A Step by Step Guide to Solve 1D Burgers’ Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods

In this tutorial, we explore an innovative approach that blends deep learning with physical laws by leveraging Physics-Informed Neural Networks (PINNs) to solve the one-dimensional Burgers’ equation. Using PyTorch on Google Colab, we demonstrate how to encode the governing differential equation directly into the neural network’s loss function, allowing the model to learn the solution […] The post A Step by Step Guide to Solve 1D Burgers’ Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods appeared first on MarkTechPost.

Mar 29, 2025 - 06:48

A Step by Step Guide to Solve 1D Burgers’ Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods

In this tutorial, we explore an innovative approach that blends deep learning with physical laws by leveraging Physics-Informed Neural Networks (PINNs) to solve the one-dimensional Burgers’ equation. Using PyTorch on Google Colab, we demonstrate how to encode the governing differential equation directly into the neural network’s loss function, allowing the model to learn the solution