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
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