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- 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 materials, and more
- MIT Climate and Energy Ventures class spins out entrepreneurs — and . . .
In MIT course 15 366 (Climate and Energy Ventures) student teams select a technology and determine the best path for its commercialization in the energy sector
- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- 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 fractionation
- 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 irradiation, advancing fusion energy, nuclear power, and clean energy research at MIT
- Using liquid air for grid-scale energy storage - MIT News
Liquid air energy storage could be the lowest-cost solution for ensuring a reliable power supply on a future grid dominated by carbon-free yet intermittent energy sources, according to a new model from MIT researchers
- New materials could boost the energy efficiency of microelectronics
MIT researchers developed a new fabrication method that could enable them to stack multiple active components, like transistors and memory units, on top of an existing circuit, which would improve the energy efficiency of electronic devices
- Energy | MIT News | Massachusetts Institute of Technology
New materials could boost the energy efficiency of microelectronics By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation
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