Finding the questions that guide MIT fusion research
After four decades at the Plasma Science and Fusion Center, Deputy Director Martin Greenwald embodies a brief history of fusion at MIT.
After four decades at the Plasma Science and Fusion Center, Deputy Director Martin Greenwald embodies a brief history of fusion at MIT.
Annual student-led conference looks at prospects for decarbonizing some of the most difficult industries, including aviation and cement production.
Yogesh Surendranath and his team are bringing powerful techniques of electrochemistry to bear on the problem of designing catalysts for sustainable fuels.
Alum seeks reliable and environmentally sensitive water and sanitation solutions for the developing world.
Postdoc Francesco Benedetti strives to make a positive impact — from helping to form supportive student groups to tackling industrial energy waste.
A new cleaning method could remove dust on solar installations in water-limited regions, improving overall efficiency.
A new approach enables architects to use discarded tree forks as load-bearing joints in their structures.
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.
At the MIT Energy Initiative’s Fall Colloquium, finance executive Poppy Allonby lays out the current state of sustainability thinking among the investor class.
MIT Energy Initiative edX course asks students to rethink how we operate power systems.
New MITEI consortium focuses on speeding the energy transition, engaging with industrial leaders to deploy clean energy advances at scale.
New research suggests ways to optimize US climate policy design for a just energy transition.
Study reveals why some attempts to convert the greenhouse gas into fuel have failed, and offers possible solutions.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.