2025
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
ICML 2025oral
Machine learning interatomic potentials (MLIPs) have become increasingly effective at approximating quantum mechanical calculations at a fraction of the computational cost. However, lower errors on held out test sets do not always translate to improved results on downstream physical property predict…