Physics-Informed Neural Networks: An Application-Centric Guide

A comprehensive overview of PINN’s real-world success stories

Image generated by DALL-E.

When it comes to applying machine learning to physical system modeling, it is more and more common to see practitioners moving away from a pure data-driven strategy, and starting to embrace a hybrid mindset, where rich prior physical knowledge (e.g…