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

1. Read the PINNs paper and Chinese tutorial; understand "physics residual + data residual"
2. Run the minimal pinn-from-scratch example (e.g. Burgers)
3. Reproduce the same problem in DeepXDE; compare hand-written vs framework
4. Advance to NeuralOperator / industrial surrogates