A neural characteristic mapping method: Lagrangian PINNs based on flow maps for transport-dominated problems
We propose a novel numerical method for transport-dominated problems using Physics-Informed Neural Networks (PINNs). In such problems, the solution can develop large gradients and fine structures over time. This is particularly challenging for classical PINNs, which represent the solution itself. In our approach, rathe...