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  "affiliations": [
    "Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA",
    "Institute for Artificial Intelligence, University of Stuttgart, Stuttgart, Germany",
    "Institute for Theoretical Chemistry, University of Stuttgart, Stuttgart, Germany",
    "Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA",
    "Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. hjkulik@mit.edu",
    "Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. hjkulik@mit.edu"
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  "bibtex": "https://research.draconitic.com/paper/91t5dqfyb5rd6.bib",
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  "doi": "10.1038/s43588-026-01034-5",
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  "landing_url": "https://doi.org/10.48550/arxiv.2601.16469",
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  "pdf_url": "https://arxiv.org/pdf/2601.16469",
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  "pmid": "42587145",
  "published": "2026-08-12",
  "publisher": "Nature Portfolio",
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  "subjects": [
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      "origin": "openalex:2505|Machine Learning in Materials Science",
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  "title": "Robust generative transition-state models for unseen chemistry",
  "title_text": "Robust generative transition-state models for unseen chemistry",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T13:20:56Z",
  "url": "https://research.draconitic.com/paper/91t5dqfyb5rd6",
  "venue": "Nature Computational Science",
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