New facility to accelerate materials solutions for fusion energy
The new Schmidt Laboratory for Materials in Nuclear Technologies (LMNT) at the MIT Plasma Science and Fusion Center accelerates fusion materials testing using cyclotron proton beam
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Geothermal energy turns red hot
The MIT Energy Initiative''s Spring Symposium gathered experts to explore opportunities for next-generation geothermal energy for firm power.
How artificial intelligence can help achieve a clean energy future
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel
Energy | MIT News | Massachusetts Institute of Technology
Next-generation geothermal energy: Promise, progress, and challenges Geothermal innovators at MIT and elsewhere are seeking deeper and hotter rocks to generate electricity at scale.
A new approach could fractionate crude oil using much less energy
MIT engineers developed a membrane that filters the components of crude oil by their molecular size, an advance that could dramatically reduce the amount of energy needed for crude oil
Explained: Generative AI''s environmental impact
MIT News explores the environmental and sustainability implications of generative AI technologies and applications.
Concrete “battery” developed at MIT now packs 10 times the power
New concrete and carbon black supercapacitors with optimized electrolytes have 10 times the energy storage of previous designs and can be incorporated into a wide range of architectural
Making clean energy investments more successful
New research emphasizes the importance of well-validated models and forecasting tools in evaluating choices for investments in clean energy technologies and policies by governments and
MIT Energy Initiative conference spotlights research
At the MIT Energy Initiative''s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape.
Responding to the climate impact of generative AI
MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the