PINNs: Revolutionizing Engineering Simulations with PyTorch

This article introduces an exciting application of Physics-Informed Neural Networks (PINNs), using PyTorch to solve the classic "Newton's Law of Cooling." The focus on practical implementation, moving beyond theory, is fantastic for aspiring CAE engineers. It offers a glimpse into how AI can revolutionize traditional simulation methods by being meshless.

• •The article provides a practical guide for implementing PINNs using PyTorch.
• •It demonstrates how to solve the Newton's Law of Cooling using a neural network.
• •The ultimate goal is to apply this approach to more complex physics models like the Navier-Stokes equations.