Scientific Computing

PDE and Machine Learning (1): Physics-Informed Neural Networks

From finite differences to PINNs: automatic differentiation, PDE residual losses, NTK-based training pathologies, Burgers inverse problems, and a side-by-side comparison with FEM and neural operators. Seven figures …