Improving robustness and training efficiency of machine-learned potentials by incorporating short-range empirical potentials

Zihan Yan, Zheyong Fan, Yizhou Zhu

Machine learning force fields (MLFFs) are powerful tools for materials modeling, but their performance is often limited by training dataset quality, particularly the lack of rare e…