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rspa20210162_si_001.
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Code from Parameterized neural ordinary differential equations: applications to computational physics problems
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Version 2
Version 2
2021-09-16, 09:40
Version 1
2021-09-02, 06:29
dataset
posted on 2021-09-08, 00:33
authored by
Kookjin Lee
,
Eric J. Parish
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Categories
Computational Physics
Artificial Intelligence and Image Processing
Keywords
deep learning
autoencoders
machine learning
nonlinear manifolds
model reduction
neural ordinary differential equations
latent-dynamics learning
Licence
CC BY 4.0
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