机译:从理论和机器学习角度看金属卤化物钙钛矿的挑战、机遇与展望
Center for Superfunctional Materials Department of Chemistry Ulsan National Institute of Science and Technology Ulsan 44919, Korea;
Department of Chemistry Chungnam National University Daejeon 34134, Korea;
excited states dynamics; kinetic processes; machine learning potential; machine learning; materials design; metal halide perovskites; nanodomain;