Multiscale deep learning for woven composites
Woven composites exhibit a complex hierarchical structure with multiple heterogeneous sub-scales, stemming from microscale fiber arrangements and mesoscale interlacing patterns, necessitating sophisticated modeling approaches to accurately capture their intricate multiscale nature.