5 papers
Deep material network for homogenization of piezoelectric composites
Ting-Ju Wei, Yen-Ming Lu, Chuin-Shan Chen
Piezoelectric composites are widely used in sensors, actuators, transducers, and energy-harvesting devices because their effective electromechanical performance can be tailored by…
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…
Efficient Nonlinear Multiscale Prediction for Unseen Polycrystalline Textures via Self-Supervised Microstructure Pretraining
Ting-Ju Wei, Chuin-Shan Chen
Predicting the nonlinear mechanical response of polycrystalline materials across diverse crystallographic textures remains computationally prohibitive, and existing reduced-order s…
Highway Networks for Improved Surface Reconstruction: The Role of Residuals and Weight Updates
A. Noorizadegan, Y. C. Hon, D. L. Young +1
Surface reconstruction from point clouds is a fundamental challenge in computer graphics and medical imaging. In this paper, we explore the application of advanced neural network a…
Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning
A. Noorizadegan, R. Cavoretto, D. L. Young +1
Background: Deep learning techniques, particularly neural networks, have revolutionized computational physics, offering powerful tools for solving complex partial differential equa…