arXiv Machine Learning June 16, 2026 By Jia Bi, Alin Marin Elena, Samuel Pinilla

Scalar-pathway fidelity improves physical accuracy in short-range equivariant interatomic potentials

Read the original on arXiv Machine Learning →

arXiv:2606. 15892v1 Announce Type: new Abstract: Accurate interatomic potentials enable molecular dynamics of materials, molecules, and interfaces beyond density-functional-theory length and time scales.

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