{"id":"doi:10.1038/s41586-019-1335-8","kind":"article","title":"Unsupervised word embeddings capture latent knowledge from materials science literature","authors":["Vahe Tshitoyan","John M. Dagdelen","Leigh Weston","Alexander Dunn","Ziqin Rong","Olga Kononova","Kristin Aslaug Persson","Gerbrand Ceder","Anubhav Jain"],"author_count":9,"year":2019,"published":"2019-07-03","venue":"Nature","cited_by":1123,"doi":"10.1038/s41586-019-1335-8","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1038/s41586-019-1335-8","archive_url":"https://space-kitty.com/papers/doi:10.1038/s41586-019-1335-8","updated":null,"pmid":"31270483","pmcid":null,"openalex_id":"W2953641512","pdf_url":"https://escholarship.org/content/qt082091b4/qt082091b4.pdf","abstract":null,"abstract_license":null,"license":null,"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":[]}