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  "bibtex": "https://research.draconitic.com/paper/54sqaaz9drjxz.bib",
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  "doi": "10.1063/5.0317672",
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  "pdf_url": "https://arxiv.org/pdf/2512.16702",
  "pmcid": null,
  "pmid": "42165526",
  "published": "2026-05-21",
  "publisher": "American Institute of Physics",
  "ris": "https://research.draconitic.com/paper/54sqaaz9drjxz.ris",
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  "subjects": [
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      "origin": "openalex:2505|Machine Learning in Materials Science",
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  "title": "How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?",
  "title_text": "How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?",
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  "updated_at": "2026-11-09T13:21:22Z",
  "url": "https://research.draconitic.com/paper/54sqaaz9drjxz",
  "venue": "The Journal of Chemical Physics",
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