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      in Environment

      Bringing the environment to the forefront of engineering

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      In a recent podcast interview with MIT President Sally Kornbluth, Associate Professor Desirée Plata described her childhood pastime of roaming the backyards and businesses of her grandmother’s hometown of Gray, Maine. Through her wanderings, Plata noticed a disturbing pattern.

      “I was 7 or 8 when I caught wind of all the illness,” Plata recalls. “It seemed like in every other house there was somebody who had a neurological disorder or a cancer of some sort.”

      While driving home one night with her mom, Plata made her first environmental hypothesis from the back seat. “I told my mom, ‘I think there’s something in the water or air where these people live.’”

      The conversation happened in the late 1980s. Plata was a little older when she learned her intuition was correct: The Environmental Protection Agency determined that a waste disposal facility had contaminated drinking water in the area while processing more than 1 million gallons of waste between 1965 and 1978.

      “There was a New York Times article on it, but it was sort of buried in a Sunday paper and a lot of folks up in Maine didn’t hear about it,” Plata says.

      What most struck Plata was that Gray was a tight-knit community, and the people who owned the waste disposal facility were friends with everybody. Eventually, some of the owner’s children even got sick.

      “People don’t poison their neighbors on purpose,” Plata says. “A lot of industrial contamination happens either by accident or because the engineers don’t know better. As an environmental scientist and engineer, it’s part of my job to help industrial engineers of any variety design their systems and processes such that they are thinking about what’s going into the environment from the start.”

      The insight led Plata to MIT, first as a PhD student, then as a visiting professor, and today as the newly tenured associate professor of civil and environmental engineering.

      These days Plata’s work is a bit more complex than her early backseat musings. In fact, her efforts extend far beyond research and include mentoring students, entrepreneurship, coalition-building, and coordination across industry, academia, and government. But the work can still be traced back to the childhood insight that environmental optimization needs to be a more tangible and important part of everyone’s thinking.

      “People think sustainability is this nebulous thing they can’t get their hands around,” Plata says. “But there are actually a set of rigorous principles you can use, and each one of those has a metric or a thing you can measure to go with it. MIT is such an innovative place. If we can incorporate environmental objectives into design at a place like MIT, the hope is the world can engage as well.”

      Taking the plunge

      Plata was first introduced to environmental research in high school, but it wasn’t until she attended Union College and got to work in a research lab that she knew it was what she’d do for the rest of her life.

      After graduating from Union, Plata decided to skip a master’s degree and “take the plunge” into the MIT-Woods Hole Oceanographic Institution (WHOI) joint doctoral program.

      “Talk about drinking from a firehose,” Plata says. “Everybody you bump into knows something that can help you solve the very hard problem you’re working on.”

      Plata began the program studying oil spills, and a paper she co-authored helped spur a law that changed the way oil is transported off the coast of Massachusetts. But developments in her personal life made her want to prevent environmental disasters before they happen.

      In her last year at Union, Plata’s aunt was diagnosed with breast cancer — a disease that’s been linked to one of the chemicals dumped in Gray, Maine. While Plata was at MIT, her aunt was receiving treatment at Massachusetts General Hospital down the road, so Plata would work at the lab at night, stay with her aunt during treatments all day, and go home with her on the weekends.

      “As I’m sampling oil, I’m recognizing that nothing I’m doing is going to help women like her escape the illness,” Plata recalls.

      In her third year of the MIT-WHOI program, Plata shifted her research to explore how industrial emissions generated during the creation of materials known as carbon nanotubes could inform how those valuable new materials were forming. The work led to a dramatically more sustainable way to make the materials, which are needed for important environmental applications themselves.

      After earning her PhD, Plata served as a visiting professor at MIT for two years before working in faculty positions at Duke University and Yale University, where she studied green chemistry and green optimization. She returned to MIT as an assistant professor in civil and environmental engineering in 2018.

      Working beyond academia

      While at Yale, Plata started a company, Nth Cycle, which uses electric currents to extract critical minerals like cobalt and nickel from lithium-ion batteries and other electronic waste. The company began commercial production last year.

      Plata also works extensively with government and industry, serving on a Massachusetts committee that published a roadmap to decarbonizing the state by 2050 and advising companies both formally and informally. (She estimates she gets a call every two weeks from a new company working on a sustainability problem.)

      “It’s undeniable that industry has an enormous impact on the environment,” Plata says. “Some like to think the government can wave a magic wand and make some regulation and we won’t be in this situation, but that’s not the case. There are technical challenges that need to be solved and businesses play an incredibly important role as agents of change.”

      Plata’s research at MIT, meanwhile, is focused increasingly on methane. Last year she helped create the MIT Methane Network, which she directs.

      Plata’s research has explored ways to convert methane into less harmful carbon dioxide and other fuels in places like dairy farms and coal plants. This past summer she took a team of students to dairy barns to conduct field tests.

      “If you could take methane from coal mining out of the air globally, it’s equivalent to taking all of the combustion engine vehicles off the road, even accounting for the small generation of CO2 that we have [as the result of our process],” Plata says. “If you can fix the problem at dairy farms, it’s like all the combustion engine vehicle emissions times three. It’s a hugely impactful number.”

      Taking action

      When Plata was in fourth grade, her teacher had students pick up trash around a nearby bay. She’s since done the exercise with other fourth graders.

      “You ask them what they think they’ll find, and they say, ‘Nothing. I didn’t see any trash on the way to school today,’ but when you ask them to look, everybody fills their bag by the end of the trip, and you start to realize how much fugitive emissions of waste exists, and then you start to start thinking about all of the chemical contamination that you can’t see,” Plata says.

      One of Plata’s chief research goals can be summed up with that exercise: getting people to appreciate the importance of environmental criteria and motivating them to take action.

      “Today, I see people looking for these silver bullet solutions to solve environmental problems,” Plata says. “That’s not how we got into this mess, and it’s not how we’re going to get out of it. The problem is really distributed, so what we really need is the sum of a lot of small actions to change the system.” More

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      in Energy

      Celebrating Kendall Square’s past and shaping its future

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      Kendall Square’s community took a deep dive into the history and future of the region at the Kendall Square Association’s 15th annual meeting on Oct. 19.

      It’s no secret that Kendall Square, located in Cambridge, Massachusetts, moves fast. The event, titled “Looking Back, Looking Ahead,” gave community members a chance to pause and reflect on how far the region has come and to discuss efforts to shape where it’s going next.

      “The impact of the last 15 years of working together with a purposeful commitment to make the world a better place was on display this evening,” KSA Executive Director Beth O’Neill Maloney told the audience toward the end of the evening. “It also shows how Kendall Square can continue contributing to the world.”

      The gathering took place at the Microsoft NERD Center on Memorial Drive, on a floor that also featured music from the Kendall Square Orchestra and, judging by the piles of empty trays at the end of the night, an exceedingly popular selection of food from Kendall Square restaurants. Attendees came from across Cambridge’s prolific innovation ecosystem — not just entrepreneurs and life science workers but also high school and college students, restaurant and retail shop owners, workers at local cleantech and robotics companies, and leaders of nonprofits.

      KSA itself is a nonprofit made up of over 150 organizations across Kendall Square, from major companies to universities like MIT to research organizations like the Broad Institute of MIT and Harvard and the independent shops and restaurants that give Kendall Square its distinct character.

      The night’s programming included talks about recent funding achievements in the region, a panel discussion on the implications of artificial intelligence, and a highly entertaining, whirlwind history lesson led by Daniel Berger-Jones of Cambridge Historical Tours.

      “Our vision for the state is to be the best, and Kendall really represents that,” said Yvonne Hao, Massachusetts secretary of economic development. “When I went to DC to talk to folks about why Massachusetts should win some of these grants, they said, ‘You already have Kendall, that’s what we’re trying to get the whole country to be like!’”

      Hao started her talk by noting her personal connection to Kendall Square. She moved to Cambridge with her family in 2010 and has watched the neighborhood transform, with her kids frequenting the old and new restaurants and shops around town.

      The crux of Hao’s talk was to remind attendees they had more to celebrate than KSA’s anniversary. Massachusetts was recently named the recipient of two major federal grants that will fuel the state’s innovation work. One of those grants, from the Advanced Research Projects Agency for Health (ARPA-H), designated the state an “Investor Catalyst Hub” to accelerate innovation around health care. The other, which came through the federal CHIPS and Science Act, will allow the state to establish the Northeast Microelectronics Coalition Hub to advance microelectronics jobs, workforce training opportunities, and investment in the region’s advanced manufacturing.

      Hao recalled making the pitch for the grants, which could collectively amount to hundreds of millions of dollars in funding over time.

      “The pitch happened in Kendall Square because Kendall highlights everything magical about Massachusetts — we have our universities, MIT, we have our research institutions, nonprofits, small businesses, and great community members,” Hao said. “We were hoping for good weather because we wanted to walk with government officials, because when you walk around Kendall, you see the art, you see the coffee shops, you see the people bumping into each other and talking, and you see why it’s so important that this one square mile of geography become the hub they were looking for.”

      Hao is also part of work to put together the state’s newest economic development plan. She said the group’s tier one priorities are transportation and housing, but listed a number of other areas where she hopes Massachusetts can improve.

      “We can be an amazing, strong economy that’s mission-driven and innovation-driven with all kinds of jobs for all kinds of people, and at the same time an awesome community that loves each other and has great food and small businesses and looks out for each other, that looks diverse just like this room,” Hao said. “That’s the story we want to tell.”

      After the historical tour and the debut of a video explaining the origins of the KSA, attendees fast-forwarded into the future with a panel discussion on the impact and implications of generative AI.

      “I think the paradigm shift we’re seeing with generative AI is going to be as transformative as the internet, perhaps even more so because the pace of adoption is much faster now,” said Microsoft’s Soundar Srinivasan.

      The panel also featured Jennat Jounaidi, a student at Cambridge Rindge and Latin School and member of Innovators for Purpose, a nonprofit that seeks to empower young people from historically marginalized groups to become innovators.

      “I’m interested to see how generative AI shapes my upbringing as well as the lives of future generations, and I think it’s a pivotal moment to decide how we can best develop and incorporate AI into all of our lives,” Jounaidi said.

      Panelists noted that today’s concerns around AI are important, such as its potential to perpetuate inequality and amplify misinformation. But they also discussed the technology’s potential to drive advances in areas like sustainability and health care.

      “I came to Kendall Square to do my PhD in AI at MIT back when the internet was called the ARPA-Net… so a while ago,” said Jeremy Wertheimer SM ’89, PhD ’96. “One of the dreams I had back then was to create a program to read all biology papers. We’re not quite there yet, but I think we’re on the cusp, and it’s very exciting.

      Above all else, the panelists characterized AI as an opportunity. Despite all that’s been accomplished in Kendall Square to date, the prevailing feeling at the event was excitement for the future.

      “Generative AI is giving us chance to stop working in siloes,” Jounaidi said. “Many people in this room go back to their companies and think about corporate responsibility, and I want to expand that to creating shared value in companies by seeking out the community and the people here. I think that’s important, and I’m excited to see what comes next.” More

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      in Energy

      3 Questions: What should scientists and the public know about nuclear waste?

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      Many researchers see an expansion of nuclear power, which produces no greenhouse gas emissions from its power generation, as an essential component of strategies to combat global climate change. Yet there is still strong resistance to such expansion, and much of that is based on the issue of how to safely dispose of the resulting radioactive waste material. MIT recently convened a workshop to help nuclear engineers, policymakers, and academics learn about approaches to communicating accurate information about the management of nuclear waste to students and the public, in hopes of allaying fears and encouraging support for the development of new, safer nuclear power plants around the world.

      Organized by Haruko Wainwright, an MIT assistant professor of nuclear science and engineering and of civil and environmental engineering, the workshop included professors, researchers, industry representatives, and government officials, and was designed to emphasize the multidisciplinary nature of the issue. MIT News asked Wainwright to describe the workshop and its conclusions, which she reported on in a paper just published in the Journal of Environmental Radioactivity.

      Q: What was the main objective of the this workshop?

      A: There is a growing concern that, in spite of much excitement about new nuclear reactor deployment and nuclear energy for tackling climate change, relatively less attention is being paid to the thorny question of long-term management of the spent fuel (waste) from these reactors. The government and industry have embraced consent-based siting approaches — that is, finding sites to store and dispose nuclear waste through broad community participation with equity and environmental justice considered. However, many of us in academia feel that those in the industry are missing key facts to communicate to the public.

      Understanding and managing nuclear waste requires a multidisciplinary expertise in nuclear, civil, and chemical engineering as well as environmental and earth sciences. For example, the amount of waste per se, which is always very small for nuclear systems, is not the only factor determining the environmental impacts because some radionuclides in the waste are vastly more mobile than others, and thus can spread farther and more quickly. Nuclear engineers, environmental scientists, and others need to work together to predict the environmental impacts of radionuclides in the waste generated by the new reactors, and to develop waste isolation strategies for an extended time.

      We organized this workshop to ensure this collaborative approach is mastered from the start. A second objective was to develop a blueprint for educating next-generation engineers and scientists about nuclear waste and shaping a more broadly educated group of nuclear and general engineers.

      Q: What kinds of innovative teaching practices were discussed and recommended, and are there examples of these practices in action?

       A: Some participants teach project-based or simulation-based courses of real-world situations. For example, students are divided into several groups representing various stakeholders — such as the public, policymakers, scientists, and governments — and discuss the potential siting of a nuclear waste repository in a community. Such a course helps the students to consider the perspectives of different groups, understand a plurality of points of view, and learn how to communicate their ideas and concerns effectively. Other courses may ask students to synthesize key technical facts and numbers, and to develop a Congressional testimony statement or an opinion article for newspapers. 

      Q: What are some of the biggest misconceptions people have about nuclear waste, and how do you think these misconceptions can be addressed?

      A: The workshop participants agreed that the broader and life-cycle perspectives are important. Within the nuclear energy life cycle, for example, people focus disproportionally on high-level radioactive waste or spent fuel, which has been highly regulated and well managed. Nuclear systems also produce secondary waste, including low-level waste and uranium mining waste, which gets less attention.

      The participants also believe that the nuclear industry has been exemplary in leading the environmental and waste isolation science and technologies. Nuclear waste disposal strategies were developed in the 1950s, much earlier than other hazardous waste which began to receive serious regulation only in the 1970s. In addition, current nuclear waste disposal practices consider the compliance periods of isolation for thousands of years, while other hazardous waste disposal is not required to consider beyond 30 years, although some waste has an essentially infinite longevity, for example, mercury or lead. Finally, there is relatively unregulated waste — such as CO2 from fossil energy, agricultural effluents and other sources — that is released freely into the biosphere and is already impacting our environment. Yet, many people remain more concerned about the relatively well-regulated nuclear waste than about all these unregulated sources.

      Interestingly, many engineers — even nuclear engineers — do not know these facts. We believe that we need to teach students not just cutting-edge technologies, but also broader perspectives, including the history of industries and regulations, as well as environmental science.

      At the same time, we need to move the nuclear community to think more holistically about waste and its environmental impacts from the early stages of design of nuclear systems. We should design new reactors from the “waste up.”  We believe that the nuclear industry should continue to lead waste-management technologies and strategies, and also encourage other industries to adopt lifecycle approaches about their own waste to improve the overall sustainability. More

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      in Energy

      MIT design would harness 40 percent of the sun’s heat to produce clean hydrogen fuel

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      MIT engineers aim to produce totally green, carbon-free hydrogen fuel with a new, train-like system of reactors that is driven solely by the sun.

      In a study appearing today in Solar Energy Journal, the engineers lay out the conceptual design for a system that can efficiently produce “solar thermochemical hydrogen.” The system harnesses the sun’s heat to directly split water and generate hydrogen — a clean fuel that can power long-distance trucks, ships, and planes, while in the process emitting no greenhouse gas emissions.

      Today, hydrogen is largely produced through processes that involve natural gas and other fossil fuels, making the otherwise green fuel more of a “grey” energy source when considered from the start of its production to its end use. In contrast, solar thermochemical hydrogen, or STCH, offers a totally emissions-free alternative, as it relies entirely on renewable solar energy to drive hydrogen production. But so far, existing STCH designs have limited efficiency: Only about 7 percent of incoming sunlight is used to make hydrogen. The results so far have been low-yield and high-cost.

      In a big step toward realizing solar-made fuels, the MIT team estimates its new design could harness up to 40 percent of the sun’s heat to generate that much more hydrogen. The increase in efficiency could drive down the system’s overall cost, making STCH a potentially scalable, affordable option to help decarbonize the transportation industry.

      “We’re thinking of hydrogen as the fuel of the future, and there’s a need to generate it cheaply and at scale,” says the study’s lead author, Ahmed Ghoniem, the Ronald C. Crane Professor of Mechanical Engineering at MIT. “We’re trying to achieve the Department of Energy’s goal, which is to make green hydrogen by 2030, at $1 per kilogram. To improve the economics, we have to improve the efficiency and make sure most of the solar energy we collect is used in the production of hydrogen.”

      Ghoniem’s study co-authors are Aniket Patankar, first author and MIT postdoc; Harry Tuller, MIT professor of materials science and engineering; Xiao-Yu Wu of the University of Waterloo; and Wonjae Choi at Ewha Womans University in South Korea.

      Solar stations

      Similar to other proposed designs, the MIT system would be paired with an existing source of solar heat, such as a concentrated solar plant (CSP) — a circular array of hundreds of mirrors that collect and reflect sunlight to a central receiving tower. An STCH system then absorbs the receiver’s heat and directs it to split water and produce hydrogen. This process is very different from electrolysis, which uses electricity instead of heat to split water.

      At the heart of a conceptual STCH system is a two-step thermochemical reaction. In the first step, water in the form of steam is exposed to a metal. This causes the metal to grab oxygen from steam, leaving hydrogen behind. This metal “oxidation” is similar to the rusting of iron in the presence of water, but it occurs much faster. Once hydrogen is separated, the oxidized (or rusted) metal is reheated in a vacuum, which acts to reverse the rusting process and regenerate the metal. With the oxygen removed, the metal can be cooled and exposed to steam again to produce more hydrogen. This process can be repeated hundreds of times.

      The MIT system is designed to optimize this process. The system as a whole resembles a train of box-shaped reactors running on a circular track. In practice, this track would be set around a solar thermal source, such as a CSP tower. Each reactor in the train would house the metal that undergoes the redox, or reversible rusting, process.

      Each reactor would first pass through a hot station, where it would be exposed to the sun’s heat at temperatures of up to 1,500 degrees Celsius. This extreme heat would effectively pull oxygen out of a reactor’s metal. That metal would then be in a “reduced” state — ready to grab oxygen from steam. For this to happen, the reactor would move to a cooler station at temperatures around 1,000 C, where it would be exposed to steam to produce hydrogen.

      Rust and rails

      Other similar STCH concepts have run up against a common obstacle: what to do with the heat released by the reduced reactor as it is cooled. Without recovering and reusing this heat, the system’s efficiency is too low to be practical.

      A second challenge has to do with creating an energy-efficient vacuum where metal can de-rust. Some prototypes generate a vacuum using mechanical pumps, though the pumps are too energy-intensive and costly for large-scale hydrogen production.

      To address these challenges, the MIT design incorporates several energy-saving workarounds. To recover most of the heat that would otherwise escape from the system, reactors on opposite sides of the circular track are allowed to exchange heat through thermal radiation; hot reactors get cooled while cool reactors get heated. This keeps the heat within the system. The researchers also added a second set of reactors that would circle around the first train, moving in the opposite direction. This outer train of reactors would operate at generally cooler temperatures and would be used to evacuate oxygen from the hotter inner train, without the need for energy-consuming mechanical pumps.

      These outer reactors would carry a second type of metal that can also easily oxidize. As they circle around, the outer reactors would absorb oxygen from the inner reactors, effectively de-rusting the original metal, without having to use energy-intensive vacuum pumps. Both reactor trains would  run continuously and would enerate separate streams of pure hydrogen and oxygen.

      The researchers carried out detailed simulations of the conceptual design, and found that it would significantly boost the efficiency of solar thermochemical hydrogen production, from 7 percent, as previous designs have demonstrated, to 40 percent.

      “We have to think of every bit of energy in the system, and how to use it, to minimize the cost,” Ghoniem says. “And with this design, we found that everything can be powered by heat coming from the sun. It is able to use 40 percent of the sun’s heat to produce hydrogen.”

      “If this can be realized, it could drastically change our energy future — namely, enabling hydrogen production, 24/7,” says Christopher Muhich, an assistant professor of chemical engineering at Arizona State University, who was not involved in the research. “The ability to make hydrogen is the linchpin to producing liquid fuels from sunlight.”

      In the next year, the team will be building a prototype of the system that they plan to test in concentrated solar power facilities at laboratories of the Department of Energy, which is currently funding the project.

      “When fully implemented, this system would be housed in a little building in the middle of a solar field,” Patankar explains. “Inside the building, there could be one or more trains each having about 50 reactors. And we think this could be a modular system, where you can add reactors to a conveyor belt, to scale up hydrogen production.”

      This work was supported by the Centers for Mechanical Engineering Research and Education at MIT and SUSTech. More

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      in Energy

      Printing a new approach to fusion power plant materials

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      When Alexander O’Brien sent in his application for graduate school at MIT’s Department of Nuclear Science and Engineering, he had a germ of a research idea already brewing. So when he received a phone call from Professor Mingda Li, he shared it: The student from Arkansas wanted to explore the design of materials that could hold nuclear reactors together.

      Li listened to him patiently and then said, “I think you’d be a really good fit for Professor Ju Li,” O’Brien remembers. Ju Li, the Battelle Energy Alliance Professor in Nuclear Engineering, had wanted to explore 3D printing for nuclear reactors and O’Brien seemed like the right candidate. “At that moment I decided to go to MIT if they accepted me,” O’Brien remembers.

      And they did.

      Under the advisement of Ju Li, the fourth-year doctoral student now explores 3D printing of ceramic-metal composites, materials that can be used to construct fusion power plants.

      An early interest in the sciences

      Growing up in Springdale, Arkansas as a self-described “band nerd,” O’Brien was particularly interested in chemistry and physics. It was one thing to mix baking soda and vinegar to make a “volcano” and quite another to understand why that was happening. “I just enjoyed understanding things on a deeper level and being able to figure out how the world works,” he says.

      At the same time, it was difficult to ignore the economics of energy playing out in his own backyard. When Arkansas, a place that had hardly ever seen earthquakes, started registering them in the wake of fracking in neighboring Oklahoma, it was “like a lightbulb moment” for O’Brien. “I knew this was going to create problems down the line, I knew there’s got to be a better way to do [energy],” he says.

      With the idea of energy alternatives simmering on the back burner, O’Brien enrolled for undergraduate studies at the University of Arkansas. He participated in the school’s marching band — “you show up a week before everyone else and there’s 400 people who automatically become your friends” — and enjoyed the social environment that a large state school could offer.

      O’Brien double-majored in chemical engineering and physics and appreciated “the ability to get your hands dirty on machinery to make things work.” Deciding to begin exploring his interest in energy alternatives, O’Brien researched transition metal dichalcogenides, coatings of which could catalyze the hydrogen evolution reaction and more easily create hydrogen gas, a green energy alternative.

      It was shortly after his sophomore year, however, that O’Brien really found his way in the field of energy alternatives — in nuclear engineering. The American Chemical Society was soliciting student applications for summer study of nuclear chemistry in San Jose, California. O’Brien applied and got accepted. “After years of knowing I wanted to work in green energy but not knowing what that looked like, I very quickly fell in love with [nuclear engineering],” he says. That summer also cemented O’Brien’s decision to attend graduate school. “I came away with this idea of ‘I need to go to grad school because I need to know more about this,’” he says.

      O’Brien especially appreciated an independent project, assigned as part of the summer program: He chose to research nuclear-powered spacecraft. In digging deeper, O’Brien discovered the challenges of powering spacecraft — nuclear was the most viable alternative, but it had to work around extraneous radiation sources in space. Getting to explore national laboratories near San Jose sealed the deal. “I got to visit the National Ignition Facility, which is the big fusion center up there, and just seeing that massive facility entirely designed around this one idea of fusion was kind of mind-blowing to me,” O’Brien says.

      A fresh blueprint for fusion power plants

      O’Brien’s current research at MIT’s Department of Nuclear Science and Engineering (NSE) is equally mind-blowing.

      As the design of new fusion devices kicks into gear, it’s becoming increasingly apparent that the materials we have been using just don’t hold up to the higher temperatures and radiation levels in operating environments, O’Brien says. Additive manufacturing, another term for 3D printing, “opens up a whole new realm of possibilities for what you can do with metals, which is exactly what you’re going to need [to build the next generation of fusion power plants],” he says.

      Metals and ceramics by themselves might not do the job of withstanding high temperatures (750 degrees Celsius is the target) and stresses and radiation, but together they might get there. Although such metal matrix composites have been around for decades, they have been impractical for use in reactors because they’re “difficult to make with any kind of uniformity and really limited in size scale,” O’Brien says. That’s because when you try to place ceramic nanoparticles into a pool of molten metal, they’re going to fall out in whichever direction they want. “3D printing quickly changes that story entirely, to the point where if you want to add these nanoparticles in very specific regions, you have the capability to do that,” O’Brien says.

      O’Brien’s work, which forms the basis of his doctoral thesis and a research paper in the journal Additive Manufacturing, involves implanting metals with ceramic nanoparticles. The net result is a metal matrix composite that is an ideal candidate for fusion devices, especially for the vacuum vessel component, which must be able to withstand high temperatures, extremely corrosive molten salts, and internal helium gas from nuclear transmutation.

      O’Brien’s work focuses on nickel superalloys like Inconel 718, which are especially robust candidates because they can withstand higher operating temperatures while retaining strength. Helium embrittlement, where bubbles of helium caused by fusion neutrons lead to weakness and failure, is a problem with Inconel 718, but composites exhibit potential to overcome this challenge.

      To create the composites, first a mechanical milling process coats the ceramic onto the metal particles. The ceramic nanoparticles act as reinforcing strength agents, especially at high temperatures, and make materials last longer. The nanoparticles also absorb helium and radiation defects when uniformly dispersed, which prevent these damage agents from all getting to the grain boundaries.

      The composite then goes through a 3D printing process called powder bed fusion (non-nuclear fusion), where a laser passes over a bed of this powder melting it into desired shapes. “By coating these particles with the ceramic and then only melting very specific regions, we keep the ceramics in the areas that we want, and then you can build up and have a uniform structure,” O’Brien says.

      Printing an exciting future

      The 3D printing of nuclear materials exhibits such promise that O’Brien is looking at pursuing the prospect after his doctoral studies. “The concept of these metal matrix composites and how they can enhance material property is really interesting,” he says. Scaling it up commercially through a startup company is on his radar.

      For now, O’Brien is enjoying research and catching an occasional Broadway show with his wife. While the band nerd doesn’t pick up his saxophone much anymore, he does enjoy driving up to New Hampshire and going backpacking. “That’s my newfound hobby,” O’Brien says, “since I started grad school.” More

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      in Environment

      Solve Challenge Finals 2023: Action in service to the world

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      In a celebratory convergence of innovation and global impact, the 2023 Solve Challenge Finals, hosted by MIT Solve, unfolded to welcome the 2023 Solver Class. These teams, resolute in their commitment to addressing Solve’s 2023 Global Challenges and rooted in advancing the United Nation’s Sustainable Development Goals, serve as the perfect examples of the impact technology can have when addressed toward social good.

      To set the tone of the day, Cynthia Barnhart, MIT provost, called for bold action in service to the world, and Hala Hanna, MIT Solve executive director, urged the new Solver teams and attendees to harness the power of technology for benevolent purposes. “Humans have lived with the dichotomy of technology since the dawn of time. Today we find ourselves at another juncture with generative AI, and we have choices to make. So, what if we choose that every line of code heals, and every algorithm uplifts, and every device includes?” she said during the opening plenary, Tech-Powered and Locally-Led: Solutions for Global Progress.

      Global, intergenerational, and contextual change for good

      This year’s Solve Challenge Finals served as a global platform for reflection. Majid Al Suwaidi, director-general of COP28, shared the experiences that have shaped his approach to climate negotiation. He recounted a poignant visit to a United Nations High Commissioner for Refugees-facilitated refugee camp housing 300,000 climate migrants. There he met a mother and her nine children. In a sprawling camp housing 300,000 people, scarcity was evident, with just one toilet for every 100 residents. “There are people who contribute nothing to the problem but are impacted the most,” Majid emphasized, stressing the need to prioritize those most affected by climate change when crafting solutions.

      Moderator Lysa John, secretary-general of CIVICUS, steered the conversation toward Africa’s growing influence during her fireside chat with David Sengeh SM ’12, PhD ’16, chief minister of Sierra Leone, and Toyin Saraki, president of the Wellbeing Foundation. The African Union was recently named a permanent member of the G20. Saraki passionately advocated for Africa to assert itself: “I would like this to be more than just the North recognizing the South. This is the time now for us to bring African intelligence to the forefront. We have to bring our own people, our own data, our own resources.” She also called for an intergenerational shift, recognizing the readiness of the younger generation to lead.

      Sengeh, who is 36 himself, emphasized that young people are natural leaders, especially in a nation where 70 percent of the population is youth. He challenged the status quo, urging society to entrust leadership roles to the younger generation.

      Saraki praised Solve as a vital incubation hub, satisfying the need for contextual innovation while contributing to global progress. She views Solve as a marketplace of solutions to systemic weaknesses, drawing upon the diverse approaches of innovators both young and old. “That is the generation of intelligence that needs to grow, not just in Africa. Solve is amazing for that, it’s an investor’s delight,” she said.

      Henrietta Fore, managing partner, chair, and CEO of Radiate Capital, Holsman International, shared an example of entrepreneurship catalyzed by country-level leaders, referencing India’s Swachh Bharat program aimed at promoting cleaner environments. The government initiative led to a burst of entrepreneurial activity, with women opening various shops for toilets and bathroom commodities. Fore highlighted the potential for companies to collaborate with countries on such programs, creating momentum and innovation.

      Trust as capital

      Trust was a prevalent theme throughout the event, from personal to business levels.

      Johanna Mair, academic editor of the Stanford Social Innovation Review, asked Sarah Chandler, vice president of environment and supply chain innovation at Apple, for advice she may have for corporations and startups thinking about their holistic climate goals. Chandler emphasized the importance of trust that businesses must have that environmental goals can align with business goals, highlighting Apple’s 45 percent reduction in carbon footprint since 2015 and 65 percent revenue increase.

      Neela Montgomery, board partner at Greycroft, discussed her initial skepticism around collaborating with large entities, seeking advice from Ilan Goldfajn, president of the Inter-American Development Bank. “Don’t be shy to come … take advantage of a multilateral bank … think about multilateral organizations as the ones to make connections. We can be your support commercially and financially, we could be your clients, and we could be your promoters,” said Goldfajn.

      During a fireside chat among Janti Soeripto, president and CEO of Save the Children USA, and Imran Ahmed, founder and CEO of Center for Countering Digital, Soeripto shared her belief that the most effective change comes from the country and local community level. She pointed to a contextual example of this where Save the Children invested in scaling a small Austrian ed-tech startup — Library for All. The partnership positively impacted literacy for other communities around the world by making literature more accessible.

      There still exist major hurdles for small enterprises to enter the global market. Imran points to sclerosis and hesitancy to trust small-scale innovation as a roadblock to meaningful change. 

      The final discussion of the closing plenary, Funding the Future: Scaling up Inclusive Impact, featured Fore; Mohammed Nanabhay, managing partner of Mozilla Ventures; and Alfred Ironside, vice president of communications at MIT, who asked the two panelists, “What do you [look for] when thinking about putting money into leaders and organizations who are on this mission to create impact and achieve scale?”

      Beyond aligning principles with organizations, Nanabhay said that he looks for tenacity and, most importantly, trust in oneself. “Entrepreneurship is a long journey, it’s a hard journey — whether you’re on the for-profit side or the nonprofit side. It’s easy to say people should have grit, everyone says this. When the time comes and you’re struggling … you need to have the fundamental belief that what you’re working on is meaningful and that it’s going to make the world better.” More

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      in Environment

      A reciprocal relationship with the land in Hawaiʻi

      by

      Aja Grande grew up on the Hawaiian island of Oʻahu, between the Kona and ʻEwa districts, nurtured by her community and the natural environment. Her family has lived in Hawaiʻi for generations; while she is not “Kanaka ʻŌiwi,” of native Hawaiian descent, she is proud to trace her family’s history to the time of the Hawaiian Kingdom in the 19th century. Grande is now a PhD candidate in MIT’s HASTS (History, Anthropology, Science, Technology and Society) program, and part of her dissertation tracks how Hawaiian culture and people’s relationship with the land has evolved throughout time.

      “The fondest memories I have are camping on the north shore every summer with my friends,” says Grande. “I loved being in ‘ke kai’ (the sea) and ‘ma uka,’ (inland, in the mountains) with my friends when I was younger. It was just pure fun exploring ‘ʻāina’ like that.” “‘Āina” in the Hawaiian language is often defined as “land,” but is understood to the people of Hawaiʻi as “that which feeds.”

      “Now that I’m older,” Grande adds, “I’m connecting the dots and realizing how much knowledge about the complex systems of ‘ahupuaʻa’ [traditional Hawaiian divisions of land that extend from the mountains to the sea], I actually gained through these experiences.”

      Grande recently completed a year of fieldwork in Hawaiʻi where she volunteered with land-based, or ‘āina-based organizations. In the movement to restore ‘āina to “momona,” or  “fertile and abundant lands,” the land and the people who serve as its stewards are of equal importance.

      “I’m looking at how people who are not Kanaka ‘Ōiwi, or native Hawaiian, by descent can participate in this kind of restoration, and what it means for both Kanaka ‘Ōiwi and non-Kanaka ‘Ōiwi to participate in it,” says Grande, who herself descends from immigrants of other island nations. “Some of my ancestors were born and raised in Hawaiʻi before the U.S. subjected Hawaiʻi as a state and territory, meaning that some of them were Hawaiian Kingdom subjects. While, I am not Kanaka ʻŌiwi by lineage, some of my ‘ohana nui (extended family), from these same ancestors, are Kanaka ʻŌiwi. I’m writing about how being Hawaiian, from a Hawaiian sovereignty standpoint, is not just about race and ethnicity. When Hawaiʻi was a sovereign nation, Hawaiian citizenship was never afforded on the basis of race alone. It was also based on your lifelong commitment to ‘āina and the people of Hawaiʻi.”

      The project is personal to Grande, who describes both the content and the process of writing it as part of her healing journey. She hopes to lay the groundwork for others who are “hoaʻāina,” or “those who actively care for ʻāina,” in Hawaiʻi, but not Kanaka ʻŌiwi to better articulate their identities and foster a deeper connection with the ʻāina and the “kaiāulu,” or “community,” they love and actively care for.

      Returning home

      Grande has spent her academic career on the East Coast, first at Brown University, where she received a degree in science, technology, and society, and now at MIT in the HASTS program. She swam competitively through her second year of college, and had earlier represented Hawaiʻi at the 2012 Oceania Games in New Caledonia. Once she stopped swimming, Grande first used her newfound time to travel the world. Tired of this transient lifestyle, she realized she was more interested in exploring her connection to land in a more rooted way.

      “Moving around, especially as a college student, it’s very hard to grow things,” says Grande. “People are a lot like plants. You really just need to let plants do their thing in place. We do really well and we thrive when we can be connected to place.”

      Grande started by founding the Ethnobotany Society at Brown to explore the relationship people have to plants. With the group she organized nature walks, collaborated with local farms, and connected it to the history she was learning in class.

      Still, the East Coast never quite felt like home to Grande. When she started planning for the fieldwork portion of her program, she envisioned spending half the year in New England and half in Hawaiʻi. But she soon realized how important it was for both her research and herself to dedicate everything to Hawai’i.

      “When I came back, it just felt so right to be back home,” says Grande. “The feeling in your naʻau — your ‘gut’ — of knowing that you have to contribute to Hawaiʻi is very powerful, and I think a lot of people here understand what that means. It’s kind of like a calling.”

      Hoaʻāina, community, family

      Once Grande made the decision to return home for her field work, she says everything fell into place.

      “I knew that I wanted to do something close to my heart. It’s a huge privilege because I was able to come home and learn more about myself and my family and how we are connected to Hawaiʻi,” she says.

      During her year of fieldwork, Grande learned how hoaʻāina cultivate spaces where the community can can work alongside one another to plant traditional food and medicinal crops, control invasive species, and more. She wasn’t just an observer, either. As much as Grande learned from an academic perspective, her personal growth has been intertwined with the entire process.

      “The most interesting part was that all the hoaʻāina I volunteered with helped me to understand my place back home,” says Grande. “They were my informants but also — this usually happens with anthropologists — people become your friends. The hoaʻāina I volunteered with treated me like family. They also got to know some of my family members, who joined me to volunteer at different sites. It’s sometimes hard to drop a hard line between what fieldwork is and what your personal life is because when you’re in the field, there’s so many events that are connected to your work. It was so fun and meaningful to write about the ʻāina and people I consider my community and family.”

      The movement doesn’t start or end with Grande’s dissertation. Pursuing this project has given her the language to articulate her own relationship with ‘āina, and she hopes it will empower others to reexamine how they exist in relation to land.

      After completing her program, Grande intends to stay in Hawaiʻi and continue philanthropy work while contributing to the movement of ʻāina momona.

      “We want the land to live and to keep a relationship with the land. That’s the emotional part. I have a ‘kuleana,’ (duty and responsibility) to everything that I learned while growing up, including the ʻāina and ‘kaiāulu,’ (community) who raised me. The more you learn, there’s so much that you want to protect about the culture and this ‘āina.” More

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      in Energy

      New tools are available to help reduce the energy that AI models devour

      by

      When searching for flights on Google, you may have noticed that each flight’s carbon-emission estimate is now presented next to its cost. It’s a way to inform customers about their environmental impact, and to let them factor this information into their decision-making.

      A similar kind of transparency doesn’t yet exist for the computing industry, despite its carbon emissions exceeding those of the entire airline industry. Escalating this energy demand are artificial intelligence models. Huge, popular models like ChatGPT signal a trend of large-scale artificial intelligence, boosting forecasts that predict data centers will draw up to 21 percent of the world’s electricity supply by 2030.

      The MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to help data centers reel in energy use. Their techniques range from simple but effective changes, like power-capping hardware, to adopting novel tools that can stop AI training early on. Crucially, they have found that these techniques have a minimal impact on model performance.

      In the wider picture, their work is mobilizing green-computing research and promoting a culture of transparency. “Energy-aware computing is not really a research area, because everyone’s been holding on to their data,” says Vijay Gadepally, senior staff in the LLSC who leads energy-aware research efforts. “Somebody has to start, and we’re hoping others will follow.”

      Curbing power and cooling down

      Like many data centers, the LLSC has seen a significant uptick in the number of AI jobs running on its hardware. Noticing an increase in energy usage, computer scientists at the LLSC were curious about ways to run jobs more efficiently. Green computing is a principle of the center, which is powered entirely by carbon-free energy.

      Training an AI model — the process by which it learns patterns from huge datasets — requires using graphics processing units (GPUs), which are power-hungry hardware. As one example, the GPUs that trained GPT-3 (the precursor to ChatGPT) are estimated to have consumed 1,300 megawatt-hours of electricity, roughly equal to that used by 1,450 average U.S. households per month.

      While most people seek out GPUs because of their computational power, manufacturers offer ways to limit the amount of power a GPU is allowed to draw. “We studied the effects of capping power and found that we could reduce energy consumption by about 12 percent to 15 percent, depending on the model,” Siddharth Samsi, a researcher within the LLSC, says.

      The trade-off for capping power is increasing task time — GPUs will take about 3 percent longer to complete a task, an increase Gadepally says is “barely noticeable” considering that models are often trained over days or even months. In one of their experiments in which they trained the popular BERT language model, limiting GPU power to 150 watts saw a two-hour increase in training time (from 80 to 82 hours) but saved the equivalent of a U.S. household’s week of energy.

      The team then built software that plugs this power-capping capability into the widely used scheduler system, Slurm. The software lets data center owners set limits across their system or on a job-by-job basis.

      “We can deploy this intervention today, and we’ve done so across all our systems,” Gadepally says.

      Side benefits have arisen, too. Since putting power constraints in place, the GPUs on LLSC supercomputers have been running about 30 degrees Fahrenheit cooler and at a more consistent temperature, reducing stress on the cooling system. Running the hardware cooler can potentially also increase reliability and service lifetime. They can now consider delaying the purchase of new hardware — reducing the center’s “embodied carbon,” or the emissions created through the manufacturing of equipment — until the efficiencies gained by using new hardware offset this aspect of the carbon footprint. They’re also finding ways to cut down on cooling needs by strategically scheduling jobs to run at night and during the winter months.

      “Data centers can use these easy-to-implement approaches today to increase efficiencies, without requiring modifications to code or infrastructure,” Gadepally says.

      Taking this holistic look at a data center’s operations to find opportunities to cut down can be time-intensive. To make this process easier for others, the team — in collaboration with Professor Devesh Tiwari and Baolin Li at Northeastern University — recently developed and published a comprehensive framework for analyzing the carbon footprint of high-performance computing systems. System practitioners can use this analysis framework to gain a better understanding of how sustainable their current system is and consider changes for next-generation systems.  

      Adjusting how models are trained and used

      On top of making adjustments to data center operations, the team is devising ways to make AI-model development more efficient.

      When training models, AI developers often focus on improving accuracy, and they build upon previous models as a starting point. To achieve the desired output, they have to figure out what parameters to use, and getting it right can take testing thousands of configurations. This process, called hyperparameter optimization, is one area LLSC researchers have found ripe for cutting down energy waste. 

      “We’ve developed a model that basically looks at the rate at which a given configuration is learning,” Gadepally says. Given that rate, their model predicts the likely performance. Underperforming models are stopped early. “We can give you a very accurate estimate early on that the best model will be in this top 10 of 100 models running,” he says.

      In their studies, this early stopping led to dramatic savings: an 80 percent reduction in the energy used for model training. They’ve applied this technique to models developed for computer vision, natural language processing, and material design applications.

      “In my opinion, this technique has the biggest potential for advancing the way AI models are trained,” Gadepally says.

      Training is just one part of an AI model’s emissions. The largest contributor to emissions over time is model inference, or the process of running the model live, like when a user chats with ChatGPT. To respond quickly, these models use redundant hardware, running all the time, waiting for a user to ask a question.

      One way to improve inference efficiency is to use the most appropriate hardware. Also with Northeastern University, the team created an optimizer that matches a model with the most carbon-efficient mix of hardware, such as high-power GPUs for the computationally intense parts of inference and low-power central processing units (CPUs) for the less-demanding aspects. This work recently won the best paper award at the International ACM Symposium on High-Performance Parallel and Distributed Computing.

      Using this optimizer can decrease energy use by 10-20 percent while still meeting the same “quality-of-service target” (how quickly the model can respond).

      This tool is especially helpful for cloud customers, who lease systems from data centers and must select hardware from among thousands of options. “Most customers overestimate what they need; they choose over-capable hardware just because they don’t know any better,” Gadepally says.

      Growing green-computing awareness

      The energy saved by implementing these interventions also reduces the associated costs of developing AI, often by a one-to-one ratio. In fact, cost is usually used as a proxy for energy consumption. Given these savings, why aren’t more data centers investing in green techniques?

      “I think it’s a bit of an incentive-misalignment problem,” Samsi says. “There’s been such a race to build bigger and better models that almost every secondary consideration has been put aside.”

      They point out that while some data centers buy renewable-energy credits, these renewables aren’t enough to cover the growing energy demands. The majority of electricity powering data centers comes from fossil fuels, and water used for cooling is contributing to stressed watersheds. 

      Hesitancy may also exist because systematic studies on energy-saving techniques haven’t been conducted. That’s why the team has been pushing their research in peer-reviewed venues in addition to open-source repositories. Some big industry players, like Google DeepMind, have applied machine learning to increase data center efficiency but have not made their work available for others to deploy or replicate. 

      Top AI conferences are now pushing for ethics statements that consider how AI could be misused. The team sees the climate aspect as an AI ethics topic that has not yet been given much attention, but this also appears to be slowly changing. Some researchers are now disclosing the carbon footprint of training the latest models, and industry is showing a shift in energy transparency too, as in this recent report from Meta AI.

      They also acknowledge that transparency is difficult without tools that can show AI developers their consumption. Reporting is on the LLSC roadmap for this year. They want to be able to show every LLSC user, for every job, how much energy they consume and how this amount compares to others, similar to home energy reports.

      Part of this effort requires working more closely with hardware manufacturers to make getting these data off hardware easier and more accurate. If manufacturers can standardize the way the data are read out, then energy-saving and reporting tools can be applied across different hardware platforms. A collaboration is underway between the LLSC researchers and Intel to work on this very problem.

      Even for AI developers who are aware of the intense energy needs of AI, they can’t do much on their own to curb this energy use. The LLSC team wants to help other data centers apply these interventions and provide users with energy-aware options. Their first partnership is with the U.S. Air Force, a sponsor of this research, which operates thousands of data centers. Applying these techniques can make a significant dent in their energy consumption and cost.

      “We’re putting control into the hands of AI developers who want to lessen their footprint,” Gadepally says. “Do I really need to gratuitously train unpromising models? Am I willing to run my GPUs slower to save energy? To our knowledge, no other supercomputing center is letting you consider these options. Using our tools, today, you get to decide.”

      Visit this webpage to see the group’s publications related to energy-aware computing and findings described in this article. More