FP-DeErr: A New Benchmark for Evaluating Foundation Potentials
Published:
We introduce FP-DeErr, an application-oriented benchmark for evaluating machine-learned foundation potentials (FPs) — models that promise to replace expensive first-principles calculations across atomistic simulations.
