Fig. 11From: POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equationsThe drag coefficient of the cubic obstacle for the build-up phase and the offline snapshots time-window. (a) The time-history of the drag coefficient \(C_d\) during the build-up phase in the time interval [20, 100]. (b) The time-history of the drag coefficient \(C_d\) in the snapshots time-window [100, 150]Back to article page