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

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

6 July 2021
S. Dutta
Peter Rivera-Casillas
Orie M. Cecil
Matthew W. Farthing
E. Perracchione
M. Putti
    AI4CE
ArXiv (abs)PDFHTML

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

1 / 1 papers shown
Title
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEsJournal of Scientific Computing (J. Sci. Comput.), 2022
Justin Baker
E. Cherkaev
A. Narayan
Bao Wang
AI4CE
195
7
0
24 Feb 2022
1