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Li-P-S Electrolyte Materials as a Benchmark for Machine-Learned Interatomic Potentials.

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Title: Li-P-S Electrolyte Materials as a Benchmark for Machine-Learned Interatomic Potentials.
Authors: Fragapane NL; Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, United Kingdom., Deringer VL; Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, United Kingdom.
Source: Journal of chemical theory and computation [J Chem Theory Comput] 2026 Apr 14; Vol. 22 (7), pp. 3646-3659. Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101232704 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-9626 (Electronic) Linking ISSN: 15499618 NLM ISO Abbreviation: J Chem Theory Comput Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Fragapane+NL%22">Fragapane NL</searchLink>; Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Deringer+VL%22">Deringer VL</searchLink>; Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, United Kingdom.
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        Value: 10.1021/acs.jctc.5c02006
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        Text: English
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      – TitleFull: Li-P-S Electrolyte Materials as a Benchmark for Machine-Learned Interatomic Potentials.
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              Text: 2026 Apr 14
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