K. Nayal

Critical benchmarking of machine-learned interatomic potentials for intermolecular and noncovalent interactions

It is demonstrated that meaningful MLIP evaluation must carefully account for data provenance, reference theory consistency, and the distinction between interpolation and true out-of-distribution generalization, particularly as standard NCI benchmark sets become increasingly absorbed into large-scale training datasets.