Gradient-Annihilated PINNs for Solving Riemann Problems: Application to Relativistic Hydrodynamics

Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Roberto Ruiz de Austri +2

We present a novel methodology based on Physics-Informed Neural Networks (PINNs) for solving systems of partial differential equations admitting discontinuous solutions. Our method…