{"id":"doi:10.1007/s11837-013-0755-4","kind":"article","title":"Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)","authors":["James E. Saal","Scott J. Kirklin","Muratahan Aykol","Bryce Meredig","Chris M. Wolverton"],"author_count":5,"year":2013,"published":"2013-09-27","venue":"JOM","cited_by":2540,"doi":"10.1007/s11837-013-0755-4","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1007/s11837-013-0755-4","archive_url":"https://space-kitty.com/papers/doi:10.1007/s11837-013-0755-4","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W1976492731","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":[]}