April 9, 2026 Dataset Open Access

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

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{
  "name": "Data publication: Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems", 
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  "identifier": "https://doi.org/10.14278/rodare.4596", 
  "@type": "Dataset", 
  "creator": [
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      "name": "Tahmasbi, Hossein", 
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    }, 
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      "name": "Kn\u00fcpfer, Andreas", 
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    }, 
    {
      "@id": "https://orcid.org/0000-0001-5471-2407", 
      "name": "K\u00fchne, Thomas Dae-Song", 
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    }, 
    {
      "name": "Mir Hosseini, Seyed Hossein", 
      "@type": "Person"
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  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "distribution": [
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/8f232daa-8c06-4cf1-a212-e5504add827f/Unary_Benchmark.tar.gz", 
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  "description": "<p>Reference data and scripts generated for\u00a0the \"Benchmarking Universal Machine Learning Interatomic<br>\r\nPotentials on Elemental Systems\" manuscript.</p>", 
  "url": "https://rodare.hzdr.de/record/4596", 
  "@id": "https://doi.org/10.14278/rodare.4596", 
  "datePublished": "2026-04-09"
}