Physics-Informed Neural Networks (PINNs) are (deep) neural networks that are trained using physics properties, e.g., ordinary or partial differential equations in the loss function.
logistic_de.ipynb: Jupyter notebook solving the logistic differential equation using a PINN.pendulum.ipynb: Jupyter notebook solving the equation of a pendulum with damping using a PINN. equation using a PINN.environment.yml: conda environment specification file.