{
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  "affiliations": [
    "Department of Electrical and Computer Engineering , Princeton University , Princeton , New Jersey 08544 , USA",
    "Department of Physics , Princeton University , Princeton , New Jersey 08544 , USA",
    "Department of Computer Science and Engineering , University of Michigan , Ann Arbor , Michigan 48109 , USA",
    "Princeton AI Lab , Princeton University , Princeton , New Jersey 08544 , USA",
    "Currently unaffiliated , Incoming graduate student at Princeton ECE",
    "Department of Physics and Astronomy , California State University , Northridge , Northridge , California 91330 , USA",
    "Research Center for Electronic and Optical Materials , National Institute for Materials Science , 1-1 Namiki , Tsukuba 305-0044 , Japan",
    "Research Center for Materials Nanoarchitectonics , National Institute for Materials Science , 1-1 Namiki , Tsukuba 305-0044 , Japan"
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  "article_type": null,
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  "author_total": 17,
  "authors": [
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      "name": "Lihan Shi"
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      "name": "Zhaoyi Joy Zheng"
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      "name": "Xinzhe Juan"
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      "name": "Yimin Wang"
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      "name": "Ming Yin"
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      "name": "Jingzhi Shi"
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      "name": "Derek Saucedo"
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      "name": "Neill Saggi"
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      "name": "Haosen Guan",
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      "name": "Kenji Watanabe",
      "orcid": "0000-0003-3701-8119"
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      "name": "Takashi Taniguchi",
      "orcid": "0000-0002-1467-3105"
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    {
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      "name": "Ali Yazdani",
      "orcid": "0000-0003-4996-8904"
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      "name": "Mengdi Wang"
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    {
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      "name": "Sanfeng Wu",
      "orcid": "0000-0002-6227-6286"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/38me0hm38ysf8.bib",
  "cited_by": 10,
  "doi": "10.48550/arxiv.2605.18407",
  "fulltext_url": null,
  "id": "38me0hm38ysf8",
  "issns": [
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  "landing_url": "https://arxiv.org/abs/2605.18407",
  "language": "en",
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  "licence_label": "Licence not stated",
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  "native_subjects": [
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      "2505|Machine Learning in Materials Science"
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  "pdf_url": "https://arxiv.org/pdf/2605.18407",
  "pmcid": null,
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  "published": "2026-05-18",
  "publisher": "Cornell University",
  "ris": "https://research.draconitic.com/paper/38me0hm38ysf8.ris",
  "sources": [
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      "url": "https://arxiv.org/abs/2605.18407"
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  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:2505|Machine Learning in Materials Science",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Qumus: Realization of An Embodied AI Quantum Material Experimentalist",
  "title_text": "Qumus: Realization of An Embodied AI Quantum Material Experimentalist",
  "type": "preprint",
  "updated_at": "2026-11-09T13:21:22Z",
  "url": "https://research.draconitic.com/paper/38me0hm38ysf8",
  "venue": "arXiv (Cornell University)",
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