This JupyterLab environment has been provided to facilitate your development and experimentation with training Physics-ML models using Modulus. In the left-hand navigation pane, you will see ‘Getting Started with Modulus workflow’ Jupyter Notebook link. You can run the example notebook to understand the recipe for using the Modulus framework for your own use case.
Physics-ML model output compared with the analytical result
The training notebook will take you through the key steps:
Configuring using Hydra
Defining the geometry
Specifying the nodes and constraints to set up the computational graph
Launching training and validating the results
More detailed description of the example can be found in Modulus documentation here.