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

doi:doi:10.57702/1j3cpvjy

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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The json representation of the dataset with its distributions based on DCAT.
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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

DOI retrieved: December 16, 2024

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