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Proceedings of the National Academy of Sciences • Vol 121 • No 40
Accurate prediction of discontinuous crack paths in random porous media via a generative deep learning model
September 2024 • Yuxiang He, Yu Tan, Mingshan Yang, Yongbin Wang, Yangguang Xu, Jianghong Yuan, Xiangyu Li, Weiqiu Chen, Guozheng Kang
Pore structures provide extra freedoms for the design of porous media, leading to desirable properties, such as high catalytic rate, energy storage efficiency, and specific strength. This unfortunately makes the porous media susceptible to failure. Deep understanding of the failure mechanism in microstructures is a key to customizing high-performance crack-resistant porous media. However, solving the fracture problem of the porous materials is computationally intractable due to the highly complicated configuration…
Materials Science
Computer Science
Generative Grammar
Artificial Intelligence
Composite Material
Physics