Dataset Open Access
Tahmasbi, Hossein;
Knüpfer, Andreas;
Kühne, Thomas Dae-Song;
Mir Hosseini, Seyed Hossein
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<identifier identifierType="DOI">10.14278/rodare.4596</identifier>
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<creatorName>Tahmasbi, Hossein</creatorName>
<givenName>Hossein</givenName>
<familyName>Tahmasbi</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3072-8217</nameIdentifier>
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<creator>
<creatorName>Knüpfer, Andreas</creatorName>
<givenName>Andreas</givenName>
<familyName>Knüpfer</familyName>
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<creator>
<creatorName>Kühne, Thomas Dae-Song</creatorName>
<givenName>Thomas Dae-Song</givenName>
<familyName>Kühne</familyName>
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<creator>
<creatorName>Mir Hosseini, Seyed Hossein</creatorName>
<givenName>Seyed Hossein</givenName>
<familyName>Mir Hosseini</familyName>
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<titles>
<title>Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2026</publicationYear>
<dates>
<date dateType="Issued">2026-04-09</date>
</dates>
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<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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<descriptions>
<description descriptionType="Abstract"><p>Reference data and scripts generated for&nbsp;the &quot;Benchmarking Universal Machine Learning Interatomic<br>
Potentials on Elemental Systems&quot; manuscript.</p></description>
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