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    "Inner Mongolia Research Institute, Shanghai Jiao Tong University, Hohhot 010010, China.",
    "Department of Data Science, City University of Hong Kong, Hong Kong, China.",
    "State Key Laboratory of Chemical Safety, East China University of Science and Technology, Shanghai 200237, China.",
    "State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, Hunan, China.",
    "Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.",
    "Max Planck Institute for Sustainable Materials, Düsseldorf 40237, Germany.",
    "Suzhou National Laboratory, Suzhou 215125, China.",
    "Department of Materials Science, City University of Hong Kong, Hong Kong, China."
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  "pmcid": "PMC13665996",
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  "published": "2026-10-16",
  "publisher": "American Association for the Advancement of Science (AAAS)",
  "ris": "https://research.draconitic.com/paper/0bjksevdwc67x.ris",
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      "origin": "openalex:2505|Machine Learning in Materials Science",
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  "title": "From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning",
  "title_text": "From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning",
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  "updated_at": "2026-10-30T12:17:41Z",
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