Picture for Chung-Hao Lee

Chung-Hao Lee

Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements

Add code
Mar 27, 2024
Viaarxiv icon

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics

Add code
Feb 03, 2023
Viaarxiv icon

Anomaly Detection in Driving by Cluster Analysis Twice

Add code
Dec 15, 2022
Viaarxiv icon

A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements

Add code
Apr 01, 2022
Figure 1 for A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Figure 2 for A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Figure 3 for A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Figure 4 for A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements
Viaarxiv icon

Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling

Add code
Mar 15, 2022
Figure 1 for Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Figure 2 for Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Figure 3 for Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Figure 4 for Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
Viaarxiv icon