- case_study.ipynb: this notebook shows how to implement a physics-informed DeepONet from scratch.
- case-study-inverse-parameter.ipynb: this notebook shows how to use physics-informed DeepONet to estimate unknown ODE parameters
- case-study-inverse-input-profile.ipynb: this notebook shows how to use physics-informed DeepONet to calibrate unknown input functions
A separate blog focusing on reviewing the fundamental theories is also available. The blog is located here:
Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch