Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Xiang Fu, Brandon M. Wood, Luis Barroso-Luque +4

Machine learning interatomic potentials (MLIPs) have become increasingly effective at approximating quantum mechanical calculations at a fraction of the computational cost. However…