Search Results for author: Cas van der Oord

Found 2 papers, 1 papers with code

Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials

no code implementations9 Oct 2022 Cas van der Oord, Matthias Sachs, Dávid Péter Kovács, Christoph Ortner, Gábor Csányi

Data-driven interatomic potentials have emerged as a powerful class of surrogate models for {\it ab initio} potential energy surfaces that are able to reliably predict macroscopic properties with experimental accuracy.

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