dc.contributor.author | Danhaive, Renaud | |
dc.contributor.author | Mueller, Caitlin T | |
dc.date.accessioned | 2022-09-26T14:20:45Z | |
dc.date.available | 2022-09-26T14:20:45Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/145568 | |
dc.language.iso | en | |
dc.publisher | Elsevier BV | en_US |
dc.relation.isversionof | 10.1016/J.AUTCON.2021.103664 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | Other repository | en_US |
dc.title | Design subspace learning: Structural design space exploration using performance-conditioned generative modeling | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Danhaive, Renaud and Mueller, Caitlin T. 2021. "Design subspace learning: Structural design space exploration using performance-conditioned generative modeling." Automation in Construction, 127. | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Architecture | en_US |
dc.relation.journal | Automation in Construction | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2022-09-26T13:52:55Z | |
dspace.orderedauthors | Danhaive, R; Mueller, CT | en_US |
dspace.date.submission | 2022-09-26T13:53:10Z | |
mit.journal.volume | 127 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |