Energy Underprediction from Symmetry in Machine-Learning Interatomic Potentials

Wei Nong, Ruiming Zhu, Zekun Ren +7

Machine learning interatomic potentials (MLIAPs) have emerged as powerful tools for accelerating materials simulations with near-density functional theory (DFT) accuracy. However,…