Machine Learning Interatomic Potentials for Transition Metal Complexes
Machine learning interatomic potentials (MLIPs) have emerged as powerful tools for accelerating atomistic simulations. We have developed data-driven quantum chemistry (DDQC) models that integrate high-level electronic st...