SEP 4, 2026 · PREPRINT
Hessian-based molecular conformation augmentation for a scalable and efficient strategy of machine learning interatomic potentials
arXiv
This is a methodological proposal for improving machine-learning interatomic potentials through data augmentation, demonstrated on benchmark datasets but lacking clinical or real-world validation relevant to life sciences.
Study details
InterventionHessian-derived data augmentation via isotr…