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

Yongho, Kim; Heiland, Jan

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

Yongho, K., & Heiland, J. (in preparation). Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-A487-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-A48A-F

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Creators:
Yongho, Kim¹, Author
Heiland, Jan^{1, 2}, Author

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1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Dates: Created: 2023-02-02Modified: 2023-02-03

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Identifiers: arXiv: 2302.01278

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