Machine Learning Aided Atomistic Modeling of Solid State Electrolyte Interphase Formation for Li/Li7P3S11

Bryant Li, Kristin Persson

Keywords: AI, machine learning, density functional theory, machine learning interatomic potentials, solid state battery, solid electrolyte interphase

TL;DR: A computational framework for fitting machine learning interatomic potentials to model interphase formation in solid-state batteries.

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Submission Number: 101