Application of pretrained universal machine-learning interatomic potential for physicochemical simulation of liquid electrolytes in Li-ion batteries

Abstract

SevenNet-0, pretrained on inorganic data, performs surprisingly well on liquid electrolytes—an out-of-distribution system—showing interpolation ability and improving further with fine-tuning.