The Journal of chemical physics
How accurate are DFT forces? Unexpectedly large uncertainties in molecular datasets.
Domantas Kuryla, Fabian Berger, Gábor Csányi, Angelos Michaelides
Published: 202510.1063/5.0296997
Abstract
Training of general-purpose machine learning interatomic potentials (MLIPs) relies on large datasets with properties usually computed with density functional theory (DFT). A prerequisite for accurate MLIPs is that the DFT data are well converged to m…
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