Learning to PINN Down PDEs: Lessons from Developing a Physics-Informed Neural Network Framework

In this work, I implement a Physics-Informed Neural Network (PINN) to solve the 1D Burgers' equation. I begin with a simple feed-forward neural network (FFNN), which is trained using the finite-difference solution of the Burgers' equation. I then exte