April 9, 2026 Dataset Open Access

Tahmasbi, Hossein; Knüpfer, Andreas; Kühne, Thomas Dae-Song; Mir Hosseini, Seyed Hossein

Dublin Core Export

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  <dc:creator>Tahmasbi, Hossein</dc:creator>
  <dc:creator>Knüpfer, Andreas</dc:creator>
  <dc:creator>Kühne, Thomas Dae-Song</dc:creator>
  <dc:creator>Mir Hosseini, Seyed Hossein</dc:creator>
  <dc:date>2026-04-09</dc:date>
  <dc:description>Reference data and scripts generated for the "Benchmarking Universal Machine Learning Interatomic
Potentials on Elemental Systems" manuscript.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/4596</dc:identifier>
  <dc:identifier>10.14278/rodare.4596</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:4596</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-43234</dc:relation>
  <dc:relation>doi:10.14278/rodare.4595</dc:relation>
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  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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