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Physics Informed Neural Network (PINN) - Intuitions

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This repository contains a pytorch implementation of this nice PINN tutorial wrote by Ian Henderson. In his blog post he tries to regularize NN trained on projectile motion data by adding a loss term that enforces the physics of the problem.

The goal of this repository is to provide a more intuitive explanation of the PINN concept and how it works and, most important, to educate myself as well. I hope I can add more PINN examples in the future.

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Some examples of Physics-Informed Neural Networks

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