333 citations · 833 across the 12 of their papers we have counts for
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physics.comp-ph2020★ 49 cited
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Behnam Parsaeifard, Deb Sankar De, Anders S. Christensen +6
Atomic environment fingerprints are widely used in computational materials science, from machine learning potentials to the quantification of similarities between atomic configurat…
physics.chem-ph2020★ 2 cited
On the role of gradients for machine learning of molecular energies and forces
Anders S. Christensen, O. Anatole von Lilienfeld
The accuracy of any machine learning potential can only be as good as the data used in the fitting process. The most efficient model therefore selects the training data that will y…