Boundary-Informed Method of Lines for Physics Informed Neural Networks

Maximilian Cederholm, Siyao Wang, Haochun Wang +2

We propose a hybrid solver that fuses the dimensionality-reduction strengths of the Method of Lines (MOL) with the flexibility of Physics-Informed Neural Networks (PINNs). Instead…