Discrepancies and Error Evaluation Metrics for Machine Learning Interatomic Potentials

Yunsheng Liu, Xingfeng He, Yifei Mo

Machine learning interatomic potentials (MLPs) are a promising technique for atomic modeling. While high accuracy and small errors are widely reported for MLPs, an open concern is…