Fig. 2From: Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)Schematic visualization of the use encoder architecture used here, build from input given into 4 × 1d Convolutions, channel-wise max pooling and two fully connected networks with three layers each (layers: 512, 256, k). The dimension after every operation is given in bracketsBack to article page