Machine learning, harnessed to extreme computing, aids fusion energy development
Linking techniques from machine learning with advanced numerical simulations, MIT researchers take an important step in state-of-the-art predictions for fusion plasmas.
Martin Greenwald | Plasma Science and Fusion Center •
mit
April 27, 2022 • ~7 min
April 27, 2022 • ~7 min
From coolants to a carbon-constrained world | MIT News
An early calling for clean energy propels undergraduate Ka-Yen Yau’s research on the next generation of nuclear technology.
Leda Zimmerman | Department of Nuclear Science and Engineering
• mit
March 15, 2018 • ~7 min
March 15, 2018 • ~7 min
Undergrads gain experience in energy sector with MITEI member companies | MIT News
MISTI places MIT students in energy-focused internships abroad.
Kathryn O'Neill | MIT Energy Initiative
• mit
Feb. 6, 2018 • ~9 min
Feb. 6, 2018 • ~9 min
MITEI releases report on the future of solar energy | MIT News
Report highlights enormous potential and discusses pathways toward affordable solar energy.
Melissa Abraham | MIT Energy Initiative
• mit
May 5, 2015 • ~6 min
May 5, 2015 • ~6 min
Magnifying vibrations in bridges and buildings | MIT News
Researchers apply computer vision technique to see tiny vibrations in large structures.
Jennifer Chu | MIT News Office
• mit
April 23, 2015 • ~8 min
April 23, 2015 • ~8 min
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