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Convolutional Autoencoders, Clustering and POD for Low-dimensional
  Parametrization of Navier-Stokes Equations
v1v2 (latest)

Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations

Computers and Mathematics with Applications (CMA), 2023
2 February 2023
Yongho Kim
Jan Heiland
ArXiv (abs)PDFHTML

Papers citing "Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations"

1 / 1 papers shown
Title
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical systemAPL Machine Learning (AML), 2025
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
175
2
0
06 Jan 2025
1