Optimizing carbon nanotube electrodes
New model measures characteristics of carbon nanotube structures for energy storage and water desalination applications.
Exploring ethical dimensions of climate negotiation
MIT researchers focus on empathy, transparency, and empowerment at this year's United Nations Climate Change Conference.
MIT conference seeks solutions for reconstruction in devastated Caribbean
Two-day workshop featuring island leaders explores ways to rebuild better, more resilient infrastructure.
MIT convenes researchers and policymakers for regional climate action
Two-day summit on climate leadership in northeastern North America draws almost 200 to MIT.
A bipartisan message of clean energy progress
In the face of global challenges, leading women in energy and climate convene at the C3E 2017 Clean Energy Symposium.
Collaborating to cut emissions in the property sector
Bangkok-based property developer MQDC is joining the MIT Energy Initiative’s Low-Carbon Energy Center for Electric Power Systems Research.
A new way to store thermal energy
MIT researchers create material for a chemical heat “battery” that could release its energy on demand.
No more blackouts?
New framework guarantees stability of microgrids that supply local power in developing countries.
Strong current of energy runs through MIT
Research, education, and student activities help create a robust community focused on fueling the world's future.
3Q: Robert Armstrong on 10 years of energy research at MIT
MIT Energy Initiative Director Robert Armstrong shares perspectives on past successes and ongoing and future energy projects at the Institute.
Energy transition through aesthetics and culture
MIT Energy Initiative seminar examines the role of the humanities, design, and aesthetics in catalyzing a fairer, more diverse energy future.
A new way to harness wasted methane
Approach developed at MIT could help curb needless “flaring” of potent greenhouse gas.
3 Questions: Robert Granetz on fusion research
MIT research scientist is exploring how machine learning can predict and prevent disruptions in reactors.