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- Next-generation geothermal energy: Promise, progress, and challenges
The millimeter-wave drilling technology invented at PSFC and being commercialized by Quaise Energy is the highest-profile next-generation geothermal innovation to emerge from MIT so far Millimeter-wave technology uses microwave energy to vaporize rock and could prove to be several times faster than conventional drilling
- 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
- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- MIT Energy Initiative conference spotlights research . . . - MIT News
At the MIT Energy Initiative’s Annual Research Conference, industry leaders agreed collaboration is key to advancing critical technologies amidst a changing energy landscape
- 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
- Making clean energy investments more successful - MIT News
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
- Study: Fusion energy could play a major role in the global . . . - MIT News
Investigators in the MIT Energy Initiative and the MIT Plasma Science and Fusion Center have found that — depending on its future cost and performance — fusion energy has the potential to be critically important to decarbonization and, under some conditions, could reduce the global cost of decarbonizing by trillions of dollars
- Giving buildings an “MRI” to make them more energy-efficient and . . .
Founded by a team from MIT, Lamarr AI utilizes drones, thermal imaging, and AI to identify energy waste and structural issues in buildings and recommend retrofits
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