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Inverse Physics-Informed Neural Networks by eliasc.rodrigues2191 is a document available to read on EtoBox.

What is Inverse Physics-Informed Neural Networks about?

This document discusses inverse physics-informed neural networks (iPINNs) which can determine the parameters of a differential equation that produced a given response. It begins by explaining physics-informed neural networks (PINNs) which produce responses adhering to a differential equation. The document then focuses on using PINNs and iPINNs for second-order differential equations describing damped harmonic motion systems. It provides the analytical solutions for under-damped, critically damped, and over-

Author

eliasc.rodrigues2191

Language

EN