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MIT projects selected for funding under US Department of Energy’s Genesis Mission

Administration, ai, AI (Artificial Intelligence), Artificial Intelligence, Chemical engineering, Department of Energy (DoE), EAPS, Faculty, Funding, Industry, Laboratory for Nuclear Science, manufacturing, Mechanical engineering, Nuclear science and engineering, Physics, Plasma Science and Fusion Center, Quantum Computing, Research Laboratory of Electronics, School of Engineering, School of Science

MIT researchers are set to contribute to the U.S. Department of Energy’s (DOE) Genesis Mission, with 15 collaborative projects among those selected for funding under Genesis Phase I, DOE announced Wednesday.The Genesis Mission, a national initiative, intends to build “the world’s most powerful integrated science discovery platform” by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, […]

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New prediction model could improve the reliability of fusion power plants

Aeronautical and astronautical engineering, Artificial Intelligence, Computer modeling, Energy, Fluid dynamics, Fusion, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Nuclear power and reactors, Plasma Science and Fusion Center, Renewable energy, Research, School of Engineering, Sustainability

Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun’s core and push the plasma’s atoms to fuse and release energy. If tokamaks can operate safely and efficiently, the machines could one day provide clean and

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