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