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Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime

dc.contributor.authorAykol, Muratahan
dc.contributor.authorGopal, Chirranjeevi Balaji
dc.contributor.authorAnapolsky, Abraham
dc.contributor.authorHerring, Patrick K
dc.contributor.authorvan Vlijmen, Bruis
dc.contributor.authorBerliner, Marc D
dc.contributor.authorBazant, Martin Z
dc.contributor.authorBraatz, Richard D
dc.contributor.authorChueh, William C
dc.contributor.authorStorey, Brian D
dc.date.accessioned2021-10-27T19:52:12Z
dc.date.available2021-10-27T19:52:12Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/133337
dc.language.isoen
dc.publisherThe Electrochemical Society
dc.relation.isversionof10.1149/1945-7111/abec55
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceThe Electrochemical Society
dc.titlePerspective—Combining Physics and Machine Learning to Predict Battery Lifetime
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.relation.journalJournal of The Electrochemical Society
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-08T16:05:58Z
dspace.orderedauthorsAykol, M; Gopal, CB; Anapolsky, A; Herring, PK; van Vlijmen, B; Berliner, MD; Bazant, MZ; Braatz, RD; Chueh, WC; Storey, BD
dspace.date.submission2021-06-08T16:05:59Z
mit.journal.volume168
mit.journal.issue3
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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