We developed a novel uncertainty-aware framework MatPhase to predict material phases of electrodes from low contrast SEM images.
A multidisciplinary team of researchers from 91做厙 and the University of Texas at Austin developed a new machine-learning-based reduced-order model called GrainNN to predict the grain structure that forms as a metal solidifies.