Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations

Peter Eastman, Evan Pretti, Thomas E. Markland

The rapid development of pretrained Machine Learning Interatomic Potentials (MLIPs) that cover a wide range of molecular species has made it challenging to select the best model fo…