Fourier Neural Operater for Darcy Flow

This example demonstrates how to set up a data-driven model for a 2D Darcy flow using the Fourier Neural Operator (FNO) architecture inside of Modulus.

To train the model, run

            

            
python train_fno_darcy.py
        

training data will be generated on the fly.

Progress can be monitored using MLFlow. Open a new terminal and navigate to the training directory, then run:

            

            
mlflow ui -p 2458
        

View progress in a browser at http://127.0.0.1:2458

• Fourier Neural Operator for Parametric Partial Differential Equations