/NeuralNetworks-WavePropagation

Comparative analysis of computational modeling of acoustic wave propagation using neural network-based methods.

Primary LanguageJupyter Notebook

Comparative Analysis of Neural Network-Based Methods for Wave Propagation Modeling

This repository contains a collection of notebooks that demonstrate various deep learning approaches to modeling the wave equation. The following notebooks are included:

  1. Simple Function Approximation with PyTorch
  2. Approximation of the 1-D Wave Equation With Neural Networks Using PyTorch
  3. Approximation of the 1-D Wave Equation with Physics-Informed Neural Networks (PINNs) Using PyTorch
  4. NNs-Based 1D Acoustic Wave Simulation with a Source Term
  5. PINNs-Based 1D Acoustic Wave Simulation with a Source Term