{"id":"doi:10.1038/nature17439","kind":"article","title":"Machine-learning-assisted materials discovery using failed experiments","authors":["Paul Raccuglia","Katherine C. Elbert","Philip Adler","Casey Falk","Malia B. Wenny","Aurelio Mollo","Matthias Zeller","Sorelle A. Friedler","Joshua Schrier","Alexander J. Norquist"],"author_count":10,"year":2016,"published":"2016-05-03","venue":"Nature","cited_by":1724,"doi":"10.1038/nature17439","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1038/nature17439","archive_url":"https://space-kitty.com/papers/doi:10.1038/nature17439","updated":null,"pmid":"27147027","pmcid":null,"openalex_id":"W2347129741","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"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":[{"slug":"ai-for-science","title":"AI for Science: State of the Field (October 2026)","url":"https://space-kitty.com/dossiers/ai-for-science"}]}