This Jupyter notebook provides a tutorial on solving the Lid-Driven Cavity fluid dynamics problem using Physics-Informed Neural Networks (PINNs).
We utilize NVIDIA's Modulus Sym library, encoding the Navier-Stokes partial differential equations and defining boundary conditions to be fed into a fully connected neural network architecture.