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

Chao Yang, Bo Peng, Binhan Sun, Qingzhou Tao, Yuxin Zeng, Lijun Zhang, Da Shu, Jian Lu, Dierk Raabe, Liuliu Han, Ye Wei

Open source

DOI: 10.1126/sciadv.aeg9183
Published: 2026-10-16
Container: Science Advances
Publisher: American Association for the Advancement of Science (AAAS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.aeg9183,
  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},
  year = {2026},
  journal = {Science Advances},
  doi = {10.1126/sciadv.aeg9183},
  url = {https://doi.org/10.1126/sciadv.aeg9183}
}

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
JO  - Science Advances
DO  - 10.1126/sciadv.aeg9183
UR  - https://doi.org/10.1126/sciadv.aeg9183
ER  -

APA

Yang, C., Peng, B., Sun, B., Tao, Q., Zeng, Y., Zhang, L., Shu, D., Lu, J., Raabe, D., Han, L., & Wei, Y. (2026). From scrap to prime: Designing high-performance alloys from dirty feedstocks with machine learning. Science Advances. https://doi.org/10.1126/sciadv.aeg9183

Source records

crossref · retrieved 2026-11-06T18:17:02.959Z