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Interpretable and Explainable Machine Learning for Materials Science and Chemistry

dc.contributor.authorOviedo, Felipe
dc.contributor.authorFerres, Juan Lavista
dc.contributor.authorBuonassisi, Tonio
dc.contributor.authorButler, Keith T
dc.date.accessioned2023-05-24T18:42:28Z
dc.date.available2023-05-24T18:42:28Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/150806
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionof10.1021/ACCOUNTSMR.1C00244en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACSen_US
dc.titleInterpretable and Explainable Machine Learning for Materials Science and Chemistryen_US
dc.typeArticleen_US
dc.identifier.citationOviedo, Felipe, Ferres, Juan Lavista, Buonassisi, Tonio and Butler, Keith T. 2022. "Interpretable and Explainable Machine Learning for Materials Science and Chemistry." Accounts of Materials Research, 3 (6).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalAccounts of Materials Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-05-24T18:40:19Z
dspace.orderedauthorsOviedo, F; Ferres, JL; Buonassisi, T; Butler, KTen_US
dspace.date.submission2023-05-24T18:40:21Z
mit.journal.volume3en_US
mit.journal.issue6en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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