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Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set.
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- NPJ Computational Materials, 2024, v. 10, n. 1, p. 1, doi. 10.1038/s41524-024-01264-z
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Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-48192-6
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Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-32294-0
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- Article
Decoding reactive structures in dilute alloy catalysts.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-28366-w
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- Article