Fig. 4From: POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equationsThe \(L^2\) relative error for the POD-NN and POD-Galerkin PINN ROMs for both the velocity field (on the left) and the pressure field (on the right). The curves are already in percentages, the values of the errors are depicted versus the test values of the physical viscosityBack to article page