Suan Lee

Physics-informed neural networks and neural operators for PDEs: A review of architectures, training pathologies, and method selection.

Physics-informed neural networks (PINNs) and neural operators are increasingly used to learn solutions and solution operators for partial differential equations, but the literature remains fragmented across architectures, training objectives, and benchmark protocols. This review organizes these developments for a neura...