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Code from Parameterized neural ordinary differential equations: applications to computational physics problems

Version 2 2021-09-16, 09:40

Version 1 2021-09-02, 06:29

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posted on 2021-09-08, 00:33 authored by Kookjin Lee, Eric J. Parish

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Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences

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deep learning autoencoders machine learning nonlinear manifolds model reduction neural ordinary differential equations latent-dynamics learning

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