Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions

Alberto Olmo, Ahmed Zamzam, Andrew Glaws +1

With the growing size and complexity of turbulent flow models, data compression approaches are of the utmost importance to analyze, visualize, or restart the simulations. Recently,…