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Figure S1: from Parameterized neural ordinary differential equations: applications to computational physics problems

Version 2 2021-09-16, 09:40

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journal contribution

posted on 2021-09-16, 09:40 authored by Kookjin Lee, Eric J. Parish

Abnormal protrusionmorphology following CG7379KD

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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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