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Peer-reviewedCC BY-NCScience advances

From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning

  • Chao Yang1,2
  • Bo Peng3
  • Binhan Sun4
  • Qingzhou Tao1,2
  • Yuxin Zeng5
  • Lijun Zhang5
  • Da Shu1
  • Jian Lu6
  • Dierk Raabe7
  • Liuliu Han7,8
  • Ye Wei3,9
9 affiliations
  1. 1Shanghai Key Laboratory of Advanced High-temperature Materials and Precision Forming and State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  2. 2Inner Mongolia Research Institute, Shanghai Jiao Tong University, Hohhot 010010, China.
  3. 3Department of Data Science, City University of Hong Kong, Hong Kong, China.
  4. 4State Key Laboratory of Chemical Safety, East China University of Science and Technology, Shanghai 200237, China.
  5. 5State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, Hunan, China.
  6. 6Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.
  7. 7Max Planck Institute for Sustainable Materials, Düsseldorf 40237, Germany.
  8. 8Suzhou National Laboratory, Suzhou 215125, China.
  9. 9Department of Materials Science, City University of Hong Kong, Hong Kong, China.
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Cite

BibTeXRIS
BibTeX
@article{yang2026from,
  title = {{From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning}},
  author = {Chao Yang and Bo Peng and Binhan Sun and Qingzhou Tao and Yuxin Zeng and Lijun Zhang and Da Shu and Jian Lu and Dierk Raabe and Liuliu Han and Ye Wei},
  journal = {Science advances},
  year = {2026},
  month = oct,
  doi = {10.1126/sciadv.aeg9183},
  url = {https://europepmc.org/article/PMC/PMC13665996},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning
AU  - Chao Yang
AU  - Bo Peng
AU  - Binhan Sun
AU  - Qingzhou Tao
AU  - Yuxin Zeng
AU  - Lijun Zhang
AU  - Da Shu
AU  - Jian Lu
AU  - Dierk Raabe
AU  - Liuliu Han
AU  - Ye Wei
PY  - 2026
DA  - 2026/10/16
JO  - Science advances
DO  - 10.1126/sciadv.aeg9183
UR  - https://europepmc.org/article/PMC/PMC13665996
SN  - 2375-2548
ER  -