Litcius/Paper detail

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

Suyeon Ju, Jinmu You, Gijin Kim, Yutack Park, H. L. An, Seungwu Han

2025Digital Discovery20 citationsDOIOpen Access PDF

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.

Topics & Concepts

ElectrolyteBattery (electricity)IonMaterials scienceComputer scienceChemistryPhysicsThermodynamicsPhysical chemistryElectrodeOrganic chemistryPower (physics)Advanced Battery Technologies ResearchMachine Learning in Materials Science
Application of pretrained universal machine-learning interatomic potential for physicochemical simulation of liquid electrolytes in Li-ion batteries | Litcius