Leveraging science and technology against the world’s top problems
From nuclear proliferation to climate change, Richard K. Lester taps research talent to map a path toward a sustainable planet.
From nuclear proliferation to climate change, Richard K. Lester taps research talent to map a path toward a sustainable planet.
Annual student-led conference looks at prospects for decarbonizing some of the most difficult industries, including aviation and cement production.
Zoe Fisher's undergraduate research journey leads to a role working on the SPARC tokamak.
Longtime professor of mechanical engineering influenced nuclear reactor design and shaped thermodynamics education at MIT.
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
In his new lab, where he will study how plasma behaves in the universe, assistant professor of nuclear science and engineering Jack Hare draws inspiration from spelunking.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
MIT PhD student Rachel Bielajew is taking on plasma turbulence, and helping make a better world — through science and community action.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
By incorporating the scattering of RF waves into fusion simulations, MIT physicists improve heating and current drive predictions for fusion plasmas.
Researchers argue the plant could provide multiple benefits for California, including desalinated water and clean hydrogen fuel.
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.
MIT engineer oversees design and testing of key magnet components for the Institute's SPARC fusion project.
New superconducting magnet breaks magnetic field strength records, paving the way for practical, commercial, carbon-free power.
PhD student Madhumitha Ravichandran identifies the three main factors that trigger the boiling crisis through machine learning models.