A new heat engine with no moving parts is as efficient as a steam turbine
The design could someday enable a fully decarbonized power grid, researchers say.
The design could someday enable a fully decarbonized power grid, researchers say.
To put global climate modeling at the fingertips of local decision-makers, some scientists think it’s time to rethink the system from scratch.
An early interest in archaeology led senior Sophia Mittman to explore many facets of materials science, from restoring artwork to making mining more sustainable.
The portfolio of multiyear projects focuses on delivering breakthrough solutions.
In the remote desert of Nevada, an MIT team designs shelter for all species.
Power flowing both ways across the border offers a pathway to clean electricity in 2050.
After four decades at the Plasma Science and Fusion Center, Deputy Director Martin Greenwald embodies a brief history of fusion at MIT.
From nuclear proliferation to climate change, Richard K. Lester taps research talent to map a path toward a sustainable planet.
Roots Studio, founded by Rebecca Hui SM ’17, helps rural communities license their art to brands around the world.
Faculty leaders highlight innovations that can close longstanding knowledge gaps and reimagine how the world responds to the climate crisis.
Annual student-led conference looks at prospects for decarbonizing some of the most difficult industries, including aviation and cement production.
MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.
Yogesh Surendranath and his team are bringing powerful techniques of electrochemistry to bear on the problem of designing catalysts for sustainable fuels.
Brent Minchew leads two proposals to better understand glacial physics and predict sea-level rise as part of MIT's Climate Grand Challenges competition.
Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.