Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs
Name
sciadv.adk4284.pdf
Description
Published version
Size
5.73 MB
Format
Adobe PDF
Checksum (MD5)
6f40d763600b5f63289e8539268d9bd7
Author(s)
Li, Beichen
Deng, Bolei
Shou, Wan
Oh, Tae-Hyun
Hu, Yuanming
Luo, Yiyue
Shi, Liang
Matusik, Wojciech
Date Issued
February 2, 2024
Journal
Science Advances
Publisher
American Association for the Advancement of Science
Citation
Beichen Li et al. ,Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.Sci. Adv.10,eadk4284(2024).
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1126/sciadv.adk4284
