Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory

Benjamin Yu, Vincenzo Lordi, Daniel Schwalbe-Koda

Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their performance often depends on the…