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Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models

Microsoft Research
Andrew Fowler, Claudio Zeni, Daniel Zügner, Fabian Thiemann, Han Yang, Robert Pinsler, Shoko Ueda, Kenji Takeda

MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone. The post Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models appeared first on Microsoft Research.