Physics-Informed NN
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Created by Jose Alvarez with Mathify.dev
The animation shows how Physics-Informed Neural Networks (PINNs) learn to solve a heat equation. It visualizes a neural network initially failing to fit the data, then gradually learning to produce a solution that aligns with the known physics, ultimately achieving a near-perfect match.