POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations
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 (NSE). In the proposed approac...