This tutorial steps through the process of solving a 2D flow for the Lid Driven Cavity (LDC) example using physics-informed neural networks (PINNs). In this tutorial, you will learn how to:
Generate a 2D geometry using Modulus’ geometry module;
Set up the boundary conditions;
Select the flow equations to be solved;
Interpret the different losses and tune the network; and
Do basic post-processing
Lid driven cavity geometry
More detailed description of the example can be found in Modulus documentation here