1D Simple Harmonic Oscillator (SHO) PINN
Link to open source: https://github.com/c0ntr1butr/1D-Oscillator_PINN
The project aims to develop a Physics-Informed Neural Network (PINN) to solve the 1D Simple Harmonic Oscillator (SHO) governing differential equation. The goal is to incorporate the underlying physics directly into the neural network’s loss function and accurately predict the oscillator’s displacement over time while satisfying the governing equation and initial conditions.
