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dc.contributor.authorErps, Timothy
dc.contributor.authorFoshey, Michael
dc.contributor.authorLuković, Mina Konaković
dc.contributor.authorShou, Wan
dc.contributor.authorGoetzke, Hanns Hagen
dc.contributor.authorDietsch, Herve
dc.contributor.authorStoll, Klaus
dc.contributor.authorvon Vacano, Bernhard
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2022-07-18T12:42:05Z
dc.date.available2022-07-18T12:42:05Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143789
dc.description.abstract<jats:p>Machine learning can aid the discovery of useful 3D printing material formulations.</jats:p>en_US
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)en_US
dc.relation.isversionof10.1126/SCIADV.ABF7435en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceScience Advancesen_US
dc.titleAccelerated discovery of 3D printing materials using data-driven multiobjective optimizationen_US
dc.typeArticleen_US
dc.identifier.citationErps, Timothy, Foshey, Michael, Luković, Mina Konaković, Shou, Wan, Goetzke, Hanns Hagen et al. 2021. "Accelerated discovery of 3D printing materials using data-driven multiobjective optimization." Science Advances, 7 (42).
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalScience Advancesen_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.updated2022-07-18T12:32:35Z
dspace.orderedauthorsErps, T; Foshey, M; Luković, MK; Shou, W; Goetzke, HH; Dietsch, H; Stoll, K; von Vacano, B; Matusik, Wen_US
dspace.date.submission2022-07-18T12:32:39Z
mit.journal.volume7en_US
mit.journal.issue42en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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