Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs

2 code implementations • 6 Jul 2021 • Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti

Model reduction for fluid flow simulation continues to be of great interest across a number of scientific and engineering fields.