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Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning

dc.contributor.authorYu, Chi‐Hua
dc.contributor.authorTseng, Bor‐Yann
dc.contributor.authorYang, Zhenze
dc.contributor.authorTung, Cheng‐Che
dc.contributor.authorZhao, Elena
dc.contributor.authorRen, Zhi‐Fan
dc.contributor.authorYu, Sheng‐Sheng
dc.contributor.authorChen, Po‐Yu
dc.contributor.authorChen, Chuin‐Shan
dc.contributor.authorBuehler, Markus J
dc.date.accessioned2022-09-16T14:54:24Z
dc.date.available2022-09-16T14:54:24Z
dc.date.issued2022-08-17
dc.identifier.urihttps://hdl.handle.net/1721.1/145459
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/adts.202200459en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceWileyen_US
dc.titleHierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learningen_US
dc.typeArticleen_US
dc.identifier.citationYu, Chi‐Hua, Tseng, Bor‐Yann, Yang, Zhenze, Tung, Cheng‐Che, Zhao, Elena et al. 2022. "Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning." Advanced Theory and Simulations.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanicsen_US
dc.relation.journalAdvanced Theory and Simulationsen_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.updated2022-09-16T14:39:36Z
dspace.orderedauthorsYu, C; Tseng, B; Yang, Z; Tung, C; Zhao, E; Ren, Z; Yu, S; Chen, P; Chen, C; Buehler, MJen_US
dspace.date.submission2022-09-16T14:39:39Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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