POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier-Stokes equations

Saddam Hijazi, Melina Freitag, Niels Landwehr

We present a Reduced Order Model (ROM) which exploits recent developments in Physics Informed Neural Networks (PINNs) for solving inverse problems for the Navier--Stokes equations…