{
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  "affiliations": [
    "School of Material Science and Engineering",
    "Northeastern University",
    "Key Laboratory of Precision and Intelligent Chemistry",
    "University of Science and Technology of China",
    "Suzhou Institute for Advanced Research, University of Science and Technology of China",
    "Research Center for Energy and Chemical Engineering",
    "Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences"
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      "name": "Jingwei Liu"
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      "name": "Yongguang Zhang"
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      "name": "Yanzhong Tian"
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      "name": "Chuangwei Liu",
      "orcid": "0000-0002-8256-6053"
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    {
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      "name": "Jun Jiang"
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  "bibtex": "https://research.draconitic.com/paper/07j3frrk6zrae.bib",
  "cited_by": 0,
  "doi": "10.26434/chemrxiv.15011300/v1",
  "fulltext_url": null,
  "id": "07j3frrk6zrae",
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  "landing_url": "https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011300/v1",
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  "licence_label": "Licence not stated",
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  "published": "2026-10-29",
  "publisher": "American Chemical Society (ACS)",
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  "subjects": [
    {
      "field": "chemistry",
      "origin": "source:chemrxiv",
      "subfield": "general"
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  ],
  "title": "Machine Learning-Guided Design of Cu-Based Single-Atom Alloy Nanoclusters for Selective CO2 Electroreduction",
  "title_text": "Machine Learning-Guided Design of Cu-Based Single-Atom Alloy Nanoclusters for Selective CO2 Electroreduction",
  "type": "preprint",
  "updated_at": "2026-11-01T00:20:29Z",
  "url": "https://research.draconitic.com/paper/07j3frrk6zrae",
  "venue": "ChemRxiv",
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}