Article Source

• PINNs - Ordinary Differential Equations Tutorial

PINNs - Ordinary Differential Equations Tutorial

Abstract

In this tutorial, we’ll explore how to solve the 1D Poisson equation using Physics Informed Neural Networks (PINNs). You’ll learn about the fundamentals of the Poisson equation, the integration of physical laws into neural networks, and how to set up, build, and train a PINN to solve this important equation. Follow along with our hands-on coding examples and gain practical insights into applying PINNs for solving differential equations. Perfect for both beginners and advanced learners, this video provides a comprehensive yet straightforward approach to mastering PINNs.

Physics Informed Neural Networks PINNs, Rethinking Physics Informed Neural Networks, Physics Informed Machine Learning- High Level Overview of AI and ML in Science and Engineering, Introduction to Physics Informed Neural Networks - A hands on, project based course, Physics Informed Neural Networks PINNs - An Introduction, Learning Physics Informed Machine Learning, How Do Physics-Informed Neural Networks Work?, Physics-informed neural networks for fluid mechanics, Get hands On with PINNs, Physics Informed Neural Networks - an intuitive explanation - Introduction, Physics Informed Neural Networks PINNs for approximating PDEs, Physics Informed Neural Network PINNs: Step by Step plan, Inverse Physics Informed Neural Networks I-PINNs, Physics-informed neural networks for fluid mechanics, Neural Network to Solve Navier-Stokes Equations.