Microsoft Research team developed MatterSim, an innovative deep-learning model for accurate and efficient materials simulation and property prediction over a broad range of elements, temperatures, and pressures, to enable in-silico materials design. The team included four people, Han Yang, Senior Researcher  Jielan Li, Researcher 2  Hongxia Hao, Senior Researcher  Ziheng Lu, Principal Researcher How does MatterSim help? Accurate and comprehensive simulation MatterSim uses […]
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