I assume that you are already familiar with neural networks, mathematical notation and calculus throughout this article.
Physics-Informed Neural Networks (PINNs) [1] are all the rage right now (or at the very least they are on my LinkedIn). But what are they? In this article, I will attempt to motivate these types of networks and then present a straightforward implementation with PyTorch. Most of the implementations currently out there are either in Tensorflow or are have been overcomplicated.
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