DC Field | Value | Language |
---|---|---|
dc.contributor.author | BEICHEN LI | - |
dc.contributor.author | Oh, Tae-Hyun | - |
dc.contributor.author | Wojciech Matusik | - |
dc.contributor.author | Deng, Bolei | - |
dc.contributor.author | Shou, Wan | - |
dc.contributor.author | Hu, Yuanming | - |
dc.contributor.author | Luo, Yiyue | - |
dc.contributor.author | Shi, Liang | - |
dc.contributor.author | Matusik, Wojciech | - |
dc.date.accessioned | 2024-03-06T01:20:07Z | - |
dc.date.available | 2024-03-06T01:20:07Z | - |
dc.date.created | 2024-03-04 | - |
dc.date.issued | 2024-02 | - |
dc.identifier.issn | 2375-2548 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/121382 | - |
dc.description.abstract | The conflict between stiffness and toughness is a fundamental problem in engineering materials design. However, the systematic discovery of microstructured composites with optimal stiffness-toughness trade-offs has never been demonstrated, hindered by the discrepancies between simulation and reality and the lack of data-efficient exploration of the entire Pareto front. We introduce a generalizable pipeline that integrates physical experiments, numerical simulations, and artificial neural networks to address both challenges. Without any prescribed expert knowledge of material design, our approach implements a nested-loop proposal-validation workflow to bridge the simulation-to-reality gap and find microstructured composites that are stiff and tough with high sample efficiency. Further analysis of Pareto-optimal designs allows us to automatically identify existing toughness enhancement mechanisms, which were previously found through trial and error or biomimicry. On a broader scale, our method provides a blueprint for computational design in various research areas beyond solid mechanics, such as polymer chemistry, fluid dynamics, meteorology, and robotics. © 2024 American Association for the Advancement of Science. All rights reserved. | - |
dc.language | English | - |
dc.publisher | American Association for the Advancement of Science | - |
dc.relation.isPartOf | Science Advances | - |
dc.title | Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs | - |
dc.type | Article | - |
dc.identifier.doi | 10.1126/sciadv.adk4284 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Science Advances, v.10, no.5 | - |
dc.identifier.wosid | 001186784700016 | - |
dc.citation.number | 5 | - |
dc.citation.title | Science Advances | - |
dc.citation.volume | 10 | - |
dc.contributor.affiliatedAuthor | Oh, Tae-Hyun | - |
dc.identifier.scopusid | 2-s2.0-85183812609 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | TOPOLOGY OPTIMIZATION | - |
dc.subject.keywordPlus | VARIATIONAL APPROACH | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | ULTRALIGHT | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
library@postech.ac.kr Tel: 054-279-2548
Copyrights © by 2017 Pohang University of Science ad Technology All right reserved.