{"id":"doi:10.1021/acs.chemmater.6b02724","kind":"article","title":"High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds","authors":["Anton O. Oliynyk","Erin Antono","Taylor D. Sparks","Leila Ghadbeigi","Michael W. Gaultois","Bryce Meredig","Arthur Mar"],"author_count":7,"year":2016,"published":"2016-09-18","venue":"Chemistry of Materials","cited_by":387,"doi":"10.1021/acs.chemmater.6b02724","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1021/acs.chemmater.6b02724","archive_url":"https://space-kitty.com/papers/doi:10.1021/acs.chemmater.6b02724","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2520500207","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":[]}