PINN-tutorial

This is a tutorial on how to train a forward PINN, and inverse PINN for the massdamper (underdamped scenario); it also provides insight into the role of learning rates, and weights, and different activation functions and weights, and shows how sensitive the model is to such decisions.

Steps to run the tutorial

1. Set up an environment (conda, venv, or other virtual environment).

2. (Optional) Activate your environment. Example for the included myenv virtualenv:

   source myenv/bin/activate

3. Install the requirements:

   python -m pip install --upgrade pip wheel
   python -m pip install -r requirements.txt

4. Run the tutorial notebook mass-damper-PINN-tutorial-beta.ipynb.