Professor of the Social Sciences and director of IDSS, which houses SDSC. “He has helped train an entire generation of interdisciplinary scholars through the Interdisciplinary Doctoral Program in Statistics (IDPS), while his own research keeps pushing the boundaries. The SDSC could not ask for a more fitting leader.”
Rakhlin is the inaugural holder of the Distinguished Professorship in Data, Systems, and Society, an endowed chair created in 2025 by the generosity and vision of IDSS professor Richard “Dick” Larson, an “MIT lifer” and pioneer in operations research, queueing theory, and system optimization.
“I am honored to take on this role,” says Rakhlin. “The strength of the Statistics and Data Science Center has always been its people — students, postdocs, and faculty from across MIT who bring sharply different perspectives to the most interesting problems of the day in statistics, machine learning, and AI. My goal is to support that community as it takes on the constantly evolving questions reshaping the field.”
Rakhlin has been connected to the Statistics and Data Science Center as a visiting professor since 2016, before formally joining MIT in 2018 in the Department of Brain and Cognitive Sciences and IDSS. As the initial chair of the Interdisciplinary PhD in Statistics program at the SDSC, Rakhlin has seen the successful defense of over 75 IDPS PhD students across a variety of departments at MIT, including IDSS’ own Social and Engineering Systems program.
“I have been fascinated by machine learning since my PhD work more than 20 years ago, drawn by its beautiful connections to statistics, probability, algorithms, optimization, and game theory,” says Rakhlin. “At the Statistics and Data Science Center, I work alongside colleagues who share this fascination and pursue these connections in many directions. The recent revolution in AI is extending this web into the sciences; it promises to accelerate discovery, and it raises new questions for statistics. Answering them demands a rigorous science of the tools themselves. As AI enters medicine, energy, and public life, its safety and security are, at their core, statistical and mathematical questions: quantifying uncertainty, providing guarantees, understanding failure, and resisting manipulation.”
As Rakhlin puts it, the SDSC is built for this moment. “Statistics is a shared language across MIT,” he adds. “Through the Interdisciplinary Doctoral Program in Statistics, the center connects students and faculty from economics and political science to physics and engineering. Collaborations in areas from biology to nuclear fusion have shown how statistical thinking accelerates science itself.”
As director, one of his goals is to deepen these interdisciplinary connections. He hopes to help make SDSC the Institute’s home for the rigorous foundations of data science and AI, and a bridge to the scientific and societal questions where those foundations are most needed.
Rakhlin received his bachelor’s degrees in mathematics and computer science from Cornell University, and doctoral degree from MIT. He was a postdoc at the University of California at Berkeley in EECS before joining the University of Pennsylvania, where he was an associate professor in the Department of Statistics and co-director of the Penn Research in Machine Learning center.
The 2026 Northeast Microelectronics Internship Program (NMIP), organized by the MIT Microsystems Technology Laboratories, brought together 30 exceptional students from leading universities across the Northeast for an immersive week exploring the rapidly evolving world of semiconductor technology and microelectronics. Held July 13-17, the externship provided undergraduate students with an opportunity to experience the complete microelectronics innovation ecosystem, from academic research laboratories to advanced manufacturing facilities.
Throughout the week, students visited several of the region's premier institutions, including MIT.nano, IBM Research, GlobalFoundries, Rensselaer Polytechnic Institute (RPI), and NY CREATES, where they engaged with researchers, engineers, faculty, graduate students, and industry leaders working at the forefront of semiconductor innovation.
The program began at MIT.nano with an inspiring overview of the microelectronics landscape led by Vladimir Bulović, director of MIT.nano, and Farhad Varzhegoo, director of strategic initiatives and partnerships at the Northeast Microelectronics Coalition Hub. Their presentations challenged students to think beyond today's technologies and consider the broader societal impact of tomorrow's innovations.
"What will the next innovation in microelectronics look like, and what should the world of tomorrow focus on?" they asked, encouraging participants to view engineering not only as a technical discipline, but also as a means to solve meaningful real-world challenges.
Following the opening session, Farnaz Niroui, the Emmanuel E. Landsman Career Development Chair and assistant professor of electrical engineering and computer science at MIT, organized a series of graduate student research presentations showcasing the breadth of microelectronics research taking place across MIT. The presentations explored topics spanning integrated circuits, nanoelectronics, photonics, quantum technologies, and advanced materials.
After the student research presentations, participants attended an industry panel exploring the transition from academia to careers in microelectronics. Organized and moderated by Susan Feindt, fellow emeritus at Analog Devices and visiting research scientist at MIT, the panel featured professionals from Rage Systems, Cadence Design Systems, Analog Devices, and RTX (Raytheon), who shared their career journeys, discussed the differences between research and industry, and offered advice on navigating career opportunities in the semiconductor sector.
"What stood out to me most about our day at MIT was the opportunity to engage deeply with PhD students in this field and understand the kind of opportunities available by pursuing a doctoral program," says Shanti Visurakapalli, a current undergraduate student at MIT. "I think this experience, complemented with the industry panel, gave many of us in the program the perspective we needed to weigh future graduate and professional options."
Throughout the week, participants connected classroom concepts with real-world applications through behind-the-scenes access to some of the nation's most advanced research and manufacturing environments. Students explored MIT's interdisciplinary laboratories, observed High-NA EUV lithography and quantum hardware development at IBM Research, toured GlobalFoundries' state-of-the-art 300mm semiconductor fabrication facility, learned how groundbreaking academic research transitions into commercial manufacturing at RPI, and gained insight into next-generation semiconductor fabrication at NY CREATES.
"The externship gave me a behind-the-scenes look at the advanced technologies driving the microelectronics industry while allowing me to connect one-on-one with researchers and industry professionals," says Sean Kim, a student at Princeton University. "Learning about emerging research and receiving career advice broadened my perspective on the field and inspired me to pursue a career in microelectronics."
Beyond the technical experiences, the externship emphasized professional development and networking. Students engaged in meaningful conversations with engineers, scientists, faculty members, and graduate researchers who described their career paths, offered advice, and discussed the many pathways available within the semiconductor industry. These interactions provided participants with valuable perspectives on careers in research, manufacturing, design, and emerging technologies.
"One of the most rewarding aspects of the externship is seeing students from different universities come together around a shared passion for innovation," says Preetha Kingsview, NMIP program administrator. "The friendships they build, the conversations they have with researchers and industry leaders, and the excitement they bring to every visit create an experience that extends far beyond the technical program."
For many students, the experience proved both transformative and inspiring. The opportunity to witness cutting-edge research firsthand while building connections with leaders across academia and industry deepened their understanding of the semiconductor ecosystem and reinforced the critical role microelectronics plays in addressing global challenges.
"For more than half a century, microelectronics has transformed the world, but I believe its most exciting chapter is only just beginning," says Tomás Palacios, the Clarence J. LeBel Professor of Electrical Engineering and Computer Science at MIT and faculty director of the NMIP Program. "From AI and quantum computing to sustainable energy and advanced manufacturing, nearly every technological revolution of the coming decades will be built on advances in semiconductor technology. Today's undergraduate students will become tomorrow's innovators, entrepreneurs, and industry leaders, and programs like the NMIP Externship help inspire and prepare them to shape that future."
By bringing together leading universities, research institutions, and industry partners, the program provides students with a comprehensive view of the semiconductor ecosystem while helping build the highly skilled workforce needed to sustain U.S. leadership in microelectronics.
The 2026 externship demonstrated the power of connecting education, research, and industry. Through a week of laboratory tours and technical presentations, it gave students a firsthand view of how scientific discovery becomes technological innovation — and inspired many to become part of the future of microelectronics themselves.
The NMIP Externship was made possible by the Microelectronics Commons Northeast Microelectronics Coalition Hub and the Microelectronics Commons Northeast Regional Defense Technology Hub (NordTech). Additional support was provided by the MIT Microsystems Technology Laboratories, the MIT Institute for Soldier Nanotechnologies, and the Semiconductor University Research Program for Superior Energy-Efficient Materials and Devices (SUPREME) Center, part of the SRC JUMP 2.0 program.
Turning molecules into reliable electronic devicesA new fabrication platform integrates molecules into electronic devices, opening the door to emerging computing technologies.Molecules are among the smallest building blocks available for making next-generation devices. Their unique, customizable properties enable promising applications in emerging computing, sensing, optical, and quantum technologies.
But integrating molecules into functional devices at scale remains a challenge. Traditional semiconductor manufacturing processes can damage small and fragile molecular materials. Now, MIT researchers have developed a scalable fabrication technique that incorporates delicate molecular materials into electronic devices on a chip without causing damage.
Their method extends the capabilities of standard semiconductor manufacturing processes to accommodate molecules. The researchers first prefabricate the device components using traditional processes. Then, they introduce the molecules and harness nanoscale surface forces to mechanically transform the fabricated device, which self-assembles without damaging the molecules.
The team demonstrated the robustness and scalability of their technique by fabricating more than 1,000 devices using sub-nanometer molecular layers.
“Our platform combines the scalability of conventional semiconductor manufacturing with the precision and control of self-assembly. This establishes a new fabrication framework for the scalable, high-throughput integration of emerging nanoscale and quantum materials, including molecules, into functional devices with architectures and capabilities that were previously infeasible,” says Farnaz Niroui, an associate professor of electrical engineering and computer science (EECS), a member of the Research Laboratory of Electronics (RLE), and senior author of a new paper describing the work.
She is joined on the paper by co-lead authors Sarah Spector and Peter Satterthwaite, EECS graduate students; Jeremiah A. Johnson, the A. Thomas Guertin Professor of Chemistry at MIT; and others at MIT. The research appears today in Nature Nanotechnology.
Building with molecules
Molecules are small clusters of atoms with structures and chemistries that can be precisely designed. This allows their properties to be engineered across a wide design space.
Once integrated into device architectures, these molecules could enable next-generation electronics and computing platforms that are smaller, faster, and more adaptable, as well as higher-performance photonic devices and emerging quantum technologies.
To build a functional system, molecular building blocks need to be integrated with other device layers. In electronic systems, a critical step is making electrical contacts to the molecules by interfacing them with metallic surfaces. However, the harsh chemicals and processes needed for traditional chip manufacturing damages these fragile molecular materials, reducing reliability and performance.
To leverage the scalability of standard fabrication techniques while achieving the precision needed for handling molecules, the MIT researchers developed a decoupled, two-step approach.
They first fabricate all the device components using standard semiconductor manufacturing, then incorporate the molecular material after-the-fact to finish building the device.
“By bringing the delicate materials into the process only after we have fabricated the main device elements, it allows us to use conventional processes that are normally not compatible with these nanomaterials,” Satterthwaite says.
In their demonstration, the researchers fabricated a scaffold with two metal electrodes separated by a precisely sized gap. Then, they deposited the molecular layer on the electrode surfaces.
Finally, the researchers leverage nanoscale forces to gently pull the top electrode onto the molecules, forming the final device in a nondestructive way. This creates a self-aligned, damage-free electrical contact to the molecules.
Using the forces
While gravity is a dominant physical force that holds our world together, different forces dominate at the nanoscale. One, called the capillary force, causes liquid to get sucked into small spaces. (Plants rely on capillary forces to draw water into their stems.)
By carefully engineering the stiffness of the electrodes, when the solution containing the molecules evaporates, capillary forces gently pull the two metal surfaces together with the molecules sandwiched in between.
Once the two electrodes are in place, the researchers must hold them in a stable state. To do so, they rely on another nanoscale force known as the van der Waals force.
Van der Waals forces cause surfaces to attract one another. By controlling the device surface area and molecules properties, the researchers ensure these forces will be strong enough to hold the electrodes in a stable structure without damaging the molecules.
“Nanoscale forces play a critical role in our approach. Instead of fabricating exactly the structures we ultimately want, we make something mechanically mobile and use forces to transform it into an architecture that would otherwise be impossible to fabricate,” Spector explains.
They used this technique to fabricate more than 1,000 devices with molecular layers less than 1 nanometer thick. Even at this tiny scale, the fabricated chips comprised a high yield of working devices, 96 percent on average. The robust devices also endured tens of thousands of electrical cycles without showing any sign of degradation.
“The stability really stands out. This is a critical feature for moving molecular devices toward practical applications, but it has been a persistent challenge in the field,” Satterthwaite says.
Importantly, this versatile technique allows circuit- and system-level integration of molecular devices, pushing the field beyond the study of isolated devices, the researchers say. They demonstrated this by building an interconnected array of molecular memory devices which could have applications in next-generation computing platforms.
Their technique can also be extended to other materials and device architectures.
In the future, the researchers want to build on this platform to investigate and develop new classes of multifunctional computing and sensing devices and systems.
“By enabling the pristine integration of emerging molecular materials and other atomic-scale matter into functional devices at scale, our platform accelerates discovery and design of these materials with tailored functionalities and their deployment in emerging technologies,” Niroui adds.
This research was funded, in part, by the U.S. Defense Advanced Research Projects Agency (DARPA), the Semiconductor Research Corporation, the U.S. National Science Foundation (NSF), the MathWorks Fellowship, and the Netherlands Organization for Scientific Research. Device fabrication was carried out, in part, using MIT.nano facilities.
Using reason, again and againPhilosopher Brian Hedden studies decision-making over time — and recently chose to return to alma mater MIT, where he is now connecting ethics and computing.You probably think you are rational. Day to day, you try to “make the best possible use of the information available to you,” as MIT philosopher Brian Hedden PhD ’12 writes in his 2015 book, “Reasons without Persons.”
If you think you are rational because of how you plan for the future, and change your beliefs over time, however, Hedden will be skeptical. Circumstances change, and when using reason, he thinks, all that matters is the present. Thus, he also writes: “The requirements of rationality should be impersonal, avoiding reference to the relation of personal identity over time.”
This is what Hedden calls “time-slice rationality,” the idea that in applying reason, we exist in little slivers of time and knowledge. There are not permanently reasonable people, just reasonable decisions.
“We are temporally extended people with hopefully long lifespans, but we’re made up of lots of different time slices,” Hedden says. “So there’s me now, me yesterday, me next year. We should think of the locus of rationality as the time slice, not the temporally extended person.”
Those past versions of you, Hedden thinks, are like teammates in sports: You are connected to them, but not quite the same person. The payoff from viewing things this way, he contends, is a more streamlined and realistic picture of our thinking.
“Time-slice rationality” helped launch Hedden’s career. Today, he is a shared faculty member between the MIT Schwarzman College of Computing and the departments of Linguistics and Philosophy and Electrical Engineering and Computer Science (EECS), and a principal investigator in the Laboratory for Information and Decision Systems (LIDS). He is also associate dean for the Social and Ethical Responsibilities of Computing (SERC) initiative. In a nod to his work, let’s examine some time slices from Hedden’s career.
Falling for philosophy
Hedden grew up in Virginia and attended Princeton University as an undergraduate, where he expected to study electrical engineering. But early on in college, he took some philosophy classes — an introductory course in logic, a history of early modern philosophy — and liked them. A lot.
“Engineering is still near and dear to my heart, but I really got into philosophy,” Hedden says.
Almost before he knew it, Hedden had found his primary intellectual interest. Upon graduating from Princeton, Hedden spent a year working for an education nonprofit in Nicaragua, but he had already decided on his next stop: graduate school in philosophy.
That led Hedden to MIT. He wanted to study the philosophy of language, and at MIT, the famous linguistics program is part of the same department as philosophy. Hedden applied to the Institute, was accepted, and arrived on campus eager to pursue his chosen field.
Lounge life
A funny thing happened to Hedden after he arrived at MIT, however: He stopped studying the philosophy of language. Blame Frank Gehry, the architect.
MIT’s Department of Linguistics and Philosophy is in the Stata Center, which opened in 2004 and was designed by Gehry to have all kinds of common spaces, including double-height lounges. After Hedden started graduate school at MIT, he got drawn into the philosophical discussions happening in these common areas. Before long, he had changed his intellectual focus.
“This was largely due to conversations that were happening in the lounge,” Hedden recalls. “The Stata Center has spaces that really encourage collaboration. A lot of people there were talking about puzzles involving probability, epistemology, and decision theory, and I found those things really stimulating, and wound up specializing in those areas. Things wouldn’t be the same if the building were differently arranged.”
Advised by MIT professors Caspar Hare, Robert Stalnaker, and Roger White, Hedden wound up writing his doctoral thesis — three papers — on rationality and decision-making. That formed the basis of “Reasons without Persons,” whose title alludes to a famous work by philosopher Derek Parfit.
While it might seem unusual to draw to draw a distinction between our past, present, and future selves, Hedden thinks we actually do that frequently, in everyday life and cultural work. In Greek mythology, Odysseus rationally chains himself to the mast of his ship, anticipating that his future self will be irrationally unable to resist the call of the sirens.
“That’s a dramatic example, but we do this all the time, like when we buy a gym membership and hope that our future selves will irrationally care about sunk costs and go to the gym to avoid having wasted the money,” Hedden says.
Heading down under
After earning his MIT PhD, Hedden spent two years as a junior research fellow at Oxford University, then landed his first faculty job in academia — at the University of Sydney, in Australia, in 2015. Five years later, he moved to Australian National University, in Canberra, leaving when he returned to MIT in 2025.
“I love Australia; I think the quality of life is amazing, the culture is great, the natural world is unbelievable,” Hedden says. The country also has, he observes, “a great philosophy scene,” fed in part by decades of interaction with American scholars.
Hedden’s work kept evolving during his decade in Australia. He started examining specific, applied topics more often, including many questions about legal processes and evidence. For instance: Should juries even deliberate? In one 2017 paper, Hedden suggested they should not, because, among other things, “deliberation destroys the independence of jurors’ judgments” in ways that can be counterproductive.
Or: Is there such a thing as “higher-order” evidence, which is evidence about what conclusions your evidence supports? In a 2021 paper, Hedden and now-MIT colleague Kevin Dorst concluded that virtually all evidence fits this billing.
Hindsight bias: Not bias
Or take another Hedden paper in this vein, from 2019, casting new light on the familiar topic of “hindsight bias.” We often alter our views about things after they happen, which can seem like gratuitous second-guessing.
Is it, though? Suppose you are investigating a railroad crash and find evidence that a crash was more likely than people imagined. That might simply be useful new knowledge. Suppose your favorite basketball team loses a game, and you reexamine why you thought they would win; perhaps a star player’s injury was more serious than you imagined. Are you changing your basic views, or just conducting a realistic reassessment?
“This is perfectly rational and what we should expect,” Hedden says. “Some people say, ‘Oh, that’s hindsight bias.’ I think it’s just a reasonable conclusion to draw.”
To be sure, in the paper itself, Hedden engages with theoretical philosophical work about evidence and view formation; much of his work bridges academic theory and practical everyday applications. Like many of his papers, this one also evinces the fun of reworking conventional wisdom.
“I do think that these contrarian views are right,” Hedden says. “But I also find a certain joy in going my own way, or having a skeptical take to get people to rethink views they’re falling into without fully realizing it.”
After an odyssey, back at MIT
After nearly a decade in Australia, Hedden received an offer to return to one of his intellectual homes: MIT offered him a place on the faculty. Arriving back at the Institute in 2025, Hedden found many things had changed — new buildings on campus, new programs — while some were recognizably the same.
“The philosophy department looks very similar in terms of the healthy culture,” Hedden says. “It’s always been known as a collaborative, high-energy place with a fantastic graduate program. And it’s really welcoming. That lounge discussion culture is still there. Sometimes cultures can be fragile. There could have been people who let it lapse. But it’s still there, and that’s great.”
Meanwhile, Hedden has added to his intellectual portfolio by becoming associate dean at SERC, a burgeoning initiative at MIT examining a wide range of civic issues around computing. SERC has supported 40 postdocs around MIT since 2022, in all five MIT schools plus the MIT Schwarzman College of Computing. It has also awarded 30 seed grants for faculty research in the last three years.
“There’s been really broad interest from faculty and students,” Hedden says. “I’m interacting a lot with computer scientists especially, but people across the Institute everywhere. The College of Computing is a unifying force.”
For that matter, the SERC Scholars program had 75 students accepted last fall, from first-year undergraduates to doctoral candidates, working on projects including surveillance, artificial intelligence, the energy impact of the sector, and more. Hedden is also making a point to develop more courses across SERC topics.
“It’s often the younger people, undergraduates and graduate students, the postdocs, the junior faculty, that gives us a constant infusion of new ideas and energy,” Hedden says. “We’re hoping to keep the momentum going.”
In this slice of time, that sounds pretty reasonable.
Building energy security through more sustainable batteriesPhD student Hugh Smith works to develop sodium-ion batteries, whose components are more abundant and accessible than those of conventional lithium-ion technology.For Hugh Smith, the challenge of building an energy-secure future isn’t about creating the world’s “best” battery. It’s about designing the right battery for the right job.
As a fifth-year PhD candidate in MIT’s Department of Materials Science and Engineering, Smith studies sodium-ion batteries, an emerging alternative to the lithium-ion batteries that power everything from smartphones to electric vehicles. By replacing expensive critical minerals like lithium, nickel, and cobalt with more readily available elements like sodium, iron, and manganese, his research aims to make energy storage both more affordable and more sustainable.
“I’ve believed for a very long time that the biggest engineering problem humanity faces is the transition to clean energy,” Smith says. “Batteries are a critical bottleneck in that transition.”
Growing up in Albany, New York, Smith was drawn to materials science because it combined two of his favorite subjects: chemistry and math. What kept him interested, however, was the field’s ability to touch nearly every aspect of everyday life.
“Anytime you interact with a solid material, there are people who intentionally designed that material for a specific purpose,” he says.
That idea of designing materials with a real-world purpose eventually led him to batteries. After earning his undergraduate degree in materials science from Case Western Reserve University, Smith came to MIT to explore how new battery chemistries could reduce costs without sacrificing performance.
Consumers often want batteries that charge quickly, last for years, store large amounts of energy, and remain inexpensive. But in reality, improving one characteristic of this technology usually means compromising another. A smartphone battery, for example, prioritizes energy density and long lifespan, while a battery storing electricity for the power grid doesn’t need to be lightweight or compact. Instead, cost and reliability become the most important considerations.
Rather than chasing an all-encompassing solution, Smith focuses on finding the right balance for specific applications, often juggling competing priorities. Instead of strengthening a singular characteristic, Smith works to maximize as many components of the battery as possible, including cost, performance, sustainability, and reliability, depending on how it will be used.
“It’s trying to balance everything,” he says. “It’s not catering extremely to some properties and then abandoning others.”
The sodium-ion batteries Smith studies could eventually provide lower-cost options for electrical grids or more affordable electric vehicles. Because sodium-ion batteries can largely be manufactured using the same infrastructure already developed for lithium-ion batteries, they also offer a potentially smoother path toward commercialization than many emerging battery technologies.
Smith’s graduate school journey has been defined as much by the process of learning how to do research as by the science itself. He joined a brand-new research group at MIT as its first graduate student, and helped establish the lab run by Professor Iwnetim Abate. Without senior graduate students or postdocs to turn to for day-to-day guidance, he often had to teach himself new techniques and how to troubleshoot when things went wrong.
“I learned not to be fearful of new things,” Smith says. “Just because I didn’t know how to do something didn’t mean I couldn’t figure it out.”
He says the experience transformed him into a more independent researcher and someone who is willing to dive headfirst into unfamiliar problems.
Before beginning graduate school, Smith spent seven months at the Battery Innovation Center in Newberry, Indiana, an experience that broadened his understanding of how scientific discoveries become real technologies. Working alongside materials scientists, chemists, mechanical engineers, and chemical engineers showed him that no single discipline can solve the challenges of battery development alone.
“It requires a huge team effort,” Smith says. “It requires a lot of different types of knowledge.”
He says the experience also helped him better understand where his own expertise could make the greatest impact and when collaboration across disciplines is essential.
Outside the lab, Smith makes time to stay active through MIT’s intramural sports program, where he plays soccer, ultimate frisbee, football, and volleyball on teams with fellow graduate students. The games offer a chance to unwind after long days of research while strengthening the friendships he’s built throughout graduate school. He also enjoys fishing around the Boston area with friends and exploring New England’s coastal towns, museums, and historic sites.
As he prepares to graduate in the winter and pursue a career in battery research and development, Smith hopes to continue designing technologies that support the transition to clean energy.
“Lots of smart people have already made wind and solar very cheap,” Smith says. “The issue is reliability, and batteries can help solve that problem. I hope the work I’m doing helps to affordably unlock the transition to an electric grid powered by reliable clean energy, and an electrified transportation network.”
Daniela Rus receives Bavarian Minister-President's High-Tech PrizeDirector of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.Daniela Rus, director of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Panasonic Professor of Computer Science, has received the 2026 High-Tech Prize of the Bavarian Minister-President for her contributions to robotics, artificial intelligence, and autonomous systems.
Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is the most highly endowed award for technology and engineering in Germany. Rus accepted the prize on July 23 at the Herkulessaal of the Munich Residence.
The selection committee cited four strands of her work: self-organizing robot collectives, soft robotics, autonomous mobility, and brain-inspired artificial intelligence. Together they describe a 30-year effort to build machines that hold up outside the lab, in conditions no one scripted in advance.
That effort has arrived at a moment when physical AI has become a preoccupation for industry leaders and policymakers alike. When human-robot collaboration comes up, the examples tend to be household chores or the factory floor. Rus is working several orders of magnitude wider than that, developing algorithms and systems that put autonomous robots into transportation, agriculture, medicine, the home, and environmental monitoring. She is also a pioneer of soft robotics, where compliant machines manipulate the world more safely and adapt to it more readily than rigid ones can.
Her emphasis throughout has been on giving robots the intelligence to reason and adapt in the real world, through algorithms whose behavior can be explained.
"AI gives machines the ability to do work that humans don't want to do," she says. "It's not a battle between humans and machines. Both form a system that solves problems that neither humans nor machines can solve alone."
At CSAIL she leads the Distributed Robotics Laboratory, where that principle has produced some unusual solutions to durable problems. Her group helped build an ingestible origami robot capable of retrieving swallowed button batteries from a child's digestive tract, and a fleet of small autonomous boats that assemble themselves into bridges and platforms, turning a city's waterways into infrastructure that can be reconfigured on demand.
She also helped invent liquid neural networks, an architecture inspired by the compact nervous system of a millimeter-long worm. The networks can steer a vehicle through an unfamiliar environment using as few as 19 control neurons, a level of efficiency that conventional architectures cannot approach. The research led Rus and former CSAIL affiliates Ramin Hasani, Alexander Amini, and Mathias Lechner to found Liquid AI out of MIT CSAIL, building models designed from the start for the hardware constraints of the devices they run on.
"Daniela Rus is a pioneer in soft robotics and physical AI," noted Lorenzo Masia, professor of intelligent bio-robotic systems at the Technical University of Munich, in a press release. "The prize will help to bring this science to the forefront."
Rus' previous honors include the 2025 IEEE Edison Medal and the 2024 John Scott Award. She is a member of the 2002 class of MacArthur Fellows and has been elected to the French National Academy of Medicine, the National Academy of Engineering, and the American Academy of Arts and Sciences. She is a fellow of the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and the Association for the Advancement of Artificial Intelligence.
Connecting research to policy on Capitol HillMIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.This spring, 25 MIT students and postdocs traveled to Washington to meet with congressional staffers and advocate for sustained federal investment in scientific research.
With recent cuts to National Science Foundation programs and continued uncertainty surrounding the federal research budget, these conversations were especially timely. Over the course of just two days, participants met with 62 congressional offices representing 32 states to discuss the importance of federal support for scientific research, higher education, and other policy concerns related to their individual research areas.
Each spring, the MIT Science Policy Initiative (SPI) organizes Congressional Visit Days (CVD), a program that introduces graduate students and postdocs to the federal policymaking process while demonstrating the many ways scientists can engage in policy advocacy. In addition to meeting with congressional offices, participants connect with Washington-based MIT alumni and members of the MIT Washington Office to learn about careers at the intersection of science and public policy.
This year's CVD was co-organized by Audrey Parker, a PhD student in civil and environmental engineering at MIT, and Ian Robertson, a PhD student in physical oceanography at MIT and the Woods Hole Oceanographic Institution (WHOI). Robertson reflects on the experience:
"Having attended the trip as a participant last year, stepping into the role of a co-leader this year was a big commitment that was well worth the payoff. It was rewarding to build on the work of past leaders, strengthening the CVD experience for participants by training and encouraging them to discuss not just general science funding advocacy in their meetings, but also specific policies tied to their research. I look forward to the future success of the CVD program in continuing to provide students and postdocs a template for science policy conversations with Congress and helping them realize the various avenues in which they can connect research to policy throughout their careers."
To prepare for the trip, participants attended three training sessions led by SPI in collaboration with the MIT Washington Office and the MIT Policy Lab. These sessions provided background on the federal appropriations process, the role of congressional staff in shaping legislation, and practical strategies for communicating scientific expertise to policymakers. The training sessions also gave participants a chance to practice sharing their research and policy pitches with each other in mock "Hill meetings."
While on the Hill, students advocated for both general science funding for the upcoming fiscal year as well as specific policies tied to their research in artificial intelligence, environmental science and engineering, energy, space, and health. They encouraged offices to edit language in bills, support bills already on the floor, or sponsor new bills. Staffers on both sides of the aisle were particularly interested in discussing AI privacy and security across disciplines. They also expressed strong interest in hot environmental topics, such as deep-sea mining, and were eager to learn more about its associated environmental consequences. In many cases, conversations about participants' research and science-based policy priorities reinforced the need for continued federal funding of science, enabling staffers to connect abstract funding decisions with the researchers and projects they support.
The experience proved valuable for both the MIT delegation and the congressional offices they visited. Rodrigo Zuniga, a first-year PhD student participant, highlights:
"Going to Washington, D.C., offered a whole new perspective of the role of science in politics for me. In today's news and social media landscape, it's really easy to see Washington as irreversibly polarized, but in talking to staffers from both the majority and minority parties, I saw a general desire for bipartisanship and widespread support for science. What's most clear to me after this experience with CVD is that there is a lot of room and pressing need for humans with scientific training and expertise to participate proactively in local, state, and federal government."
As scientific and technological issues continue to shape public policy, opportunities for researchers to engage with policymakers have never been more important. Programs like Congressional Visit Days help equip the next generation of scientists with the knowledge and confidence to communicate the value of research beyond the laboratory, strengthening connections between the scientific community and the policymakers whose decisions shape its future.
Why some nitrogen-processing enzymes are more efficient than othersNew findings could help researchers design synthetic catalysts that convert nitrogen gas to ammonia, a key step in fertilizer production.Nitrogen gas is abundant in Earth’s atmosphere, but most living organisms can’t readily use this nitrogen. Only a subset of microbes that have enzymes known as nitrogenases can break nitrogen gas apart and convert it into ammonia.
There are three different classes of nitrogenases found in nitrogen-fixing microbes, which vary based on the types of metal that they contain. Nitrogenases that contain the metal molybdenum are the most efficient, and two new studies from MIT offer an explanation for why that is.
The findings could help guide the design of engineered enzymes or synthetic catalysts that can convert nitrogen gas to ammonia, the researchers say.
The team found that while molybdenum doesn’t directly bind to nitrogen, it helps nearby iron atoms bind to nitrogen more strongly. This is a critical first step in breaking the bond between the two nitrogen atoms that form nitrogen gas.
“It’s that initial binding step that’s really the hard part. Once you’ve started to break the nitrogen-nitrogen triple bond and make some new nitrogen-hydrogen bonds, it’s pretty easy to get the rest of the way,” says Daniel Suess, the Arthur Amos Noyes Associate Professor of Chemistry at MIT and a senior author of both papers.
MIT postdoc Tong Wu and former postdoc Madeleine Ehweiner are the lead authors of one of the papers, and Alexandra Brown PhD ’23 is the lead author of the other. Kyle Lancaster, a professor of chemistry at Cornell University, is a senior author of the latter paper, along with Suess. Both papers appear today in the journal Chem.
Efficient enzymes
Before microbes evolved the ability to fix nitrogen around 3 billion years ago, the strong triple bond between atoms of N2 could only be split with high-energy events such as a lightning strike.
“Once an enzyme came along that could convert dinitrogen to ammonia, that changed the game because now cells could harvest nitrogen from the air for biomass,” Suess says.
Within the active site of nitrogenase is a catalytic cofactor that typically consists of a cluster of iron, sulfur, carbon, and in some cases another metal. Nitrogenases whose cofactors contain molybdenum are the most efficient, followed by those containing the metal vanadium. Nitrogenases that don’t have any metal other than iron are the least efficient.
Why the molybdenum-containing enzyme is more efficient has been a puzzle, especially because it’s thought that molybdenum itself doesn’t bind directly to nitrogen gas.
“In all cases, iron is thought to interact with N2, so it’s a bit of a mystery,” Suess says. “If all the chemistry is happening at iron, why is it that this molybdenum is affecting catalysis?”
To answer that question, Suess’s lab has developed simpler versions of iron-sulfur clusters that they can use to model the naturally occurring cofactors. These can be modified by adding different metal atoms, allowing the researchers to study how those metals change the cofactors’ properties.
In the first paper, led by Wu and Ehweiner, the researchers swapped in different metal atoms and then measured the ability of the iron in the cofactor to bind to nitrogen. They found that only cofactors with a large metal atom, such as molybdenum or tungsten, were able to strongly bind N2. With vanadium, chromium, or iron, which are smaller, the cofactors did not bind N2 and performed other reactions instead.
“That paper essentially recapitulates what you see in biology, which is that the iron-sulfur clusters that have molybdenum in them seem to be better at binding dinitrogen than those with lighter metals,” Suess says.
Sharing electrons
In the second paper, led by Brown, the researchers uncovered a possible mechanism that explains that phenomenon.
In that paper, the researchers studied how cofactors containing different metals interact with compounds called N-heterocyclic carbenes. These molecules behave similarly to N2 in some ways, making them a good model for this type of study. Like N2, they are resistant to accepting any electrons from another molecule, which is an essential step to breaking chemical bonds.
The researchers found that when molybdenum was included in the cluster, it became easier for iron to donate some of its electrons to the N-heterocyclic carbenes, in a process known as back-bonding. This occurs because molybdenum, a large atom, has large orbitals that can overlap with the orbitals of the nearby iron atom. That alters iron’s electron density in ways that make it easier for iron to pass electrons to N2.
“Without these direct metal-metal interactions, the iron has to do all the work, but adding the molybdenum allows for this electronic cooperativity,” Suess says.
Once N2 is bound to an iron atom, the rest of the reaction can proceed. A proton can come in from water or another source to create an N-H bond, which then makes it much easier for the remaining N-N bonds to be broken and bind to protons, forming NH3.
The findings could help guide scientists who are working on designing enzymes that could be engineered into organisms that help them generate their own NH3, eliminating or reducing the need for fertilizer. The results could also help chemists to design synthetic catalysts that could produce ammonia industrially, using less energy than the Haber-Bosch process.
“The general principle is that you can make an iron site in any context behave differently when you have these metal-metal interactions than when you don’t have these interactions,” Suess says. “The primary result of these findings is to teach us about the natural world and how nature accomplishes this really important and miraculous reaction. And, maybe that can be translated into new processes.”
The research was funded primarily by the U.S. Department of Energy, the National Science Foundation, and the National Institute of General Medical Sciences.
MIT and Broad Institute researchers break diffraction barrier in super-resolution microscopyNew U-STORM imaging technology lets scientists view molecular structures in subatomic detail — about 1,000 times clearer than traditional dyes — while making the microscope process much simpler.Researchers in the lab of Sam Peng, the Pfizer Inc. - Gerald Laubach Career Development Assistant Professor of Chemistry at MIT and a core institute member of the Broad Institute of MIT and Harvard, have developed a groundbreaking super-resolution imaging technology that allows scientists to visualize molecular structures with sub-angstrom-level localization precision — three orders of magnitude beyond the nanometer limits of standard fluorescent dyes — while drastically simplifying the imaging process.
Unlike traditional dyes that fade rapidly under illumination and limit data collection, the platform, called U-STORM (Upconversion enabled Stochastic Optical Reconstruction Microscopy) utilizes a new class of compositionally engineered upconverting nanoparticles (UCNPs) that blink spontaneously and indefinitely.
This work represents a fundamental shift in both optical materials and biological imaging. An open-access description of the study was published July 27 in Nature Nanotechnology.
Overturning a decades-old paradigm
For decades, the scientific community widely considered upconverting nanoparticles to be completely photostable and non-blinking. Because localization-based super-resolution microscopy techniques like STORM rely entirely on the stochastic “blinking” (switching between “on” and “off” states) of light emitters to distinguish closely packed molecules, UCNPs were historically deemed unsuitable for this type of imaging.
“Our laboratory has long been interested in overcoming these limitations,” says Peng. “Our work began with a question: Can we develop a super-resolution imaging platform that is simultaneously long-term, multicolor, simple to operate, and capable of achieving extremely high localization precision without using imaging buffers or additional optical control?”
By meticulously controlling nanoparticle composition, the MIT and Broad Institute team discovered that these small (~10nm) core-shell particles could actually be coaxed into spontaneous blinking under continuous near-infrared excitation. Remarkably, this blinking behavior continues indefinitely without the need for complex imaging buffers, oxygen scavengers, or external optical modulation.
U-STORM’s key breakthroughs
An angstrom is a tiny unit of measurement used by chemists to measure size and distances at the atomic level. U-STORM’s ability to blink indefinitely has afforded researchers the opportunity to collect over 88,000 localization events from the same particle, sharpening the localization precision down to an unprecedented 0.6 Å.
Unlike conventional multicolor super-resolution imaging, which requires multiple expensive lasers and meticulous optical alignment, U-STORM can operate with just one near-infared laser, which works to simultaneously excite nanoparticles emitting different colors. This results in a drastic reduction of an experiment’s complexity.
To obtain images with multiple colors, rather than capturing images sequentially over multiple rounds, U-STORM captures multiple colors simultaneously. Researchers have successfully demonstrated this by mapping epidermal growth factor receptor dimers and multimers in biological samples under physiological conditions without any specialized imaging buffers.
Broader impact
Beyond expanding the boundaries of microscopy, this research establishes an entirely new design principle for lanthanide nanomaterials. The team is already working to expand the color palette, make the particles even smaller and brighter, and deploy U-STORM to investigate complex nanoscale protein organizations and cellular signaling pathways.
Ultimately, U-STORM promises to provide laboratories worldwide with an accessible, easy-to-implement, yet incredibly powerful route toward high-precision molecular imaging.
How a medical database developed at MIT evolved into a global standard of data-sharingThe visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.Before the advancement of scientific data storage and collaboration via the cloud, medical investigators seeking health research breakthroughs had to overcome significant obstacles to collaboration and key clinical data gathering.
Data were siloed and difficult to distribute, so those looking to undertake research had no option but to gather them themselves. This not only made research more expensive, but it was challenging to compare findings across datasets.
In 1975, researchers studying arrhythmias at MIT and Boston’s Beth Israel Hospital envisioned another way: the team began collecting and digitizing electrocardiogram recordings with the intention of not only studying them, but of also making them available to the wider research community.
The team built their own computers for the process, painstakingly duplicated tapes one by one, and created more than 100,000 annotations for the recordings. The process took years, but by summer 1980, the tapes were finally ready. The team initially thought their tool would reach fewer than a dozen academic and industry groups. But interest kept pouring in. Over the next decade, they went on to mail about 100 copies.
The data eventually became the first database of the global platform PhysioNet — founded in 1999 at the Harvard-MIT program in Health Sciences and Technology — as a clinical data repository for complex physiological signals.
At the time, that type of data-sharing, which may seem like the default today, was a near-revolutionary idea. PhysioNet’s “founding was incredibly visionary,” says Thomas Heldt, Richard J. Cohen (1976) Professor in Medicine and Biomedical Physics, associate director of MIT’s Institute for Medical Engineering and Science, and the senior author of a recent paper in Nature Health examining the platform’s impact.
Eventually, those magnetic tapes sent through the mail became burned CD-ROMs, which then evolved into FTP servers hosted on the newly minted internet. Today, as PhysioNet looks back at over 25 years of operation, the platform hosts hundreds of databases, and has become one of the most comprehensive biomedical and clinical data repositories in existence. Last year, more than 15,000 scientific publications cited PhysioNet, and users from more than 180 countries have registered on the platform. It is widely used by researchers, manufacturers, and clinical decision-makers.
“The research impact is truly significant,” says Heldt, who is also a professor in the MIT Department of Electrical Engineering and Computer Science and a principal investigator at the Research Laboratory of Electronics, “and quite humbling.”
“It is really beautiful to see that such a vision has proven right and so enabling for so many people.”
Setting a standard
Around 2009, a PhD student named Tom Pollard was conducting research on critically ill patients at one of London’s leading hospital systems. Although the hospital generated large volumes of valuable clinical data, the infrastructure and processes needed to curate and support their wider research use were still developing.
“Hospital data were collected primarily to support immediate patient care, with less attention given to how they might be curated and reused for research,” says Pollard, now a research scientist at MIT’s Laboratory for Computational Physiology (LCP), technical director of PhysioNet, and the lead author on the Nature Health paper.
The problem was not simply privacy. Hospital information systems were built primarily to support patient care and administration, not research. Data were fragmented across systems and rarely curated with future reuse in mind, making it difficult and expensive to turn them into coherent research resources.
But Pollard needed data to complete his dissertation. After poking around on the internet, he eventually discovered the Medical Information Mart for Intensive Care (MIMIC), a database of de-identified electronic health records hosted by PhysioNet. Recognizing its potential, his clinical supervisor, Kevin Fong, organized a visit to Boston. Soon afterward, Fong and Pollard were sitting across the table from Roger Mark, discussing how their teams might collaborate.
Academic incentives have long favored publications and exclusive analyses over the less-visible work involved in preparing data for others to use. That tension persists today. PhysioNet’s founders embraced a different model, believing that sharing research resources could accelerate discovery and ultimately improve human health, he says. MIMIC became central to Pollard’s dissertation, and after completing his PhD, he came to MIT to help build the next generation of the database.
In the years since PhysioNet was established, the value of sharing research data has gained much wider recognition. The late Roger Mark, MIT’s distinguished professor of health sciences and technology emeritus and one of PhysioNet’s founders, described its purpose as building an “accessible multinational community around data” to “positively impact global health.”
Earlier this year, Mark and the late George Moody, PhysioNet’s co-founder, jointly received the prestigious IEEE Biomedical Engineering Award for their contributions to PhysioNet and biomedical signal processing. IEEE cited their “leadership in ECG signal processing and global dissemination of curated biomedical and clinical databases, thereby accelerating biomedical research worldwide.”
The source code for the platform, like much of its data, is public. According to the Nature piece: “As the platform evolved, PhysioNet’s community broadened substantially beyond its origins in signal processing and cardiovascular health to encompass clinical informatics, critical care and machine learning for health.” People have used that to build their own PhysioNet-esque infrastructure, says Heldt. Pollard points to similar platforms like Health Data Nexus as examples of PhysioNet’s legacy.
Although there are now more resources out there hosting similar electronic health data, according to Google DeepMind researcher Vivek Natarajan, both PhysioNet and MIMIC “set the standard,” he says, “and it’s still the standard right now.”
That standard, according to those who use the platform, changed how research is conducted. Access to data should not be the determinant for which ideas are possible, according to Ziad Obermeyer, an associate professor at the University of California at Berkeley School of Public Health and the College of Computing, Data Science, and Society.
“PhysioNet changed how I think about the bottleneck in research. It is often not ideas or talent. It is friction. When access to data is slow, expensive, and hard, the ideas that die first are the high-risk ones, the things that probably will not work, but would be transformative if they did. That is exactly the wrong model if you want real progress,” he says. “PhysioNet lowers the fixed cost of trying ambitious ideas, and that changes what science becomes possible.”
The AI boom
PhysioNet, once a repository mainly for those working in biomedical signal processing and the health-care fields, has evolved in its 25 years. Originally, the holdings consisted solely of cardiovascular ECG data. Now PhysioNet is a largely a source for electronic health records, imaging data, and software and AI models.
Particularly as artificial intelligence approaches took off, “the community shifted,” Heldt explains. Those in need of signal processing data still use PhysioNet databases, but the pool of users has expanded to encompass staff at large tech companies, teachers, and practitioners in all areas of medicine, as well as researchers in health-related machine learning and AI. Today, that latter group “dominates the user community,” says Heldt.
The platform hosts the highest-quality datasets available for health-care AI research, according to Natarajan, whose research involves AI, science, and medicine and who has published several papers that used its datasets.
“It has been an important cornerstone that has catalyzed all the progress in health-care AI over the last decade,” says Natarajan. In addition to using PhysioNet data, he and his colleagues have contributed data to the platform, helping create the self-sustaining ecosystem that typifies PhysioNet.
Looking toward the coming decades, stewards of the platform like Heldt and Pollard envision continuing to expand its reach with an annual conference. The team is also preparing to pilot a new system that will allow users to annotate data and contribute their own expertise, enriching PhysioNet’s resources for the next phase of the platform.
“The kind of research that people want to do now needs to be interdisciplinary. Statisticians, computer scientists, clinicians, pharmacists, and nurses must all come together and contribute their knowledge to develop algorithms that are useful for people” says Pollard. “The community has broadened, and advances in AI have expanded both the questions researchers can address and what they believe is possible.”
Professor Emeritus Robert Cohen, pioneering polymers researcher and devoted mentor, dies at 79Architect of MIT’s interdisciplinary Program in Polymers and Soft Matter and the PhD in chemical engineering practice is remembered for his passion for mentorship and education.Robert E. Cohen, the Raymond A. (1921) and Helen E. St. Laurent Professor of Chemical Engineering, Emeritus, whose pioneering research helped shape the fields of polymers and soft matter while inspiring generations of students, passed away peacefully on July 9 following a long battle with Parkinson's disease. He was 79.
"Bob Cohen was an innovator in every sense of the word: in his research, his approach to mentorship, and in every aspect of our community at MIT," says Kristala Prather '94, the Arthur D. Little Professor and head of the Department of Chemical Engineering (ChemE). "Bob combined extraordinary intellect with remarkable humility. As a teacher, colleague, advisor, and friend, he had a gift for making people feel respected, valued, and heard. That generosity shaped every part of his work and inspired everyone fortunate enough to know him."
During more than four decades at MIT, Cohen continually reimagined how chemical engineering students should be educated. Recruited for his expertise in polymer science, he brought to MIT the polymer laboratory course he had developed during his postdoctoral work at the University of Oxford, establishing class 10.467 (Polymer Science Laboratory). The rigorous undergraduate course introduced generations of students to polymer synthesis, physical chemistry, and the evaluation of mechanical properties through hands-on experimentation.
In 1986, Cohen founded the Program in Polymer Science and Technology, now known as the Program in Polymers and Soft Matter (PPSM). Recognizing that advances in polymer science require expertise spanning chemistry, physics, engineering, and materials science, he created one of MIT's first truly interdisciplinary graduate programs. PPSM continues to prepare doctoral students to tackle complex challenges across the broad field of polymers and soft materials.
"Bob Cohen is the reason I returned to MIT as a graduate student," says Paula Hammond '84, PhD '93, Institute professor, dean of the School of Engineering, and a PPSM alumna. "His vision for multidisciplinary polymer education was unlike anything I had experienced. I benefited from him as a teacher in the classroom, as a member of my thesis committee, and a life-long mentor. As a department head, I saw firsthand the extraordinary impact he had on generations of students and on the field itself."
Cohen also conceived the unique PhD in chemical engineering practice (PhDCEP) degree, recognizing that future leaders in chemical engineering would benefit from combining advanced research with industrial experience and business education. The first and only program if its kind, the PhDCEP program integrates coursework, MIT's renowned David H. Koch School of Chemical Engineering Practice, doctoral research, and study at the MIT Sloan School of Management.
Cohen also founded and directed the DuPont/MIT Alliance from 2000 to 2012, creating a highly successful partnership that brought together researchers from MIT and DuPont to develop innovative materials and manufacturing technologies. The collaboration advanced research in bioelectronics, biomimetic materials, alternative energy, and metabolic engineering, while fostering lasting collaborations across disciplines.
Cohen was a prolific collaborator whose pioneering research established him as one of the world's leading chemical engineers. His contributions include omniphobic surfaces, block copolymer nanoreactors for inorganic cluster synthesis, tough-stiff nanocomposites, chain folding in confined geometries, and layer-by-layer assemblies at the biotic-abiotic interface. Yet when asked about his proudest accomplishments, he rarely pointed to his scientific discoveries. Instead, he spoke about his students, and took immense pride in watching many former PhD students go on to become faculty members and leaders at top institutions around the world.
Raised in Oil City, Pennsylvania, Cohen developed an early appreciation for chemical engineering. After earning his master's and doctoral degrees from Caltech and completing a postdoctoral fellowship at the University of Oxford, he joined the MIT faculty in 1973. Over the next four decades, he became internationally recognized as a groundbreaking researcher, educator, entrepreneur, and mentor.
Cohen was a member of the National Academy of Engineering and the American Academy of Arts and Sciences, as well as a fellow of the American Institute of Chemical Engineers, the Polymer Division of the American Chemical Society, the American Physical Society and the Materials Research Society. Cohen co-founded MatTek Corp., helping translate advances in biomaterials into practical applications.
Although Cohen received many prestigious honors throughout his career, he often said the award that meant the most to him was the inaugural Paul J. Flory Polymer Education Award, presented by the American Chemical Society in 2012. The honor recognized his leadership in building the interdisciplinary PPSM program and transforming undergraduate polymer education. Fittingly, it celebrated what he valued most: helping students discover their potential.
Cohen is survived by his beloved wife, Jane; his son, Eliot Cohen, his wife Jacqueline Aldred Cohen, and their children Ada, Brennan, and Callan; his daughter, Genevieve Cohen, and her daughter Emma; his sister, Nancy Stein, and her husband Herb; sisters-in-law Lee Woodman and Betsy Woodman; brother-in-law Wally Coleman; and many beloved nieces and nephews.
A memorial service is scheduled for Oct. 17 at the MIT Chapel. In lieu of flowers, donations may be made in Cohen’s memory to the Michael J. Fox Foundation.
Yu Deng ’11 and Hong Wang PhD ’19 awarded Fields MedalMIT-trained mathematicians earn the honor, one of the most prestigious in the field, for their significant achievements.MIT alumni Yu Deng ’11 and Hong Wang PhD ’19 were among the four young mathematicians awarded Fields Medals on July 23 at the 2026 International Congress of Mathematicians (ICM). The other two honorees were John Pardon and Jacob Tsimerman.
The Fields Medal is awarded once every four years at the ICM, and is regarded as one of the highest honors a mathematician can receive.
Yu Deng received his BS in mathematics at MIT in 2011, and was a Putnam Fellow in 2010. He earned his Fields Medal for his work in partial differential equations (PDE), including the rigorous derivation of the Boltzmann equation from hard-sphere dynamics for rarefied gases, the derivation of wave kinetic equations from nonlinear dispersive systems, and probabilistic approaches to nonlinear Schrödinger dynamics. His first published paper (in Analysis & PDE) was on the latter topic, and stemmed from summer research conducted at MIT on a problem suggested by Abby Rockefeller Mauzé Professor of Mathematics Gigliola Staffilani. Deng is currently a professor at the University of Chicago.
Hong Wang received her PhD at MIT in 2019 under the supervision of Larry Guth PhD ’05, the Claude E. Shannon Professor of Mathematics. She is awarded the Fields Medal for her work in harmonic analysis and geometric measure theory, including applications of multiscale and decoupling techniques to the local smoothing conjecture for the planar wave equation, and other major advances such as the solution of the Kakeya problem in three dimensions (with Joshua Zahl). As a student in the department, she was a graduate mentor in the Summer Program in Undergraduate Research (SPUR) and, alongside her mentee, was awarded the Hartley Rogers Jr. SPUR Prize, presented to the best student-mentor team. Wang, a Silver Professor of Mathematics at New York University and a professor at the Institut des Hautes Études Scientifiques in Paris, is the third woman ever to win a Fields Medal.
“The achievements of Yu Deng and Hong Wang are truly monumental, and we are all elated that they were awarded Fields Medals,” department head and RSA Professor of Mathematics Michel Goemans says. “Their success is a testimony of the amazing mathematical talent we have at all levels at MIT, and the top-quality education, mentorship, and research opportunities we provide to both our large pool of math majors and our PhD students, during their lifelong mathematical journey.”
Goemans adds, “MIT is a unique and exciting place to learn mathematics, and I am sure we have more future Fields medalists among our students and junior members of the department.”
Making robots faster by helping them think aheadBy planning actions based on the future position of a robot, the VLASH technique streamlines motions and accelerates performance.A new method developed by MIT researchers makes robots better at thinking ahead while they are acting, leading to smoother motions and quicker reactions.
This technique enables the artificial intelligence model that plans a robot’s motion to forecast its future position. The model uses this prediction to seamlessly transition current movements into the next actions.
Many existing methods cause a robot to stop and think about what it needs to do next, leading to slow and jerky motions. By basing its calculations on the future state of the robot, rather than its current position, the MIT method helps robots operate much faster.
Importantly, the technique does not add any computational overhead to the planning process and can be applied to varied robotic hardware.
This new method doubled the speed of robots performing activities like pick-and-place tasks, while significantly reducing lag time between motions. It also boosted the performance of robotic arms in highly dynamic activities, such as playing table tennis and Whack-a-Mole.
The system could be especially useful for robots that perform fast and agile maneuvers in challenging real-world environments, like emergency response or search-and-rescue. It could also allow robots to react more quickly when recovering from mistakes.
“This work sets up a good foundation for efficient, fast, accelerated, and low-cost robotics applications. We look forward to expanding our work into the latest world action models, so it has even stronger capabilities as we keep pushing to make physical AI faster,” says Song Han, an associate professor in the MIT Department of Electrical Engineering and Computer Science (EECS), member of the Research Laboratory of Electronics, and lead author of a paper on this method.
Han is joined on the paper by co-lead authors Jiaming Tang, an MIT EECS graduate student, and Yufei Sun, a student at Tsinghua University; as well as others at Nvidia, the University of California at Berkeley, the University of California at San Diego, and Caltech. The research will be presented at the Intelligent Robots and Systems Conference.
Forecasting the future
In state-of-the-art robotics applications, generative AI systems called vision-language-action (VLA) models act as the brain of a robot, planning its next moves and executing those actions.
A VLA model takes environmental observations from the robot’s camera and instructions about its task, outputs the next few motions as one chunk of actions, then executes those actions on the robotic hardware.
But VLA inference — the real-time procedure during which the model processes visual inputs, reasons about the task, and outputs actions — is computationally demanding, so the robot can experience substantial pauses while planning its next actions. These pauses disrupt the fluidity of its motions and make it slower to react to changes in the environment.
“Our motivation was to overlap the thinking process with the execution process to make the reaction speed faster,” Tang says.
The MIT researchers developed a new system called VLASH that enables a VLA to predict the future state of the robot and its environment. It uses this information to plan the next set of motions while the robot is completing the current action chunk.
This solves a major hurdle faced by many other methods, which use the current state of the robot to predict its next moves.
“Since the environment will change after the robot moves, if we plan based on stale observations of the current environment, there will be a misalignment that causes very unstable control,” Tang explains.
VLASH avoids this misalignment due to a key insight by the researchers. Although the model doesn’t know exactly what the environment will look like in the future, it does know the robot’s current position and how it will move to perform the actions it is about to take.
The framework uses this information to predict the state of the robot after it completes its current chunk of actions. It uses that estimation to plan the next motions.
“In this way, we give the robot awareness of its future state,” Tang says.
Augmenting acceleration
On its own, this technique speeds up the robot’s motions by eliminating lag time that usually occurs between action chunks, accelerating reaction speeds more than 30-fold.
But to make their approach even faster, the MIT researchers generate coarser chunks of actions, so the robot executes a few larger steps that follow the same trajectory. This technique is called action quantization.
While action quantization led to a slight dip in accuracy, it enables a robot to complete the overall task two to three times faster.
However, the researchers found that simply feeding future robot states to the VLA during deployment is not enough to enable accurate and stable control of the robot.
They developed a training-augmentation method that groups training data in such a way that the VLA learns to use future state information instead of current observations.
By reusing some training data, this fine-tuning method accelerated training fivefold with no additional computational overhead.
“Even though there is a very large model working in the background, VLASH lets the robot react and execute its actions very fast, much more like a human would. This could help to make robots for all sorts of dynamic tasks more effective,” Tang says.
When compared with baseline methods in simulation, VLASH consistently performed faster while maintaining the accuracy of robotic maneuvers. The system also outpaced these methods on real hardware in pick-and-place, stacking, and sorting tasks.
For instance, VLASH placed cubes in a box while sorting them by color twice as fast as these methods, while achieving the same 90 percent accuracy as the best baseline. The system can also perform highly dynamic tasks like playing ping-pong and whack-a-mole.
In the future, the researchers want to combine VLASH with more powerful generative AI systems called world models that can predict the robot’s actual environmental observations, in an effort to boost performance and open new applications.
This work is supported, in part, by the MIT-IBM Computing Research Lab, Amazon, the National Science Foundation, and Nvidia.
MIT engineers design recyclable elastic yarn Melt it, spin it, use it again. This new recyclable yarn is as strong and stretchy as spandex-based yarns.After a closet cleanout, what options are there for recyling our old threads? Not many. Apart from bringing used clothes to a donation center, there is no process for recycling textiles like there is for bottles and cans. And, the average American throws out around 81 pounds of clothing each year. That amounts to more than 11 million tons of textiles that end up in the landfill or incinerator.
But MIT engineers hope to cut down on the growing mountain of textile waste, with a new, recyclable yarn.
The team has designed a yarn made from a form of plastic that is commonly used in milk bottles and grocery bags. The new yarn, which has a feel similar to traditional sewing thread, can be woven into stretchy, lightweight clothing. The researchers say that at the end of its use, a yarn-spun garment could be melted down and redrawn into new yarn, and then woven into new clothing or even cast into buttons, belt buckles, and other plastic accessories.
To demonstrate the yarn’s recyclability, the researchers spun a spool of yarn, melted the yarn down, and respun it into new yarn, multiple times. They found that even after 10 cycles, the yarn was as strong and flexible as conventional thread.
They envision the new yarn could be an alternative to elastic spandex-polyester or spandex-nylon yarns, which are spun from a combination of fibers that cannot be recycled together. The team’s new yarn, in contrast, is made from a specific combination of plastic materials that mimics the tough and stretchy properties of spandex yarns, while also being easily recycled.
“Eighty percent of textiles on the U.S. market currently contain some amount of spandex, which makes them nonrecyclable,” says Svetlana Boriskina, a research scientist in MIT’s Department of Mechanical Engineering. “There’s no widely adopted technology now that recycles textiles into textiles. With our new yarn, we hope to change that.”
Boriskina and her colleagues have published the details of the new yarn in a study published in the journal ACS Materials Letters. MIT co-authors include first author SeongHyeon Kim, Duo Xu, Volodymyr Korolovych, Domingo Flores-Hernandez, Kaniz Moriam, and Daniel Braconnier.
The core of the problem
Spandex is a polyurethane-based synthetic fiber that is springy but not very strong. A thread of an elastic yarn is made from two parts: a spandex-based core, surrounded by a sheath of tough polyester or nylon. The combination of these materials gives elastic yarns their unique stretch and strength.
But this same material mixture makes elastic yarns nearly impossible to recycle. Yarns would first have to be chemically treated to separate the polyester sheath from the spandex core. The polyester-based sheath material could then be melted down and reused. But there is no way to recycle the yarn as a whole, without chemical separation.
“Even though chemical separation technologies exist, they add extra cost and complexity, and usually require toxic chemicals that are harmful to the environment,” Boriskina says. “That’s why most stretchy garments go to the dump.”
In 2021, Boriskina’s group developed a new type of yarn made from polyethylene. Polyethylene is the most common type of plastic in the world, used to make everything from grocery bags, water bottles, trash bins, and toys to industrial pipes and plastic sheeting. Polyethylene is a thermoplastic, meaning that it can be melted down and remade, and thus recycled.
And yet, polyethylene had never really been considered as a textile. In their previous work, Boriskina and her colleagues showed they could spin yarn out of polyethylene, which they then wove into various garments. In those experiments, they focused on the yarn’s moisture wicking, stain-resisting, and cooling properties.
Spaghetti yarn
In their new study, the group aimed to tailor polyethylene yarn to mimic the strength and flexibility of spandex; they also sought to demonstrate the yarn’s recyclability.
They first looked for formulations of stretchy, polyethylene-based copolymers that resemble a spandex elastic core. Separately, they engineered polyethylene yarns that can act as the sturdier sheath. Looking through the scientific literature and combing through industrial reports, the team evaluated many chemical variations of polyethylene.
“The chemical structure of polyethylene is like Christmas garland — a backbone of carbon, carbon, carbon, and also these dangling ‘decorations’ of hydrogen atoms or short branches with the same structure as a backbone,” Boriskina explains. “How these chains are arranged can change the properties of the whole structure.”
“Polyethylene can give us a wide range of properties, depending on how you make it,” adds first author SeongHyeon Kim.
For the yarn’s core, the team used one polyethylene-based resin that results in a more stretchy fiber. They chose a second, stiffer resin as the basis for the yarn’s sheath. The researchers obtained pellets of each resin from a chemical manufacturer, and then put each type of pellet through a process of fiber fabrication, first pouring them into a hopper, then heating the pellets to about 350 degrees Fahrenheit, past their melting temperature. The melted polyethylene was then drawn through small extruders to make hair-thin fibers.
“You just melt it in a barrel with a heater, and then you extrude and spin it into fibers,” Kim says. “It’s like a spaghetti machine.”
The team used an industrial yarn spinner to wind the sheath fibers around a core fiber to make the final, elastic yarn.
Because both the yarn’s core and sheath come from the same chemical family of polyethylene, Boriskina says the materials do not have to be separated before recycling, in contrast to spandex-based elastic yarns. The new yarn can be melted as is, and reformed into new yarn or other plastic products.
“Because they are exactly the same chemistry, they play nicely together,” she says. “That’s what makes this yarn very recyclable.”
As a demonstration, the team twisted an elastic core-sheath yarn, then melted it down and re-spun it, 10 times. Each time, they tested the yarn’s mechanical properties by precisely stretching a thread and measuring the pulling force at which the thread eventually broke. From these tests, they found that the yarn’s recycled versions were just as strong as the original sheath yarn. These recycled yarns can now be used to make new stetchy yarns by twisting them around a newly spun elastic core.
“Now we have something that can be knitted and woven,” Boriskina says. “That is the next stage.”
The team says their new recipe for polyethylene yarn can be scaled up into industrial-sized spools. Just like conventional spandex fibers, it would take kilometers of yarn to weave a single textile. But once woven and used, the team envisions that a polyethylene garment could conceivably be dropped in a recycling bin and sent to a facility to be melted down and respun, enabling a more sustainable, circular fashion and textile economy.
“Hopefully it will prevent the need for making more and more textile materials, because you can keep recycling a large portion of it,” Boriskina says.
This work was supported in part by the DEVCOM Soldier Center through the U.S. Army Research Office, the Office of Naval Research Global via Tecnologico de Monterrey, and the MIT Portugal Program.
Looking beyond researchProfessor Anna-Christina Eilers is “Committed to Caring” for building a culture around attentiveness and community.In Professor Anna-Christina Eilers’ research group, mentorship happens through small, meaningful gestures: thoughtful feedback on a draft, a check-in after a rough week, and a readiness to help when things get tough. For her students, these everyday moments have become a defining feature of her approach.
An observational astrophysicist, Eilers studies how the universe evolved from its earliest beginnings. Her research investigates the formation and growth of black holes across cosmic time, particularly during the “cosmic dawn,” when the first stars, galaxies, and quasars illuminated the young universe.
Working alongside her in this field, graduate students describe a mentor who pairs high expectations with genuine attentiveness, encouraging both scientific independence and a strong sense of community. This approach has earned Eilers recognition through MITs Committed to Caring initiative — a student-driven program honoring exemplary mentorship within the graduate community.
Showing up in the everyday moments
Students say one of Eilers’ defining qualities is her consistency. No matter how busy her schedule, they know they can count on thoughtful feedback, productive meetings, and regular conversations about both research and broader career development. While those practices may sound routine, her mentees emphasize that they are anything but guaranteed within many academic spaces.
“As Christina's advisees,” two students wrote in their joint nomination, “we are both extremely grateful for the professional and emotional support we constantly receive. She always keeps an eye out for us.”
Eilers’ support takes many forms. Students describe an advisor who carefully reads every draft, provides timely and detailed feedback, and creates space for conversations that extend beyond immediate research questions.
Students also reflect on the manner in which Eilers celebrates their wins alongside them. “She brings our favorite desserts to group meetings when we publish a paper,” shared one nominator.
Her attentiveness becomes especially meaningful when challenges arise. Students note that she regularly checks in on them and does not hesitate to step in when research collaborations become difficult or obstacles threaten to slow their progress. Rather than leaving them to navigate those situations alone, she helps identify solutions before small problems become larger ones.
For Eilers, building a successful research group means cultivating connections among its members as well as producing strong science.
One of the group’s traditions takes place whenever a member returns from a conference or research visit. The traveler brings back a small treat — cookies, chocolates, or another local specialty — to share during the next group meeting. Along with the snacks comes a conversation about the talks they attended, the researchers they met, and the ideas they brought home.
The tradition transforms an individual trip into a shared opportunity for learning, with new perspectives becoming part of the group’s collective conversation. These exchanges work to not only reinforce a sense of community, but also to expose students to research and ideas beyond their own projects.
Through moments like these, students develop both as researchers and as colleagues who celebrate one another’s successes and learn from one another's discoveries.
Remembering the person behind the researcher
One of Eilers’ most consistent pieces of advice has little to do with coursework or research.
“I always recommend to incoming graduate students to find a hobby outside of work that they enjoy, and ideally where they interact with people they don’t work with,” she says.
She believes maintaining interests beyond the lab helps students sustain both their curiosity and their perspective. “Graduate school can be all-consuming,” she says, reflecting on her own experiences. “It's easy to let your research become your entire identity.”
This same philosophy shapes her mentorship: successful researchers are also people with lives, relationships, and interests beyond their work. Making space for those parts of life helps students build careers that are both ambitious and sustainable.
Eilers traces her approach to the advisors who shaped her own career.
“I was very fortunate to have had — and continue to have — several mentors who have challenged me scientifically and supported me along the way," she says. “They modeled how to pursue excellent research without losing sight of the importance of personal connection and integrity.”
Her students see these values reflected within the group environment. They are encouraged to tackle ambitious questions while developing the confidence to think independently, but they know that guidance is available when they need it.
In their nominations of Eilers, students describe an advisor who is present in both the ordinary and the difficult moments — someone who notices when support is needed, advocates for her students, celebrates their successes, and builds a community where students consistently feel seen.
Through this steady commitment, Eilers demonstrates that care is not separate from academic excellence. Rather, it creates the conditions that allow excellence to flourish.
MIT projects selected for funding under US Department of Energy’s Genesis MissionInitial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.MIT researchers are set to contribute to the U.S. Department of Energy’s (DOE) Genesis Mission, with 15 collaborative projects among those selected for funding under Genesis Phase I, DOE announced Wednesday.
The Genesis Mission, a national initiative, intends to build “the world’s most powerful integrated science discovery platform” by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, and advanced scientific instruments to accelerate breakthroughs in energy, scientific discovery, and national security.
“MIT researchers are proud to be leading and contributing to projects under the Genesis Mission, in vital areas of research that support national priorities,” says Ian A. Waitz, MIT’s vice president for research. “The Genesis Mission represents a fantastic opportunity to catalyze the power of universities, industry, and the U.S. national laboratories to advance science, technology, and innovation for the benefit of the nation and the world.”
The DOE announced the initial projects during its Genesis Summit in Washington on Wednesday. The research funding to MIT is pending completion of negotiations toward an award agreement for each project. In phase I, funded project teams will work to demonstrate research workflows that integrate AI with scientific investigation, and to rigorously evaluate the scientific merit of their approach.
Projects under the Genesis Mission are collaborative by design; teams must draw on the expertise of researchers from academia, industry, and/or the national laboratories. Among the selected phase I projects with MIT involvement are those that aim to develop powerful quantum sensors to help explain fundamental questions about the universe; advance knowledge of chemical-free methods to extract rare earth elements; model the behavior of plasma in fusion tokamaks and future fusion reactors; develop digital twins for fusion magnet systems; exploit the self-assembly of biomolecules to design materials with targeted properties; generatively design rotating blades for machinery systems; and more. Phase I projects that identify promising pathways toward transformative capabilities at scale may be considered by DOE for further Genesis Mission funding.
Six of the selected projects are to be led by MIT principal investigators (PIs):
MIT researchers are expected to participate in another nine selected projects led by other institutions, companies, and labs:
“The extraordinary response to this Genesis Mission application process demonstrates that America’s scientific community is ready to reimagine how discovery happens,” said DOE Under Secretary Darío Gil SM ’00 PhD ’03, in the DOE’s announcement. “Through the Genesis Mission, we are bringing together the nation’s leading researchers, institutions, and technology partners to build the next generation of scientific capability. We look forward to seeing these teams demonstrate new research workflows that accelerate discovery and reveal what is possible when AI and science advance together.”
A complete list of the first Genesis Mission projects selected for award negotiations is available from the U.S. Department of Energy.
Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.Dimitri Bertsekas PhD ’71, the Jerry McAfee (1940) Emeritus Professor in Engineering in the Department of Electrical Engineering and Computer Science (EECS), a principal investigator in the Laboratory for Information and Decision Systems (LIDS), and the Fulton Professor of Computational Decision Making at Arizona State University, died on June 3 at his home in Belmont, Massachusetts. He was 83 years old.
Over the course of his career, Bertsekas’ research spanned, and had a definitive influence upon, several fields, including optimization, control, large-scale computation, reinforcement learning, and artificial intelligence. He served as a consultant to various private companies; an editor for several scientific journals; the founder of a publishing company, Athena Scientific; and chief scientific advisor of Bayforest Technologies, a London-based quantitative investment company. However, his most lasting impact may have come through his prolific authorship and co-authorship of over 20 highly influential books, monographs, and textbooks, and through his vast network of students, mentees, friends, and collaborators.
Bertsekas earned his undergraduate degree at the National Technical University of Athens, Greece, before obtaining his MS in electrical engineering at George Washington University in 1969, and his PhD in system science at MIT in 1971. He began his faculty career at Stanford University, where he spent three years, and the University of Illinois at Urbana-Champaign, where he spent five more before returning to MIT in 1979. He would stay with MIT’s Department of EECS until 2019, at which point he became a full-time faculty member at Arizona State University at Tempe. Along the way, Bertsekas taught, advised, and mentored students who would eventually become his colleagues at all four institutions.
“Dimitri played a defining role in my career,” says Asu Ozdaglar, department head of EECS at MIT. “I decided to change my research focus after taking his nonlinear optimization class. The conceptual clarity and the mathematical rigor he has brought to every topic, combined with his ability to connect theory to important problems established a foundation that has continued to inform my scholarly work in the years to follow.” Another former MIT student, Jinane Abounadi, now executive director of the MIT Sandbox Innovation Fund Program, still remembers Bertsekas’ tutelage as a highlight of her time as a student at MIT: “I feel so fortunate to have had Dimitri as my professor and advisor. I had the opportunity to learn about optimization, dynamic programming, and neuro-dynamic programming from a true master.”
A former student at the University of Illinois, Steven E. Shreve remembers being impressed by Bertsekas’ course on nonlinear optimization and asking if Bertsekas would consider becoming his PhD advisor. “Rather than answering my question directly, Dimitri gave me a preliminary draft of his manuscript, which eventually became his book 'Dynamic Programming and Stochastic Control,' and asked me to proofread it,” remembers Shreve, now Orion Hoch University Professor Emeritus in the Department of Mathematical Sciences at Carnegie Mellon University. “From this manuscript, I learned the theory of dynamic programming and mastered many important special cases. Talking with Dimitri as I read, I received one-on-one instruction. When the book finally appeared, Dimitri generously acknowledged my participation, as if I had done him a favor, rather than the other way around.” The gambit was typical of Bertsekas’ understated approach to mentorship; after the first successful collaboration, Bertsekas arranged a research fellowship for Shreve and challenged him to solve a fundamental question in dynamic programming. “I needed to learn a good deal of set theory to even think about the question he asked,” remembers Shreve, whose work on the problem was combined with Bertsekas’ notes to create their co-authored book “Stochastic Optimal Control: The Discrete Time Case.”
“Working with Dimitri on [that book] is how I learned to write,” says Shreve. “I learned from Dimitri that if you want to be recognized for your research, you must present it so others want to read it, and I learned how to do that.”
The clarity and elegance of Bertsekas’ explanatory style would become his educational hallmark. “Everyone recognized Dimitri’s great talents as a writer, but he went far beyond that, organizing entire subjects into something that was understandable and a well-organized totality,” says Robert Gallager, professor emeritus of electrical engineering at MIT, who co-authored a 1987 book with Bertsekas entitled “Data Networks.” “The field was changing rapidly then, with a factor-of-two decrease every two years in computation costs, and with optical fiber on the horizon for transmission. Dimitri and I each understood only parts of this field, with the rest a fast-moving learning experience. Dimitri was the ideal partner in this, able to quickly translate hard concepts into simple but accurate explanations and able to combine my knowledge with his into an understandable whole.”
Bertsekas’ close colleague in LIDS, Munther Dahleh, remembers, “what always struck me was that, through his writing, one could almost hear Dimitri speaking directly to the reader. His intuition, clarity of thought, and distinctive perspective come through beautifully in his books. They reflect not only his profound technical contributions, but also his passion for teaching and his desire to help others understand the subject at a deep level. … In particular, his joint book with John Tsitsiklis on neuro-dynamic programming is a tour de force. It anticipated and helped define many of the ideas that later became central to reinforcement learning and approximate dynamic programming.”
Tsitsiklis himself remembers the co-writing process with Bertsekas fondly: “For Dimitri, research was a creative form, combining craftsmanship and the creativity that we usually call art.” The definition of art and its practice was a subject of great fascination for Bertsekas, and one that he explored at length in his 2025 essay, “Academia, Art, and Life,” an attempt to meaningfully categorize creative work into three broadly descriptive roles — technician, craftsman, and artist — and to explore the overlaps between the three types of practice. Beyond his clear and lucid writing, Bertsekas was known for his strong graphic eye, a talent which he put to good use not only developing illustrations for all his textbooks, but in taking memorable and artistically inspired photographs of his worldwide travels.
Longtime collaborator and friend David Castañón, now a professor of electrical and computer engineering at Boston University, remembers Bertsekas as a true Renaissance man who drew inspiration from countless sources: “Dimitri had an insatiable curiosity for algorithmic ideas, both theory and practice. Many of these ideas were inspired by new technologies (parallel computers, reinforcement learning, chess-playing algorithms) ... Whenever we met, Dimitri would introduce new concepts of interest; we would work out theoretical details, design and conduct numerical experiments, and generate results. Then, Dimitri’s artistic talents would take over: designing graphics to illustrate concepts, typesetting text and figures for the papers to be completed. He had a rare gift for generating concise explanations of complex concepts. These talents led to his publishing company Athena Scientific, where Dimitri and his coauthors generated elegant pedagogical volumes with broad appeal.” Tsitsiklis agrees, noting, “for Dimitri, [research] was about discovering meaning, to uncover the 'right' way to view a subject, enrich it, and convey it in a crystal-clear manner through his prolific writings.”
Many of the 20-plus books either authored or co-authored by Bertsekas were adopted for use as textbooks at MIT in subjects including data networks, nonlinear programming, dynamic programming, network optimization, parallel and distributed computation, neuro-dynamic programming, convex analysis and optimization, probability, and reinforcement learning. Stephen Boyd, Samsung Professor in the School of Engineering at Stanford, testifies to the great impact of Bertsekas’ collected works: “generations of researchers in optimization, control, and many related areas learned these topics from Dimitri’s exquisitely clear and beautifully written text books. I was one of them; indeed, I went into these fields in no small part because of Dimitri’s books, and his influence has been with me the whole time.”
That influence can be measured by the sheer number of awards and honors Bertsekas accumulated over the course of his career, including the INFORMS 1997 Prize for Research Excellence in the Interface Between Operations Research and Computer Science for Neuro-Dynamic Programming, the 2001 ACC John R. Ragazzini Education Award, the 2009 INFORMS Expository Writing Award, the 2014 ACC Richard E. Bellman Control Heritage Award for “contributions to the foundations of deterministic and stochastic optimization-based methods in systems and control,” the 2014 Khachiyan Prize for Life-Time Accomplishments in Optimization, the SIAM/MOS 2015 George B. Dantzig Prize, and the 2022 IEEE Control Systems Award. Together with his coauthor John Tsitsiklis, he was awarded the 2018 INFORMS John von Neumann Theory Prize for the contributions of the research monographs “Parallel and Distributed Computation” and “Neuro-Dynamic Programming.” In 2001, Bertsekas was elected to the U.S. National Academy of Engineering for “pioneering contributions to fundamental research, practice and education of optimization/control theory.”
However, a more personal measure of Bertsekas’ impact can be taken by the warmth and affection with which his friends, co-workers, and former students uniformly remember him. Co-author John Tsitsiklis wrote, “I was most fortunate to be one of his apprentices, and to have lived his warmth and friendship.” His former student at MIT, Angelia Nedich, later became Bertsekas’ colleague at Arizona State University. She remembers: “Dimitri was an exceptional mind, a gifted soul that shed light for us seekers, but at the same time he was very humble as he enjoyed simple moments of life, a sip of good coffee, a bite of flavorful food, or a glass of spicy margarita on our road trips in Southwest. That is how I love to remember him.”
Former student Benjamin Van Roy, now a professor at Stanford, wrote about the transformation of Bertsekas from authority figure to friend (and the subject of friendly teasing). “I recall the intimidating comments of more senior PhD students as I began my own PhD journey in LIDS. Some referred to Dimitri as an “immortal.” Another comment I recall fondly — and often reminded Dimitri about — was: “Professor Bertsekas is a very handsome man!” Their bond continued long after Van Roy’s graduation. “Dimitri was a treasure to humanity: one of the great scholars of our time, a Renaissance man, and a phenomenal role model. I was privileged to be among the many he mentored, and even more privileged to count him as a longtime friend.” Yuchao Li, a postdoc mentored by Bertsekas at Arizona State University, remembers his mentor as an almost inexhaustible source of both inspiration and support: “For me, Professor Bertsekas was like a loving father, full of infinite wisdom. … He seemed to know everything, yet he remained deeply humble and open-minded. He was always eager to help, even at the slightest sign of difficulty in my life. He instilled in me a lasting faith in the very best qualities of human beings, and I will strive to carry that faith forward.”
Bertsekas was preceded in death by his son Costas. He is survived by his wife Joanna Bertsekas (née Palashas); his son Telis Bertsekas and his wife Wendy Bertsekas; and three grandchildren, Melina, Alexandros, and Leonidas.
Diffuse puffs of “missing” matter surround most galaxies An MIT-led team used bright radio bursts to illuminate a vast source of matter that was previously unaccounted for.Stars and galaxies make up much of the universe’s ordinary, observable matter. But for decades, scientists have wrestled with a cosmic conflict: There should be much more.
Physicists have good estimates of how much matter was present in the early universe. Shortly after the Big Bang, roughly 83 percent of all matter in the universe was composed of invisible dark matter, with ordinary matter making up the rest. And yet, these estimates exceed the amount of ordinary matter seen in stars and galaxies today. Where, then, did all the missing ordinary matter go?
Now MIT scientists, as part of the CHIME/FRB Collaboration, are using far-off radio signals to reveal missing matter in the vast space between galaxies. The team has developed a new method to search out missing matter by combining locations of galaxies with detections of fast radio bursts.
A fast radio burst, or FRB, is an ultrabright, millisecond flash of radio waves emitted by extremely energetic phenomena in the distant universe. As it travels through space, the signal from a fast radio burst gets stretched, or “smeared,” in time. The more missing matter that it passes through, the more smeared the signal becomes.
The MIT-led team measured the degree of smearing experienced by thousands of FRB signals detected on Earth. Then they compared each FRB smear with locations of galaxies across the universe to determine how much of an FRB’s smearing was due to galaxy matter versus other, missing matter.
The new method revealed not only whether missing matter was present, but also where. Specifically, the researchers discovered that it exists in very diffuse clouds surrounding groups of galaxies. These clouds extend out from the galaxies, to much further distances than scientists had predicted.
“We find that, overall, where there are more galaxies, there tends to be more missing matter around them,” says Haochen Wang, a graduate student in MIT’s Kavli Institute for Astrophysics and Space Research.
The results, reported today in the journal Physical Review Letters, support the idea that matter is flung outside a galaxy through black hole jets, exploding stars, and other highly energetic processes within a galaxy. What’s more, the findings suggest that such processes are more energetic than scientists had thought.
“We’re finding missing matter that is pushed out to larger scales,” says Kiyoshi Masui, associate professor of physics at MIT. “These measurements indicate that star activity, and activity from black holes, is stronger and much more violent than predicted.”
Masui and Wang are co-authors of the new study, which includes Shion Andrew, Adam Lanman, Kenzie Nimmo, and Ryan Raikman from MIT, and collaborators from multiple other institutions as part of the CHIME/FRB Collaboration.
The shape of matter
The vast majority of ordinary, observable matter in the universe is built from baryons — a type of subatomic particle that includes protons and neutrons, and that makes up most of an atom’s mass. Scientists estimate that just 17 percent of the early universe was made from this “baryonic” matter, shortly after the Big Bang.
Some of that early matter was forged into every substantial thing we see today, from planets, stars, and galaxies, to our own bodies. But as scientists have realized, this matter doesn’t quite add up. The total mass of all the stars, galaxies, and galactic clouds is about a tenth of the baryonic matter that existed in the early universe. There must be more matter, likely in the spaces between galaxies. But the universe is vast. Any leftover matter likely exists at extremely low densities, of around a single proton per cubic meter, making it extremely challenging to detect.
Recently, however, Masui and others have found that such missing matter could be sussed out using fast radio bursts. FRBs were first discovered in 2007, and since then astronomers have detected several thousand of the mysterious, ultrashort signals from distant galaxies, billions of light years away.
“What makes FRBs good to probe missing matter is that they have a special property,” Wang says. “They start out as a very quick flash, and as they pass through matter, they smear out in time. And we can measure that smearing very precisely, which is directly proportional to how much missing matter the FRB passed through.”
Researchers have previously taken advantage of this smearing property of FRBs to detect missing matter around galaxies. These efforts have confirmed that tenous clouds exist in the vast spaces between galaxies. Masui and Wang wanted to go a step further.
“We’re not just probing if the gas is with the galaxy or not, but we are seeing the shape of the missing matter that’s around the galaxies,” Wang says. “By mapping the shape of missing matter, we can understand how galaxies form and how they interact with their environment.”
Galactic fountains
For their new study, the team mapped the shape of missing matter around galaxies by cross-correlating thousands of FRB measurements with locations of millions of galaxies. They used data from two sources: the Canadian Hydrogen Intensity Mapping Experiment (CHIME) and the Dark Energy Spectroscopic Instrument (DESI) survey.
CHIME is a large radio telescope located in British Columbia, Canada, that is designed to scan the entire northern sky for incoming radio waves. The telescope is sensitive to ultrashort, ultrabright radio signals, and since it began observing, CHIME has detected about 4,000 fast radio bursts across the sky.
DESI is an instrument that is mounted on the Mayall Telescope at Kitt Peak National Observatory, near Tucson, Arizona. The instrument makes detailed measurements of the light coming from over 30 million galaxies, to provide estimates of dark energy — the mysterious force that drives the expansion of the universe.
From CHIME’s catalog of detections, members of the CHIME/FRB collaboration analyzed 2,870 FRB signals. Each signal is a burst of radio waves, at multiple wavelengths, from highest to lowest energy. The higher-energy “blue” waves typically are less affected by any missing matter they travel through, and therefore should arrive at a detector before lower-energy “red” wavelengths, which are more delayed, or “smeared,” in time.
The team measured the smearing of each FRB’s various wavelengths, which they could then directly relate to the amount of matter that the FRB must have traveled through before reaching CHIME’s detectors. Masui and Wang then correlated these measurements with the locations of over 6 million galaxies provided by DESI data. In this way, they could look for an association between the missing matter and the galaxies, and measure where one is in relation to the other.
Their analysis revealed a pattern: Missing baryonic matter tended to be found around galaxies and galaxy clusters. But rather than gathering close to galaxies in a dense ball, missing matter was scattered across a large radius, similar to a diffuse puff.
“A galaxy is maybe a few 100,000 light years across, and we found missing matter out to about 4 million light years,” Masui says. “That’s further than the simulations predict, by quite a bit.”
“We are finding that the activity in galaxies is messier than we thought,” Wang says. “They’re more like fountains, and really push out gas to very large distances.”
The new results show that fast radio bursts can be a reliable method by which to search for missing matter. As CHIME continues to detect more FRBs, the team says its method can only improve.
“We got it to work for the first time, and will get it to work even more precisely as data gets better,” Masui says.
CHIME and CHIME/FRB are supported by the Canada Foundation for Innovation, the Natural Sciences and Engineering Research Council of Canada and, the provinces of British Columbia, Québec, and Ontario. This study was supported in part by the U.S. National Science Foundation.
MIT honors employees with 2026 Excellence Awards, Collier Medal, and Staff Award for Distinction in ServiceThe MIT community celebrated the talent, dedication, and impact of its staff.On June 4, colleagues held homemade signs, waved pompoms, and cheered loudly for award recipients in Kresge Auditorium. Twenty individuals and three teams received MIT Excellence Awards — the Institute’s highest honor for staff. Additional honors included the Collier Medal, the Staff Award for Distinction in Service, and the Gordon Y. Billard Award.
The Collier Medal honors the memory of MIT police officer Sean Collier, who gave his life in service to the MIT community. Recipients embody a deep commitment to community and approach their work with compassion for others. The Staff Award for Distinction in Service is presented to an individual who approaches their work with kindness, empathy, and approachability, and serves as a trusted adviser at the Institute. The Gordon Y. Billard Award is given to staff or faculty members, or MIT-affiliated individuals, who make "significant and lasting contributions to the MIT community."
The 2026 MIT Excellence Award recipients and their categories are:
Bringing Out the Best
Robin Elices
Kate McCarthy
Jim Mitchell
Embracing Inclusion
Allison Chang
Mandana Sassanfar
Innovative Solutions
Kayla S. (KB) Burt
Amanda Jarvis
Julie Uva
Sustainability Team (Yu Cheng, Brian Goldberg, Susy Jones, Steve Lanou, Ellie McLane, and Julie Newman)
Outstanding Contributor
Barry Pugatch
Emma Shortall
Chao Li
Catherine Nunziata
Trinidad Carney
Gang Liu
Laura von Bosau
James Daley
Craig Rowe
MIT Health Housekeeping Team (Michael Batista, Maria Coelho, Mae Evans, Maria Fatima Rosario, Selam Stefanos, Claudia Teixeira, and Claudia Vidal)
Serving Our Community
Olivia Cheo
Clayton Hainsworth
Atsushi Takahashi
MIT Health Ambulatory Safety Net and Population Management Team (Michele M. A. David, Solanlly Mendez, Pamela Mensah, Nicole Napier, Lucus David Sensius, and Stephanie Shaprio)
The 2026 Collier Medal recipient was Michael Grenier, pub manager, dining, Division of Student Life. At the Muddy Charles and the Thirsty Ear pubs, Grenier creates spaces where MIT community members can relax, meet friends, and find unconditional support. His acts of kindness are woven into the atmosphere he creates, and alumni regard him as someone who shaped an important part of their early adult lives.
This year’s winner of the Staff Award for Distinction in Service was Christina Couch, associate director and lecturer, MIT Graduate Program in Science Writing, Comparative Media Studies, School of Humanities, Arts and Social Sciences (SHASS). Couch has been an invaluable member of the SHASS community — as a student, alumna, and staff member. Through her work, she has created opportunities for students to interact and build relationships with professional journalists, and underlying everything she does is her compassion and deep belief in student potential.
Three community members were honored with a 2026 Gordon Y. Billard Award.
Cullen R. Buie, professor of mechanical and biological engineering, associate department head of mechanical engineering, and head of house, Maseeh Hall
Traci Swartz, assistant director, Community Services Office, Institute Affairs, Office of the President
David L. Verrill, executive director, Initiative on the Digital Economy, MIT Sloan School of Management
Presenters included Provost Anantha Chandrakasan; MIT Chief of Police John DiFava and Captain Andrew Turco; Executive Vice President and Treasurer Glen Shor; Associate Provost Maria Yang; Dean of the School of Science Nergis Mavalvala; Lincoln Laboratory Assistant Director Justin Brooke; Vice President for Human Resources Ramona Allen; and Chancellor Melissa Nobles.
Visit the MIT Human Resources website for more information about the award recipients, categories, and to view photos and video of the event.
Every year, MIT’s graduation coincides with the joyful reunion of classes past, but this year brought a special occasion for the Department of Electrical Engineering and Computer Science (EECS). Senior Lecturer Gim Hom hosted a special reunion for around 15 of his classmates from the Class of 1971 in the Cypress Engineering Design Studio, a staffed makerspace and classroom run by the department. (Yes, for those of you doing some hasty subtraction, that is a 55th-year reunion.) Participants worked with electronic components just as they did in labs long ago, building their choice of two projects: a simplified electrocardiogram (ECG) and an audio amplifier. But the event wasn’t only a reunion. For Hom, the activity doubled as his chance to teach a “last class.”
He explains: “As a lecturer, I use real-world problems and solutions to teach concepts in analog and digital design. For the reunion activity, I drew upon two existing labs from my courses and stripped out the theory material, leaving only the assembly for the reunion activity.”
For the first activity, attendees refreshed their soldering skills, assembling a printed circuit board (PCB) that approximated the design of an ECG before attaching electrodes and rolling up their sleeves (literally) to view the electrical impulses of their heartbeats. Hom explains that “in 6.2040 (Analog Lab), I use the ECG as a platform for teaching signal acquisition, filtering, and display. Students first analyze the design of an ECG circuit and then build and solder the board themselves, gaining hands-on experience with printed circuit board assembly. For many students, this is their first exposure to soldering.”
In the second activity, the alumni learned to surface mount solder, a skill that, while technically possible, had not yet become popularized during their time as undergraduates at MIT. “Modern electronics primarily rely on surface-mount technology (SMT),” explains Hom. “To give students exposure to SMT assembly, I designed an optional laboratory project: a small USB-powered audio amplifier that students can use to play music from their phones. While external speakers must be connected, the amplifier yields surprisingly good sound quality.”
Throughout the day, technical instructors Anthony Pennes and Liam Ackerman (both coincidentally celebrating their own reunions, at 10 and 5 years out from MIT, respectively) remained on hand to answer questions and familiarize attendees with the technology available in the Engineering Design Studio, which is open to the EECS community from morning until nearly midnight throughout the school year.
“It was wonderful to see alumni leave with a working board with big smiles on their faces,” says Hom, who, while no longer teaching, will continue part time as an advisor to EECS students.
Meanwhile, his classmates have a working memento of their time at MIT — and a reminder that technical skills can last a lifetime.
Emery Brown, Daniel Hastings, and Douglas Lauffenburger named Institute ProfessorsLongtime professors and experts in the fields of anesthesiology, aerospace engineering, and biological engineering, respectively, receive MIT’s highest faculty honor.A physician and neuroscientist who studies how anesthesia affects the brain; a leader in aerospace engineering, policy, and education; and the founding head of MIT’s Department of Biological Engineering have been awarded MIT’s highest faculty honor: the title of Institute Professor.
With the appointments of Emery Brown, Daniel Hastings SM ’78, PhD ’80, and Douglas Lauffenburger, there are now 12 Institute Professors at MIT, along with 10 Institute Professors Emeriti.
The appointments, which took effect July 1, were announced today in an email to the faculty from Sally Kornbluth, MIT’s president; Anantha Chandrakasan, MIT provost; and Roger Levy, chair of the faculty and a professor of brain and cognitive sciences.
Emery Brown
Brown, who has been a member of the MIT faculty since 2005, says he is “tremendously honored” to be appointed as an Institute Professor.
“It’s a pleasure to know that your colleagues hold you in such high esteem and that the work that you’re doing is valued,” says Brown, who is the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience, an investigator at The Picower Institute for Learning and Memory, and a professor in the Department of Brain and Cognitive Sciences and the Institute for Medical Engineering and Science. “When you look down the list of people who have had this title, it’s an amazing group.”
After graduating from Harvard University with a bachelor’s degree in applied mathematics in 1978, Brown earned a PhD in statistics, also from Harvard, and an MD from Harvard Medical School. Since 1992, he has been a member of the Harvard Medical School faculty, and until recently he was a practicing anesthesiologist at Massachusetts General Hospital.
Throughout his career, Brown has made contributions in several different areas of neuroscience. In the early stages of his research career, he developed statistical methods to characterize the properties of the human circadian clock. He showed how light exposure can shift the phase of the human clock, depending on the circadian phase during which the light is administered. He also developed methods to demonstrate, from analyses of physiological data collected under special low-light conditions, that the intrinsic period of the human clock, like that of other species, is closer to 24 hours and not 25. Brown also measured the impact of shift work schedules that were designed using circadian physiology.
Later, he developed new statistical techniques and signal processing methods to analyze data collected in systems neuroscience experiments. As part of this work, he devised algorithms to decode the position of an animal in its environment by reading the activity of a small group of place cell neurons in the animal’s brain.
Joining MIT’s faculty just over 20 years ago represented an “inflection point” in his career, Brown says.
“I was an anesthesiologist doing statistical research, interested in neuroscience, and MIT allowed me to tie all those together,” he says. “I could work with colleagues who could help me understand the neuroscience of anesthesia, have another outlet for the statistical research that I was doing, and also more direct interactions with undergraduates and grad students.”
Over the past two decades, Brown has applied statistical techniques to studying what happens to the brain under anesthesia. His work has revealed how drugs such as propofol alter the brain’s intrinsic oscillations, which can be seen with electroencephalography (EEG).
During the awake state, these oscillations usually have high frequencies and low amplitudes, but as anesthetic drugs are given, they shift to low frequencies and high amplitudes. These changes disrupt normal communication between different brain regions, leading to loss of consciousness.
Brown has also shown that these EEG oscillations can be used to monitor whether a patient is too deeply unconscious, and he has developed a closed-loop anesthesia delivery system that can monitor these oscillations in real-time and guide anesthetic dosing during surgery.
In 2024, Brown was presented with the National Medal of Science. Among his other awards, he is also a recipient of a National Institute of Health Director’s Pioneer Award, the Gruber Prize in Neuroscience, and the Swartz Prize for Computational and Theoretical Neuroscience. He one of a small group of researchers to be an elected member of all three National Academies of Medicine, Sciences, and Engineering, as well as the National Academy of Inventors.
From 2012 to 2022, he served as co-director of the Harvard-MIT Program in Health Sciences and Technology. He has also played an instrumental role in several important efforts at MIT, including the 2010 Report on the Initiative for Faculty Race and Diversity, and the founding of the MIT Institute for Data, Systems, and Society (IDSS) in 2015.
Outside of his work at MIT, Brown served on President Obama’s Brain Initiative Working Group, as well as the National Academy of Sciences Committee on Women in Science and Engineering and the Council of the National Institutes of Neurological Disorders and Stroke.
Brown is also known for his commitment to teaching and mentoring students. In 2024, he was named a recipient of MIT’s “Committed to Caring” award — an honor given by MIT’s Office of Graduate Education to faculty members who have served as exceptional mentors to graduate students.
Daniel Hastings
When Hastings, the Cecil (1923) and Ida Green Professor in Education, was notified of the new distinction, it came as a total surprise.
“The people who were there will tell you that I could not believe it at first,” he says. “I never thought of myself as being in the same league as some of the Institute Professors I knew.”
Hastings grew up in England and Jamaica, and developed an early fascination with space, as a fan of the fictional “Star Trek,” and later “Star Wars” and “Stargate” (he’s seen every episode and movie of all three franchises), as well as the very real NASA Apollo program.
After receiving a bachelor’s degree in mathematics from Oxford University, he enrolled at MIT, earning his master’s degree in 1978 and PhD in 1980, both in aeronautics and astronautics. In 1985 he joined the faculty as an assistant professor and was promoted to full professor in 1993.
Throughout his tenure, Hastings has made significant and lasting impacts in astronautical engineering, particularly through his studies in space plasma environment interactions, electric propulsion, and space systems architecture.
His early research on the physical interactions between plasma and spacecraft, for which he co-wrote the definitive text (“Spacecraft Environment Interactions,” published in 1996), enabled the safe operation of solar panels on spacecraft today. Prior to Hastings’ work, high voltage solar arrays on satellites often experienced catastrophic arcing — a dangerous jumping of electrical current from one panel to another. These failures turned out to be a result of interactions with the surrounding space plasma.
Hastings developed theories to characterize these interactions. His theories informed NASA’s design of the solar panels to power the International Space Station, which are still in operation today. His work also established guidelines across the aerospace industry on the design of resilient solar panels and ways to handle issues once in orbit.
In his studies of electric propulsion, Hastings characterized the fundamental physical interactions between ion engine plumes and spacecraft systems. His work was pivotal in incorporating ion propulsion systems into many commercial satellites and deep space probes and helped to push what was an experimental technology into mainstream use in space propulsion.
In his more recent work, Hastings has explored the concept of flexible and distributed space architectures. He and his students are developing models for spacecraft that can serve purposes beyond their original mission intent. For instance, a spacecraft may incorporate a port that could serve as a waystation for future satellites to dock and refuel. Such a flexible and distributed system could help to support future missions to the moon and Mars.
In recognition of his research contributions, Hastings received the AIAA Losey Atmospheric Sciences Award in 2002, was elected to the National Academy of Engineering in 2017, and was recognized as an honorary fellow of the American Institute of Aeronautics and Astronautics (AIAA) in 2021.
Throughout his career, Hastings has taken on numerous leadership roles, at the national, international, and Institute levels. Shortly after becoming full professor, he served as associate department head of research in MIT’s Department of Aeronautics and Astronautics (AeroAstro). He then took a two-year leave from the Institute to serve as chief scientist of the U.S. Air Force. During that time, he advised the Air Force chief of staff and secretary and successfully strengthened investments in space research in the U.S. Air Force space program.
Hastings has served as an advisor on multiple expert panels and boards, including as the chair of the Air Force Scientific Advisory Board, and as a member of the NASA Advisory Council, the National Science Board, the Intelligence Science Board, and most recently, the Defense Science Board and User Advisory Group of the National Space Council. He has also chaired multiple National Research Council studies and advised the space and engineering industries in various capacities, including serving on the boards of the Aerospace Corporation, Draper, and Blue Origin. He has just finished a two-year term as president of the American Institute of Aeronautics and Astronautics.
At MIT, Hastings has stepped up to serve in pivotal leadership posts. From 2000 to 2005, he served as the director of MIT’s Technology and Policy Program, then director of the Engineering Systems Division. From 2006 to 2013, as dean for undergraduate education, he helped to develop initiatives in equity, financial aid, and curriculum development, and strengthened international education and study abroad programs during a nationally challenging economic period. He received the Gordon Y. Billard Award in 2013 for his work on international education. In 2014 he began a five-year term as director of the Singapore-MIT Alliance for Research and Technology, during which he worked to reinforce MIT’s global collaborations. And from 2019 to 2023 he served as head of AeroAstro, supporting new research and educational initiatives as he navigated the department through the global pandemic.
Hastings has also worked in multiple capacities to make the Institute a more welcoming and inclusive community. He has served as associate dean of engineering for diversity, equity, and inclusion (2021-2023), Institute Community and Equity Officer (interim, 2023-2024), and co-chair of the MIT Values Statement Committee, as well as vice chancellor for undergraduate and graduate education (interim, 2024-2025).
“MIT has been a great place for me,” Hastings reflects. “It has a mission to address some of the most pressing problems in the world. It is a high-energy place. This is a place that I am excited to work in and I want to give back to make it better.”
Douglas Lauffenburger
Lauffenburger, who is the Ford Professor of Biological Engineering, Chemical Engineering, and Biology, was the central founder of MIT’s Department of Biological Engineering, which he chaired from its inception in 1998 until 2019.
Before coming to MIT, Lauffenburger earned his undergraduate degree from the University of Illinois at Urbana-Champaign in 1975 and a PhD from the University of Minnesota at the Twin Cities in 1979, both in chemical engineering.
While in graduate school, he became fascinated by the biological sciences. Early in his career, as a faculty member at the University of Pennsylvania and at the University of Illinois, his research and teaching straddled the line between chemical engineering and cell biology. Due to his unique background, MIT recruited Lauffenburger in the late 1990s to launch its new Department of Biological Engineering.
At the time, many universities had programs in biomedical engineering — an interdisciplinary field that applies techniques from electrical, chemical, or mechanical engineering to medical problems. Lauffenburger envisioned a distinct discipline of biological engineering, in which engineers would pursue an understanding of how biological systems function at the level of molecular and cellular mechanisms, with the goal of manipulating them to create new technologies for applications across medicine, energy, the environment, nutrition, and manufacturing.
“What was clear to me was that because biological systems comprise molecular processes, which are integrated in very complex ways, a true engineering analysis and design approach ought to be useful in moving it beyond mere tinkering and trial-and-error,” he says. “We needed to develop engineering frameworks for biology based on design principles, models, and predictions.”
As department head, Lauffenburger guided the development of new curricula at both graduate and undergraduate levels, and recruited faculty members whose work spanned engineering, molecular and cellular biology, microbiology, and immunology. The new department began offering graduate degrees in the late 1990s, and an undergraduate major beginning in 2005. Since its inception, the program has served as a model for similar programs at many other institutions worldwide.
Lauffenburger described being named an Institute Professor as “an honor that is especially gratifying because it recognizes the extraordinary impact of our unique MIT biological engineering department. I’ve been blessed with the rare opportunity to help create something revolutionary, here in this remarkable institution.”
Lauffenburger also played key roles in launching new interdisciplinary programs within MIT and with other institutions, including the Center for Biomedical Engineering, the Computational and Systems Biology Initiative, the DuPont-MIT Alliance, and the Cambridge-MIT Initiative.
His research has touched on many areas of biological science, including molecular cell biology, systems biology, and computational biology. Much of his work focuses on unraveling cell signaling mechanisms, using a combination of computational modeling and quantitative experiments. This work has shed light on processes such as cell proliferation, death, adhesion, and migration.
In the field of systems biology, he has created computational models across a spectrum of mathematical approaches, which can be used to identify drug targets and patient stratification strategies for a variety of diseases, including cancer and chronic inflammation, and predict the efficacy of drugs against those targets.
In 2021, he and Linda Griffith, the School of Engineering Professor of Teaching Innovation at MIT, were jointly awarded the Bernard M. Gordon Prize for Innovation in Engineering and Technology Education, the most prestigious engineering education award in the United States.
Lauffenburger is an elected member of the National Academy of Engineering and the American Academy of Arts and Sciences. He is a fellow of the American Association for the Advancement of Science, a founding fellow of the American Institute for Medical and Biological Engineering, and has served as president of the Biomedical Engineering Society.
School of Humanities, Arts, and Social Sciences welcomes six new faculty for 2026New professors join the Comparative Media Studies/Writing, Economics, Linguistics, and Music and Theater Arts departments.The MIT School of Humanities, Arts, and Social Sciences (SHASS) and Dean Agustín Rayo recently welcomed six new professors to the MIT community. They arrive with diverse backgrounds and vast knowledge in their areas of research.
Grisha Coleman is a full professor in the Music and Theater Arts Section. Her research explores tensions between our physiological, technological, and ecological systems; human movement, our machines, and the places we inhabit. Her practice engages an interdisciplinary approach to these explorations. Coleman received the Doris Duke Foundation’s Performing Arts Technologies Lab Award. Her work has been supported by Carnegie Mellon University’s STUDIO for Creative Inquiry, Creative Capital, the Jerome Foundation, MacDowell, the MAP Fund, the National Endowment for the Arts, the New York Foundation for the Arts, Pioneer Works, the Rockefeller Foundation Bellagio Center, Stanford University’s Mohr Visiting Artist program, and the Surdna Foundation. Coleman was previously a professor at Northeastern University and an associate professor at Arizona State University. She earned an MFA in music composition and integrated media from California Institute of the Arts.
Tung-Hui Hu is an associate professor with tenure in the Comparative Media Studies/Writing program. A poet and a scholar of digital media, he is the author of five books, most recently “Digital Lethargy: Dispatches from an Age of Disconnection” (MIT Press, 2022), “A Prehistory of the Cloud” (MIT Press, 2015), and “Greenhouses, Lighthouses” (Copper Canyon Press, 2013). Hu is interested in how concepts such as race and normal language became measurable, governable objects in the form of datasets. His research on data centers, artificial intelligence, burnout, and visual art has been featured in places such as CBS News, BBC Radio 4, WIRED, and MoMA R&D. He has been awarded fellowships from the American Academy in Rome, the National Endowment for the Arts, and the American Academy in Berlin. Prior to joining MIT, he was a faculty member at the University of Michigan.
Claire Luchette is an assistant professor in the Comparative Media Studies/Writing program. Luchette is the author of the novel “Agatha of Little Neon.” The winner of a Whiting Award and a National Book Foundation 5 Under 35 Honoree, Luchette has received fellowships from the Harvard Radcliffe Institute, the New York Public Library's Cullman Center for Scholars and Writers, MacDowell, Yaddo, and the National Endowment for the Arts. Their writing appears in Best American Short Stories, Ploughshares, and the Pushcart Prize anthology. Their second novel, “Swans,” and a story collection, “Big Whoop,” are forthcoming.
Shota Momma is an associate professor in the Department of Linguistics and Philosophy. Momma is a specialist in psycholinguistics and its interaction with linguistic theory — with a particular focus on the mechanisms of sentence production. Previously, Momma taught as an assistant professor at the University of Massachusetts Amherst. He earned a PhD in linguistics from the University of Maryland and completed a postdoctoral fellowship at the University of California San Diego.
Lindsey Raymond PhD ’24 is an assistant professor in the Department of Economics, holding an MIT Schwarzman College of Computing shared position with the Department of Electrical Engineering and Computer Science. Her research examines how new technologies shape labor markets and market competition, and how insights from economics can inform algorithm design. She is a Schmidt Sciences AI2050 Early Career Fellow and served as a staff economist at the White House Council of Economic Advisers in 2021–22. Before joining MIT, Raymond was a postdoc at Microsoft Research. She earned her PhD from MIT and her BA from Yale University.
Makoto Harris Takao is the Class of 1957 Career Development Professor in the Music and Theater Arts Section. Working at the intersection of cultural history, religious studies, and musicology, Takao maps Japan’s entanglement with other world regions over the past 500 years. His current book project, “The Clef and the Cross: Music and Kirishitan Transculturation in Sixteenth-Century Japan,” asks what early modern Japanese Catholicism sounded like and how it was understood and expressed through Buddhist frameworks of sound, music, and movement. His work to date has appeared in such venues as Early Music, Journal of Music History Pedagogy, Journal of Religious History, Journal of Jesuit Studies, Zeithistorische Forschungen, and Oxford Bibliographies in Music. A player of the viola da gamba, Takao completed a joint PhD in history and musicology at the University of Western Australia. Before joining MIT, he was an assistant professor of musicology at the University of Illinois at Urbana-Champaign.
How an influx of salt may affect microbial ecosystemsAs sea levels rise and saltwater seeps into freshwater, stressed aquatic populations may retain overall growth even as diversity declines, MIT scientists find.As sea levels rise due to climate change, encroaching sea water will likely make freshwater environments saltier. In a new study, MIT researchers have shown how that increase in salinity might affect microbial ecosystems found in environments such as rivers and estuaries.
These microbial communities play important roles in the carbon cycle, and they also help to decompose organic matter such as algae. The MIT team found that when salt levels rise, these populations lose diversity as faster-growing strains tend to take over the community, but they maintain their overall growth rate.
“At higher salinity, you lose diversity, which is ultimately not good for an ecosystem. But what we were surprised at is that in the meantime, even though diversity decreases, the growth of the community and the production of biomass is not impacted that much,” says Jana Huisman, an MIT postdoc and the lead author of the new study.
Jeff Gore, an MIT professor of physics, is the senior author of the paper, which appears today in Nature Microbiology. Martina Dal Bello, a former MIT postdoc who is now an assistant professor of ecology and evolutionary biology at Yale University, is also an author of the study.
Rising salt levels
Microbes that live in aquatic environments are typically adapted to thrive in fresh or salt water, or somewhere in between. Microbes that live in higher salt environments have cell walls that are optimized to resist osmotic pressure, and membrane transporters that can pump sodium ions out of the cell.
Freshwater lakes and rivers have salt concentrations around 1 gram of salt per liter of water (g/L), while oceans can reach 35 g/L. As the climate warms and sea levels rise, those oceanic waters may seep into estuaries and other inland bodies of water, increasing their salinity.
“When you think about climate change, you can think about rising temperatures, which is very common, but also a lot of other environmental stresses are going to increase,” Huisman says.
Huisman is from the Netherlands, a country with an extensive coastal delta, and she was interested in exploring how changes in salinity might affect microbial ecosystems in those aquatic habitats. The new study builds on previous work from Gore’s lab showing that higher seawater temperatures tend to favor slower-growing bacteria.
For the new study, the researchers took samples from three aquatic environments with varying salinity: the Charles River near the MIT Sailing Pavilion (4 g/L), Boston Harbor (30 g/L), and a beach in Nahant, Massachusetts (35 g/L). Each community contained hundreds of species of microbes. The researchers then grew each population in three environments of varying salinity — 16, 31, or 46 g/L.
Over two weeks, the researchers measured the communities’ growth rates and found that overall, each community maintained the same growth rate at each of the three concentrations. However, in the communities exposed to higher salt environments, the overall composition became less diverse. Further studies showed that these communities tended to be dominated by faster-growing species.
“We saw that those communities that had been propagated at higher salinity had reached a markedly different composition than the ones that lower salinity,” Huisman says.
Natural ecosystems
To explore whether their lab results might correspond to what happens in natural ecosystems, the researchers analyzed publicly available genomic data from microbes found in different aquatic ecosystems, including the Chesapeake Bay, the Gulf of Mexico, and the Baltic Sea.
For this portion of the study, the researchers focused on a genetic marker called the 16S rRNA gene copy number, which can be used as a proxy for the maximum growth rate that a species can attain. The more copies of this gene that a species has, the faster its intrinsic growth rate.
The researchers found that in these natural communities, environments with higher salinity also tended to be dominated by faster-growing species.
“When we first saw that, it was very exciting — that, indeed, what we found in the lab seems to also be represented in data from natural communities, sampled across a range of different environments,” Huisman says. “You see the same signatures in such data, and that’s highly suggestive that what we found in the lab might also be true in natural environments.”
One potential drawback to this loss of diversity is a reduction in microbial populations’ ability to withstand other types of environmental stress, the researchers say.
In this study, the researchers did not investigate the functions of the individual bacterial strains that ended up becoming more prevalent. Some of them may play beneficial roles, but it’s also possible that some of them might be pathogenic strains.
“Whether you want faster-growing species to take over or not might also be related to what the identity of those species is. That is something that I’m interested in looking at in the future,” Huisman says.
The research was funded by a Human Frontier Science Program Fellowship and a Schmidt Science Polymath Award.
Diana Grass: Listening to the body’s languageThe PhD candidate builds soft bioelectronic technologies to decode signals between the brain and the rest of the body.Growing up in Colombia, Diana Grass had a simple response whenever someone told her something was impossible.
“I’ll figure it out.”
It’s a phrase that she still lives by today as PhD candidate in the Harvard-MIT Program in Health Sciences and Technology (HST), as she develops soft bioelectronic devices to study the physiological signals through which the brain and body communicate.
“I’ve always been fascinated by one question: How do complex systems work?” Grass says.
An instinct to get to the bottom of things has guided Grass’ unconventional academic journey across continents and disciplines. Before becoming a neuroscientist and engineer, Grass studied philology and education to understand how language evolves, preserves knowledge, and shapes human communication. Looking back, she sees a common thread. “I wasn’t just studying language,” she says. “I was learning how complex systems communicate.”
But it wasn’t until she moved to the United States and began working as a medical interpreter that her scientific interests took a new direction.
“Every day, I translated conversations between physicians and patients with neurological disorders,” she says. “Watching those interactions sparked a fascination with the brain. I was intrigued by how a single organ could shape how we communicate, and ultimately who we are.”
Working alongside clinicians, Grass watched them rely on laboratory tests, medical imaging, and vital signs to understand what was happening inside the body. Despite remarkable advances in medical imaging and diagnostics, clinicians still rely largely on isolated snapshots of biological processes that are continuously changing inside the body.
“The body is communicating all the time,” she says. “We still lack the tools to understand its language.”
Determined to better understand the brain, Grass returned to school to study neuroscience with a minor in pre-medicine. She joined an immunology laboratory at Rutgers New Jersey Medical School, where she investigated neuroimmune communication and gained a new appreciation for the body’s interconnected physiology.
“Until then, I had been fascinated by the brain,” she says. “My work in immunology made me realize that the nervous system doesn’t function in isolation,” she says. “It continuously communicates with the immune system and peripheral organs to coordinate physiology and maintain homeostasis. To understand health and disease, we have to understand how those interactions preserve or disrupt that balance.”
That realization transformed her scientific focus from understanding the brain to understanding how the nervous system coordinates physiology through continuous communication with the rest of the body, beginning with the immune system.
The complexity of that question ultimately brought Grass to pursue a PhD in medical engineering and medical physics with the HST program. She works in the Bioelectronics Group, led by Polina Anikeeva, the Matoula S. Salapatas Professor and head of MIT’s Department of Materials Science and Engineering. Grass also uses facilities in the T.J. Rodgers Laboratory and MIT.nano, and is part of the K. Lisa Yang Brain Body Center.
Today, Grass develops soft bioelectronic devices that integrate seamlessly with soft peripheral tissues without damaging them, to continuously monitor multiple physiological signals while enabling electrical recording and stimulation of neural circuits. These technologies provide a new way to investigate how neural communication coordinates physiology across the entire body. This knowledge could enable earlier diagnosis, more precise therapies, and a new generation of bioelectronic medicine.
For Grass, the work has taken on an even deeper significance since becoming a mother. Grass has two school-age children and for her, the possibility of developing technologies that help detect disease earlier and personalize treatments isn’t just a scientific goal; it’s one she hopes will shape the future of medicine for the next generation.
“I want to contribute to a future where medicine understands the body physiology well enough to predict disease instead of simply reacting to it, personalize therapies with greater precision, and ultimately give families more healthy years together,” she says. “Because once you become a parent, every scientific question becomes deeply human.”
The complexity of Grass’ research has required her to step well beyond her original training. After studying neuroscience and immunology, she immersed herself in materials science, systems physiology, device fabrication, bioelectronics, and surgery to develop the tools needed to answer fundamental biological questions.
“The scientific question was bigger than any one discipline,” she says. “HST taught me to begin with biology, not disciplines. Once you understand the biological principles, medicine, engineering, and science stop being separate fields. They become complementary ways of answering the same question.”
The constant need to learn a new discipline has been both the most rewarding and challenging part of Grass’ research so far.
“Every time I crossed into a new discipline, I felt like an immigrant again,” she says. “I had to learn a new language, understand a new culture, and earn the trust of people who had spent their careers there.”
Grass’ passion for understanding cultures extends well beyond the lab. Soon after arriving at MIT, she co-founded the Graduate First-Generation Low-Income Student Group to create a supportive space for students and connect them with the resources they need to thrive. What began as a small initiative has grown into a community of more than 300 graduate students representing over 60 countries, connecting students with faculty, alumni, entrepreneurs, and industry leaders.
“It has been really rewarding to see new GFLI leaders emerge and continue this legacy,” Grass says.
As an avid traveler, Grass’ favorite pastime is exploring new cultures, whether that be through learning a new traditional recipe or a new language. She speaks four languages fluently and can say “thank you” in roughly 50 more.
Whether she’s cooking Thai food with her children or introducing friends to recipes from around the world, she sees food as another language capable of connecting people across cultures. That same philosophy shapes how she thinks about science.
“I’ve realized that every culture has its own language and every scientific discipline its own way of understanding the world,” she says. “Looking back, every stage of my life has been about understanding how complex systems communicate. Today, my goal is to help medicine understand the principles that govern communication across the human body in health and disease.”
For energy systems that power a reliable grid, the future is all about locationMIT researchers find that where new energy projects are built could be key to avoiding blackouts in a future with hotter weather and other challenges.Will a warming climate and changing weather patterns lead to more grid blackouts and other energy disruptions? Answering that question requires studying both regional climate forecasts and local energy systems, including emerging renewable generation, storage, transmission lines, and demand forecasts. The lack of such studies is one reason why energy developers and grid operators rarely consider climate change when deciding where to build their next project.
Now MIT researchers have created a way to make more climate-informed energy siting choices, and shown how it can be used to make energy systems more resilient and reduce blackouts. The researchers’ framework, described today in Nature Energy, combines fine-scale meteorology with detailed simulations of energy infrastructure. It shows how the location of new energy projects will play a significant role in meeting future demand in a changing climate.
The researchers applied their framework to decarbonized energy systems in New England and Texas, finding that energy systems designed for historic climate conditions could face up to a fivefold increase in energy shortfalls, potentially leading to blackouts, by 2050. Taking climate change into account when designing the system, conversely, improved the resilience of both regions’ energy systems at no or very little additional costs.
“As we mitigate climate change with renewables, we can also adapt to climate change by using future weather projections in our power system planning, and the extra costs of that adaptation are, at least in this study, not much,” says senior author Michael Howland, MIT’s Jeffrey Cheah Career Development Professor. “It’s different from other climate adaptation studies, where building a big seawall or other mitigation efforts are really expensive. In this case, if we’re smart when we design our power system decarbonization plans, it could cost almost nothing extra to simultaneously adapt to climate change.”
Joining Howland on the paper are first author Liying Qiu, a former MIT postdoc; Rahman Khorramfar and Shen Wang, current postdocs at MIT; and Saurabh Amin, MIT’s Edmund K. Turner Professor in Civil Engineering.
A better way to think about energy projects
The world’s energy systems are in a period of change. On the demand side, that change is driven by trends like the rising demand for artificial intelligence and the electrification of industries including transportation. On the supply side, that change is driven by the plummeting costs of renewable systems like solar and wind energy.
“That drop in costs has enabled the widespread deployment of renewables, because they’re the cheapest electricity-generation solution in many locations,” Howland explains. “At the same time, for the first time in more than a decade, electricity demand is starting to increase in the U.S.”
As low-cost variable renewable energy supplies increase, matching supply and demand throughout the day can become a harder problem for energy system operators. Adding to that complexity is the fact that renewables and energy demand are both influenced by weather and climate in different ways in different regions.
In the past, researchers have generally studied the impacts of climate change on individual technologies, for instance studying how it might change global wind and solar patterns. Other studies have considered the impact of climate change on states or other large areas, overlooking the specifics of regional energy systems. More recently, region-specific studies have been done but typically relied on low-resolution, global climate models.
“That’s what climate models are good at: giving you the global picture at coarse resolution,” Howland explains. “That limits insights for regional system planning and risk assessments.”
For their paper, the MIT researchers chose to study Texas and New England because they provided two different climate types and energy systems. The team used fine-scale meteorology models and considered the influence of climate change on weather-related energy failures.
“This study explores the joint, simultaneous impacts on multiple components of the energy system, similar to compound events studied in climate science,” Howland explains. “An extreme weather event can impact wind and solar generation and electricity demand all at the same time. Our hypothesis is that’s likely to be the biggest impact we’ll see from climate change on energy systems.”
The researchers also considered the impact of using climate change models to help site energy projects, looking out to 2050 because that’s the typical lifetime of wind and solar plants being built today. They found that locations that are best suited to provide the renewable wind and solar energy that the grid needs were meaningfully different in future climate conditions than in the historic climate.
The researchers found that climate change could increase energy failures by as much as 500 percent by 2050 if the siting did not consider future climate conditions. Such failures were driven primarily by the interaction between multiday renewable shortfalls and energy system design decisions like where to build solar farms and transmission lines.
“We are telling people where you put your wind and solar matters a lot for your ability to deliver energy when you need it,” Qiu explains. “We need to think more about the when and where of adding renewables rather than only focusing on adding overall capacity.”
In New England’s power system, the researchers found that energy supply disruptions caused by climate-related weather changes necessitate investment in solar capacity and transmission lines close to energy demand centers like cities. In Texas, energy disruption risks were primarily driven by transmission constraints.
The researchers found that climate-informed designs would prioritize adding wind farms in West Texas to better align with future demand patterns. The study assumes both regions will continue adding renewable capacity, thus the researchers concluded that Texas could improve the resilience of its grid at near-zero additional cost.
“We are showing that increasing energy resilience requires more than just spending more money,” Qiu says. “It primarily requires better and smarter planning.”
A new approach to adaptation
Howland says taking a broader view of climate change’s impact on energy systems helped his team get a clearer picture of blackout risks and other potential supply problems.
“On the individual power plant level, it’s not necessarily that climate change is a dominant uncertainty, so it really comes down to how all these energy system components and energy demand relate to each other,” Howland says. “That’s where we see the biggest impact of climate change, rather than on the level of individual wind or solar plants.”
Because the researchers used expensive, high-resolution models, Howland says their new model wouldn’t be practical for grid operators to use in their daily work today, but they hope to soon develop faster models that grid operators could use more easily.
“This study shows the opportunity and the need,” Howland says. “There are risks to not adapting our system, but if we do adapt our system, there could be big opportunities that are not costly. Now the key challenge is that we have to address the massive data and translation gap we have between meteorology and energy system planning and management. Right now, there’s too big of a divide between climate and weather modelers and power system practitioners. We want to continue to break that barrier down through interdisciplinary research.”
This work was supported by the MIT Climate Grand Challenges, the MIT Climate and Sustainability Consortium, and the MIT Energy Initiative Future Energy Systems Center.
A better way to turn 2D designs into 3D models for rapid prototypingResearchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests.
Researchers from MIT and elsewhere have now developed a system that can teach a vision-language model to automatically convert 2D designs into CAD programs that are much more accurate and functional compared to other approaches, while using only a fraction of the computation.
By improving the performance and efficiency of AI-driven CAD generation, this technique could streamline the rapid prototyping process and reduce costs. It could also help engineers identify beneficial design choices they might otherwise overlook.
The system generates new data based on the model’s abilities as it attempts to convert a 2D image into a CAD program. The framework corrects the model’s failures and incorporates them into a dataset with its successful solutions.
It uses these data to teach the model how to fix specific mistakes and tackle tricky problems it would struggle with on its own.
“We want engineers to be able to point our framework at an underperforming CAD model, set a compute budget, and let the system take over — turning the model’s own mistakes into better training data,” says lead author Giorgio Giannone, a research affiliate in the Design Computation and Digital Engineering (DeCoDE) Lab at MIT and a principal research scientist on the AI Innovation Team at Red Hat.
He is joined on the paper by Anna Claire Doris, a mechanical engineering graduate student at MIT; Amin Heyrani Nobari, an MIT postdoc; Kai Xu of RedHat; and co-senior authors Akash Srivastava, director of Core AI at IBM and a principal investigator at the MIT-IBM Computing Research Lab; and Faez Ahmed, associate professor of mechanical engineering at MIT, leader of the DeCoDE Lab, and a principal investigator at the MIT-IBM Computing Research Lab. The research was recently presented at the International Conference on Machine Learning.
“Nearly every physical product around us, from airplanes to appliances, begins its life as a CAD model. Industry teams are eager for AI that can help speed-up the creation of these designs, but today's models often produce simple shapes inadequate for practice. What excites me about this work is that it gives many image-to-CAD-code models a way to improve themselves, learning from their own errors rather than waiting for more human-made data — and that brings trustworthy AI design tools much closer to everyday engineering,” says Ahmed.
Model-aware data
The researchers are working toward building vision-language models (VLMs) for CAD generation. These VLMs take a 2D image and some descriptive text, and output Python code that can be executed in a CAD software program to generate a 3D model of a physical object.
They studied the challenges of deploying existing VLMs for this task and determined the main bottleneck that limits their capabilities is the lack of diverse, high-quality CAD datasets to train them.
To remedy this, they sought to create new data to teach a model how to perform CAD generation, using a process known as data augmentation.
In data augmentation, scientists typically create new data by randomly tweaking existing data to generate more samples, often by adjusting the color, size, and shape of objects in images.
Instead, the MIT researchers built a data augmentation system called GIFT (which stands for Geometric Inference Feedback Tuning) that generates data designed to improve the performance of one VLM for a specific task.
GIFT develops an understanding of the model’s strengths and weaknesses by testing it. Then it uses this knowledge to generate data that could improve the model’s performance on the CAD generation problems it struggles to solve.
“We want to obtain data augmentation that is informed by the model itself,” Giannone says.
Learning from mistakes
To do this, GIFT asks the model to generate code that solves a CAD generation problem multiple times in parallel. It checks the correctness of these guesses to understand how well the model can solve this problem.
“For a model, generating CAD query code that is almost correct is not that hard, but generating code that is perfectly correct and can be executed is much more challenging for a standard VLM,” Giannone says.
For guesses that are nearly correct, GIFT adjusts them to become successful solutions. It saves these “near-misses” and successful solutions in a new dataset that can teach the model how to overcome problems that would usually trip it up.
“If we sample the model 10 times and it generates 10 correct answers to the same problem, then there is not much for it to learn. We care about the in-between cases, where the model might only solve the problem 50 percent of the time,” he says.
Using these in-between cases allows GIFT to generate data augmentations that are both model-aware and task-aware. In addition, by incorporating multiple correct solutions to the same problem, the new data expand the model’s general knowledge of CAD code generation.
This automatic system does not require human intervention to correct the model’s mistakes.
GIFT creates data augmentations from a pre-trained VLM using a process known as inference-time scaling. This process allows a static model, which has already been trained, to generate better outputs without the high computational costs of retraining the entire model.
Using inference-time scaling, the user can determine how much computation they want to use for GIFT, tailoring it to their time and budget constraints.
GIFT outperformed several competing techniques, generating CAD programs that were more accurate while using only about 20 percent as much computation. The CAD models generated by VLMs using GIFT were better aligned with the shapes of ground-truth models.
“With GIFT, we started with geometry because with engineering problems, if the geometry of a 3D shape is not correct, nothing else will be correct, but there are many other aspects to consider,” Giannone says.
In the future, the researchers want to expand GIFT so the framework can teach models to generate CAD programs that improve the performance and manufacturability of 3D models. They also want to apply the system to larger models and more diverse CAD generation tasks.
This research was funded, in part, by the MIT-IBM Computing Research Lab.
MIT Professor Susumu Tonegawa, renowned molecular biologist and Nobel laureate, dies at 86Tonegawa made landmark discoveries about how the immune system generates antibody diversity and how the brain forms memories.Susumu Tonegawa, the Picower Professor of Biology and Neuroscience at MIT and a Nobel laureate, died July 11 at the age of 86.
Tonegawa was a renowned molecular biologist who wielded his keen insight in a variety of fields, including immunology and neuroscience. In the early 1980s, Tonegawa discovered how the immune system generates its incredible diversity of antibodies — a breakthrough that earned him the Nobel Prize in Physiology or Medicine in 1987.
Following that landmark achievement, he turned his attention to neuroscience, where his work has helped to reveal how the brain stores memories as traces called “engrams.”
An MIT faculty member for more than 40 years, Tonegawa also served as the founding director of MIT’s Picower Institute for Learning and Memory and director of the RIKEN Brain Science Institute of Japan, and was a Howard Hughes Medical Institute Investigator.
“Few scientists have reshaped our understanding of biology as profoundly as Susumu Tonegawa,” says Myriam Heiman, director of the Picower Institute. “His intellectual fearlessness, extraordinary creativity, and relentless pursuit of fundamental questions opened entirely new frontiers in both immunology and neuroscience. His influence on science and on the people who had the privilege of working alongside him is immeasurable.”
Drawn to molecular biology
Born in Nagoya, Japan, Tonegawa spent his early years moving between rural towns, due to his father’s job as an engineer for a textile company. When it was time for him to go to high school, his parents sent him to a school in Tokyo, where he became interested in chemistry.
He was admitted to the University of Kyoto to study chemistry, and while there, he was drawn to the nascent field of molecular biology. He began his graduate studies at the Institute for Virus Research at the University of Kyoto, but after only a couple of months, his advisor, Professor Itaru Watanabe, suggested that he apply to a school in the United States, which had more advanced molecular biology programs.
Tonegawa took that advice and was accepted at the University of California at San Diego, where he studied how a virus called phage lambda controls gene transcription. After earning his PhD in 1968, he went on to a postdoc in a lab at the Salk Institute.
In that lab, Tonegawa began studying gene expression of a virus known as SV40. However, his U.S. visa was set to expire at the end of 1970, so he soon headed for a position at the newly established Basel Institute for Immunology in Switzerland.
At the time, Tonegawa had little background in immunology, but he soon became fascinated by the 100-year-old question of “antibody diversity” — how the body’s immune system is able to generate hundreds of millions of antibodies from a relatively small set of genes. (The entire human genome contains about 20,000 genes.) That antibody diversity is what allows the immune system to recognize so many pathogens, including those it has never seen before.
With colleagues in Basel, Tonegawa discovered that each antibody protein is not encoded by its own gene — instead, genes for different components of the antibody can be randomly recombined to generate limitless combinations.
In 1987, Tonegawa was a solo recipient of the Nobel Prize for discovering that process, known as V(D)J gene rearrangement. In announcing the award, the Nobel committee noted that Tonegawa’s discoveries “explain the genetic background allowing the enormous richness of variation amongst antibodies. Beyond deeper knowledge of the basic structure of the immune system these discoveries will have importance in improving immunological therapy of different kinds, such as for instance the enforcement of vaccinations and inhibition of reactions during transplantation.”
From antibodies to engrams
In the early 1980s, after his groundbreaking antibody discoveries, Tonegawa began to feel the urge to turn to new research directions. He also wanted to return to the United States, so in 1981, he accepted the offer of a professorship at MIT’s Center for Cancer Research (today known as the Koch Institute for Integrative Cancer Research). There, he began working on T cells and contributed to scientists’ understanding of how T cells are able to generate a large diversity of T-cell receptors.
While at the CCR, he also began to study questions in neuroscience. As he told an interviewer from the Picower Institute in 2022, he was always in search of new scientific endeavors to keep him interested in his work.
“When I decided to become a scientist, my criteria of what to do was whether the scientific problem I got to solve was interesting or not. Whether I’m curious our not. I didn’t think about other things like, Could it be too risky? Can I really develop my career by venturing into the field I am not familiar with? That never occurred to me. I just followed my curiosity and instinct,” Tonegawa said in an interview published in the summer 2022 Picower Institute newsletter.
In 1994, he was chosen as the founding director for MIT’s Center for Learning and Memory, which became the Picower Institute for Learning and Memory in 2002. Tonegawa continued to serve as the center’s director until the end of 2006.
Professor Li-Huei Tsai, who succeeded Tonegawa as the Picower Institute’s director, calls working alongside Tonegawa “one of the greatest honors of my career.”
“His passion, boundless energy, and unwavering pursuit of the fundamental mechanisms underlying memory were contagious, inspiring generations of neuroscientists to join and advance the field. Today, we lost a giant. His scientific legacy will continue to shape neuroscience for years to come, and he will be deeply missed by all of us,” she says.
Over the past two decades, Tonegawa’s lab has made significant discoveries in the field of memory research. In 2013, he and his colleagues reported that they had identified “engrams” in the brain’s hippocampus. These engrams consist of episodic memories — memories of experiences — that are stored in specific groups of hippocampal cells. Engrams encode elements including objects, space, and time, linked to a specific experience.
At that time, the researchers also found that it was possible to implant “false memories” in mice by using optogenetics to reactivate an existing engram while the animals formed a new memory. This prompted the mice to associate a new location with the memory of an event that had actually happened in a different location.
Later work from Tonegawa’s lab showed that engrams extend beyond the hippocampus and are stored across a widely distributed complex that spans many brain circuits. More recently, he had been working on engrams of “knowledge memory” to decipher the fundamental mechanism of abstract memory. His recent work also delved into how the emotional associations of memories are encoded, and how the brain maintains a timeline of chronological events.
In addition to the Nobel Prize, Tonegawa received many other awards, including the Albert and Mary Lasker Award for Basic Research in 1987, the Bristol-Myers Award for Distinguished Achievement in Cancer Research in 1986, and the David M. Bonner Lifetime Achievement Award from the University of California at San Diego in 2010. He was also known for training many scientists who are now leaders in the field of neuroscience.
Tonegawa was a longtime fan of the Boston Red Sox, and in May 2004, he had the opportunity to throw out the ceremonial first pitch at Fenway Park, as part of the team’s tribute to the Boston area’s scientific and medical communities.
He is survived by his wife, Mayumi Tonegawa ’92, two children, Hidde Tonegawa ’09 and Hanna Tonegawa, and two grandchildren. He was predeceased by a son, Satto Tonegawa.
Following a private funeral, his ashes will be buried in Kyoto, Japan.
Ketogenic diets may increase cancer risk in the small intestineMIT researchers have found that a ketogenic high-fat, low-carbohydrate diet fuels the growth of intestinal tumors.A high-fat, low-carbohydrate diet, also called a ketogenic diet, can help some people lose weight by forcing their bodies to burn fat for fuel instead of sugar.
In recent years, scientists have been exploring how this type of diet might affect other aspects of health and disease, including cancer. While some research has shown that the diet may protect against the development of colon cancer, a new study by MIT researchers suggests that in the small intestine, a ketogenic diet may increase the risk of cancer.
“Ketogenic diets have distinct effects on different tissues even within the gastrointestinal tract. I think the message here is that we need to be very careful in generalizing the effects that these diets can have, because what might be beneficial for one tissue may be detrimental for another tissue,” says Omer Yilmaz, director of the MIT Stem Cell Initiative, an associate professor of biology at MIT, and a member of MIT’s Koch Institute for Integrative Cancer Research.
Yilmaz is the senior author of the study, which appears today in Nature. MIT postdocs Jessica Shay and Fangtao Chi are the lead authors of the paper. Researchers from the labs of Alex K. Shalek, director of MIT’s Institute for Medical Engineering and Science, and Matthew Vander Heiden, director of the Koch Institute, also contributed to the study.
Diet and cancer
Ketogenic diets, originally developed in the 1920s as a way to treat epilepsy, have been adapted in the past few decades as a strategy to lose weight or increase lifespan. The diet comprises a high percentage of fat, low percentage of carbohydrates, and normal or reduced amounts of protein.
This type of diet forces the body to burn fatty acids for energy in place of carbohydrates such as glucose. Burning these lipids produces ketone bodies — primarily β-hydroxybutyrate (BHB) and acetoacetate — as byproducts of fatty acid metabolism. These ketone bodies are also generated when people fast or follow very low-calorie diets, which force the body to burn its own fatty stores.
A 2022 Nature study suggested that ketogenic diets have a protective effect against colon cancer and that BHB — the most abundant ketone body — is responsible for this effect. In the new Nature study, the MIT team wanted to explore whether ketogenic diets might have a similar protective effect in the small intestine.
The researchers fed mice who were genetically predisposed to developing intestinal cancer either a ketogenic diet, a control diet, or a high fat/high calorie diet. They found that mice on a ketogenic diet were more likely to develop tumors of the small intestine than those on a control diet. While they did not become obese, mice on the ketogenic diet developed tumors at rates similar to or even higher than those of mice on an obesogenic high fat/high calorie diet.
Additional studies revealed that ketone bodies did not play a role in tumor development. Instead, tumor growth was driven by how intestinal cells burn dietary fat for energy — a metabolic pathway called fatty acid oxidation. This pathway activates a family of proteins called PPARs, which signal stem cells to multiply more rapidly, increasing the chance that some become cancerous.
This stem cell proliferation can be beneficial in certain situations, such as when the intestinal lining needs to be repaired after illness or injury. However, too much proliferation can tip cells toward becoming cancerous.
“Having more stem cells means that when you injure the small intestine, it can repair itself better, but the downside is that having more active stem cells can lead to tumor formation,” Yilmaz says.
Opposite effects
Surprisingly, the same ketogenic diet that promoted tumors in the small intestine had the opposite effect in the colon. The researchers found, similar to the earlier Nature study back in 2022, that a ketogenic diet suppressed the development of colon tumors. However, the new findings suggest that ketone bodies are not responsible for this protective effect.
“Given how much attention has been paid to ketone bodies like BHB, both as a commercial health trend and in recent high-profile studies suggesting BHB suppresses colon cancer, we fully expected them to be the direct drivers. Instead, our experiments in genetically engineered mice revealed that these molecules are essentially metabolic bystanders. The real surprise is that tumor acceleration is driven entirely by how stem cells process and burn the heavy influx of dietary fat itself,” Yilmaz says.
The researchers now hope to further study why ketogenic diets have such different effects in the colon and the small intestine. As ketogenic diets continue to gain popularity, understanding these tissue-specific effects will be critical for guiding their use, the researchers say.
“The deeper question is why the same diet has opposite consequences in two adjacent parts of the gut. That is what we are working to understand next,” Chi says.
The findings carry practical implications. Because the diet’s effects — both the tumor acceleration in the small intestine and the protection in the colon — are driven entirely by fat metabolism rather than the ketones themselves, commercial ketone supplements or drinks would not be expected to mimic either the risks or the benefits discovered in this study. This may be especially relevant given that small intestinal tumors have been rising in incidence in recent decades, with the greatest impact on patients with inherited conditions that predispose them to intestinal cancer, such as familial adenomatous polyposis.
The research was funded, in part, by the National Institutes of Health, a Pew-Stewart Trust scholar award, the Kathy and Curt Marble cancer research award, a Koch Institute-Dana Farber/Harvard Cancer Center Bridge project grant, the American Federation for Aging Research, the MIT Stem Cell Initiative, a Damon Runyon Postdoctoral Research Fellowship, and the Koch Institute Support (core) grant from the National Cancer Institute.