A single, complete introduction to physics-informed neural networks (PINNs) — the two earlier write-ups merged into one, losing none of the figures or interactive simulations. It runs in two parts: Part 1, in plain words, builds the intuition and lets you train a PINN live in the browser; Part 2, a working introduction, covers the forward and inverse problems, the failure modes, and the vehicle-health fit.
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Both parts live at one URL, with a jump-nav between them. Part 1 is the plain-words explainer with the in-browser training demo; Part 2 is the working introduction with the failure-mode sandboxes and the PHM/VHM discussion.
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