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The AI technique dramatically accelerates the prediction of thermal characteristics of materials.

Alternative energy, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Energy, Machine learning, Materials science and engineering, MIT Schwarzman College of Computing, Nuclear science and engineering, Renewable energy, Research, School of Engineering, UncategorizedJuly 17, 202435Views0Likes0Comments
An international team of researchers, including members from MIT (Massachusetts Institute of Technology), has developed a machine learning-based approach to predict the thermal properties of materials. This understanding could help improve energy efficiency in power generation systems and microelectronics. The research focuses on phonons - subatomic particles that carry heat. Properties of these particles affect…

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Obtaining hydrogen from stones.

Alternative energy, Artificial Intelligence, Climate change, Department of Energy (DoE), DMSE, Energy, Faculty, Funding, Geology, Grants, Mechanical engineering, Renewable energy, Robotics, School of Engineering, Sustainability, UncategorizedApril 9, 202441Views0Likes0Comments
Hydrogen, one of the most abundant elements in the Universe, mainly exists alongside other elements. However, the discovery of naturally occurring underground pockets of pure hydrogen is increasingly attracting attention as an unlimited source of carbon-free energy. In fact, the US Department of Energy recently awarded $20 million in research grants to 18 teams to…

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