ShuaiGuo16 / PI-DeepONet

Implementing a physics-informed DeepONet from scratch

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Physics-informed DeepONet

  • 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

Companion blog

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

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Implementing a physics-informed DeepONet from scratch


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