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, 202471Views0Likes 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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