Fig. 13From: POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equationsThe approximation of the physical viscosity by the PINN at each training epoch for different reduced number of modes. (a) Reduced setting : \(N_u = N_p = N_S = 10\). (b) Reduced setting : \(N_u = N_p = N_S = 30\). (c) Reduced setting : \(N_u = N_p = N_S = 40\). (d) Reduced setting : \(N_u = N_p = N_S = 80\)Back to article page