Step #1: Benchmark CFD example
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
![modulus-03.png](https://docscontent.nvidia.com/dims4/default/92f3737/2147483647/strip/true/crop/308x292+0+0/resize/308x292!/quality/90/?url=https%3A%2F%2Fk3-prod-nvidia-docs.s3.us-west-2.amazonaws.com%2Fbrightspot%2Fsphinx%2F00000186-155c-dd43-ad9e-bf5efc840000%2Flaunchpad%2Fai%2Fmodulus%2Flatest%2F_images%2Fmodulus-03.png)
Lid driven cavity geometry
More detailed description of the example can be found in Modulus documentation here