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Encoding and exploring latent design space of optimal material structures via a VAE-LSTM model

dc.contributor.authorLew, Andrew J
dc.contributor.authorBuehler, Markus J
dc.date.accessioned2023-03-16T13:05:44Z
dc.date.available2023-03-16T13:05:44Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/148568
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.FINMEC.2021.100054en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleEncoding and exploring latent design space of optimal material structures via a VAE-LSTM modelen_US
dc.typeArticleen_US
dc.identifier.citationLew, Andrew J and Buehler, Markus J. 2021. "Encoding and exploring latent design space of optimal material structures via a VAE-LSTM model." Forces in Mechanics, 5.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.relation.journalForces in Mechanicsen_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.updated2023-03-16T12:52:50Z
dspace.orderedauthorsLew, AJ; Buehler, MJen_US
dspace.date.submission2023-03-16T12:52:58Z
mit.journal.volume5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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