PINN from Scratch
"PINN from Scratch" implements physics-informed neural networks from minimal dependencies. Together with Raissi et al.'s 2019 original PINNs repo (full Chinese tutorials on CSDN / GitCode), it forms the smoothest learning path for Chinese-speaking developers entering physics AI.
Suggested path
- Read the PINNs paper and Chinese tutorial; understand "physics residual + data residual"
- Run the minimal pinn-from-scratch example (e.g. Burgers)
- Reproduce the same problem in DeepXDE; compare hand-written vs framework
- Advance to NeuralOperator / industrial surrogates
Tags: PINNTutorialBeginnerChinese
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