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dc.contributor.authorRegenwetter, Lyle
dc.contributor.authorWeaver, Colin
dc.contributor.authorAhmed, Faez
dc.date.accessioned2023-05-16T14:19:03Z
dc.date.available2023-05-16T14:19:03Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/1721.1/150730
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CAD.2022.103446en_US
dc.rightsCreative Commons Attribution-Noncommercial-NoDerivativesen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcearXiven_US
dc.titleFRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Framesen_US
dc.typeArticleen_US
dc.identifier.citationRegenwetter, Lyle, Weaver, Colin and Ahmed, Faez. 2023. "FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames." Computer-Aided Design, 156.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalComputer-Aided Designen_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
dc.date.updated2023-05-16T14:15:20Z
dspace.orderedauthorsRegenwetter, L; Weaver, C; Ahmed, Fen_US
dspace.date.submission2023-05-16T14:15:27Z
mit.journal.volume156en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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