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- 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
- Recovering from the past and transitioning to a better energy future . . .
As part of an MIT Energy Initiative seminar, Emily A Carter, a professor at Princeton University, explained the importance of climate change mitigation in the energy transition, emphasizing that our approach must comprise transformation, intervention, and adaptation
- 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
- Transforming fusion from a scientific curiosity into a powerful clean . . .
Transforming fusion from a scientific curiosity into a powerful clean energy source Driven to solve hard problems, Associate Professor Zachary Hartwig is advancing a new approach to commercial fusion energy
- Ensuring a durable transition - MIT News
At the MIT Energy Initiative’s Annual Research Conference, speakers highlighted the need for collective action in a durable energy transition capable of withstanding obstacles
- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- 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
- New 3D chips could make electronics faster and more energy-efficient . . .
A low-cost, scalable fabrication technology developed at MIT can integrate fast, efficient gallium nitride transistors onto a standard silicon chip, which could boost the performance of electronic chips used in high-bandwidth applications like video calling and real-time deep learning
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