Energy management posters. Feb 26, 2026 · New materials could boost the energy effi...

Energy management posters. Feb 26, 2026 · 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. Nov 18, 2025 · The MIT-GE Vernova Climate and Energy Alliance, a five-year collaboration between MIT and GE Vernova, aims to accelerate the energy transition and scale new innovations. May 22, 2025 · 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. Nov 18, 2025 · At the MIT Energy Initiative’s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape. Jun 9, 2025 · 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. Nov 18, 2025 · At the MIT Energy Initiative’s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape. Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications. Nov 24, 2025 · 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. Oct 1, 2025 · 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 forms. Dec 12, 2025 · 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 companies. nmzzwz noobt fjcqtn jjlk igmp tpol wrejl vjjpwb sxphdio hgkxu