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Machine Learning Predictions of Block Copolymer Self‐Assembly

dc.contributor.authorTu, Kun‐Hua
dc.contributor.authorHuang, Hejin
dc.contributor.authorLee, Sangho
dc.contributor.authorLee, Wonmoo
dc.contributor.authorSun, Zehao
dc.contributor.authorAlexander‐Katz, Alfredo
dc.contributor.authorRoss, Caroline A.
dc.date.accessioned2022-02-22T19:56:13Z
dc.date.available2022-02-22T19:56:13Z
dc.date.issued2020-11-18
dc.identifier.issn0935-9648
dc.identifier.issn1521-4095
dc.identifier.urihttps://hdl.handle.net/1721.1/140599
dc.languageen
dc.publisherWileyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/adma.202005713en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceWileyen_US
dc.titleMachine Learning Predictions of Block Copolymer Self‐Assemblyen_US
dc.typeArticleen_US
dc.identifier.citationTu, Kun‐Hua, Huang, Hejin, Lee, Sangho, Lee, Wonmoo, Sun, Zehao et al. 2020. "Machine Learning Predictions of Block Copolymer Self‐Assembly." Advanced Materials, 32 (52).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.relation.journalAdvanced Materialsen_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.submission2022-02-09T21:03:39Z
mit.journal.volume32en_US
mit.journal.issue52en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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