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dc.contributor.authorKapteyn, M.G.
dc.contributor.authorKnezevic, D.J.
dc.contributor.authorHuynh, D.B.P.
dc.contributor.authorTran, M.
dc.contributor.authorWillcox, K.E.
dc.date.accessioned2022-02-18T16:13:11Z
dc.date.available2022-02-18T16:13:11Z
dc.date.issued2020-06-23
dc.identifier.issn0029-5981
dc.identifier.issn1097-0207
dc.identifier.urihttps://hdl.handle.net/1721.1/140522
dc.languageen
dc.publisherWileyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/nme.6423en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceWileyen_US
dc.titleData‐driven physics‐based digital twins via a library of component‐based reduced‐order modelsen_US
dc.typeArticleen_US
dc.identifier.citationKapteyn, M.G., Knezevic, D.J., Huynh, D.B.P., Tran, M. and Willcox, K.E. 2020. "Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models." International Journal for Numerical Methods in Engineering.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalInternational Journal for Numerical Methods in Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2022-02-09T20:24:58Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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