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Convolutional Autoencoder Echo State Network (CAE-ESN) for Turbulent Flow Prediction

The dataset is a two-dimensional turbulent flow, analyzed using a convolutional autoencoder echo state network (CAE-ESN) for spatiotemporal decomposition and prediction of turbulent flow fields from data.

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Cite this as

Alberto Racca, Nguyen Anh Khoa Doan, Luca Magri (2024). Dataset: Convolutional Autoencoder Echo State Network (CAE-ESN) for Turbulent Flow Prediction. https://doi.org/10.57702/1j3cpvjy

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Alberto Racca
More Authors	Nguyen Anh Khoa Doan Luca Magri
Homepage	https://doi.org/10.1007/s10915-022-01134-8