3 papers
cs.CE2025
A Parametric Multiscale Surrogate Framework Based on Texture-Generalizable Deep Material Networks for Polycrystal Modeling
Ting-Ju Wei, Tung-Huan Su, Chuin-Shan Chen
This work presents a computational framework for parametric multiscale surrogate modeling of polycrystalline materials. The framework integrates a physics-based Deep Material Netwo…
cs.CE2025
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
Ting-Ju Wei, Tung-Huan Su, Chuin-Shan Chen
Multiscale simulations are indispensable for connecting microstructural features to the macroscopic behavior of polycrystalline materials, but their high computational demands limi…
cs.CE2023
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites
Haoyan Wei, C. T. Wu, Wei Hu +6
Short-fiber-reinforced composites (SFRC) are high-performance engineering materials for lightweight structural applications in the automotive and electronics industries. Typically,…