Ke Chen

Field-aware and charge-informed machine learning for predicting molecular and condensed-phase responses and vibrational spectra

External electric fields play a crucial role in chemistry, materials, and biology. However, accurately capturing external field effects remains a challenge for machine learning interatomic potentials (MLIPs). By revealing the limitations of conventional architectures in predicting field-dependent response properties,...