Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
Beichen Li, Bolei Deng, Wan Shou, Tae-Hyun Oh, Yuanming Hu, Yiyue Luo, Liang Shi, Wojciech Matusik
A team of researchers from MIT CSAIL has moved beyond traditional trial-and-error methods to create materials with extraordinary performance through computational design.
A key innovation in the researcher’s approach was the use of neural networks as surrogate models for the simulations – reducing the time and resources needed for material design.