Dataset Information

Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.

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.

SUBMITTER: Li B

PROVIDER: S-EPMC10836719 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.

Li Beichen B Deng Bolei B Shou Wan W Oh Tae-Hyun TH Hu Yuanming Y Luo Yiyue Y Shi Liang L Matusik Wojciech W

Science advances 20240202 5

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 network ...[more]

PMID: 38306429

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Dataset Information

Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.

Publications

Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.

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