Step #2: Darcy Flow example with Neural Operator
In this tutorial, you will use Modulus to set up a data-driven model for a 2D Darcy flow using the Fourier Neural Operator (FNO) architecture. In this tutorial, you will learn the following:
How to load grid data and set up data-driven constraints
How to create a grid validator node
How to use Fourier Neural Operator architecture in Modulus
![modulus-04.png](https://docscontent.nvidia.com/dims4/default/430f659/2147483647/strip/true/crop/1517x257+0+0/resize/1440x244!/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-04.png)
FNO surrogate model for 2D Darcy flow
More detailed description of the example can be found in Modulus documentation here