{"id":"doi:10.1126/science.abo4940","kind":"article","title":"Machine learning–enabled high-entropy alloy discovery","authors":["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"],"author_count":17,"year":2022,"published":"2022-10-06","venue":"Science","cited_by":755,"doi":"10.1126/science.abo4940","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1126/science.abo4940","archive_url":"https://space-kitty.com/papers/doi:10.1126/science.abo4940","updated":null,"pmid":"36201584","pmcid":null,"openalex_id":"W4302425308","pdf_url":null,"abstract":null,"abstract_license":null,"license":"other-oa","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Materials Science"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-for-science","name":"AI for Science","domain_slug":"ai"}],"cited_in_dossiers":[]}