# Machine learning–enabled high-entropy alloy discovery

Article · Ziyuan Rao, Po‐Yen Tung, Ruiwen Xie, Ye Wei, Hongbin Zhang, Alberto Ferrari, T.P.C. Klaver, Fritz Körmann, Prithiv Thoudden Sukumar, Alisson Kwiatkowski da Silva, Yao Chen, Zhiming Li, Dirk Ponge, Jörg Neugebauer, Oliver Gutfleisch, Stefan Bauer, Dierk Raabe

- Archive id: doi:10.1126/science.abo4940
- Published: 2022-10-06
- Venue: Science
- DOI: https://doi.org/10.1126/science.abo4940
- PMID: 36201584
- Citations: 755
- Source URL: https://doi.org/10.1126/science.abo4940
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [AI for Science](https://space-kitty.com/topics/ai-for-science)

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Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.
