Bulletin of the American Physical Society
72nd Annual Meeting of the APS Division of Fluid Dynamics
Volume 64, Number 13
Saturday–Tuesday, November 23–26, 2019; Seattle, Washington
Session G16: CFD: Data-driven Methods
3:48 PM–5:32 PM,
Sunday, November 24, 2019
Room: 4c3
Chair: Mihailo Javanovic, USC
Abstract: G16.00002 : A data-driven approach to modeling turbulent decay at non-asymptotic Reynolds numbers
4:01 PM–4:14 PM
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Abstract
Authors:
Mateus Dias Ribeiro
(German Research Center for Artificial Intelligence (DFKI))
Gavin D Portwood
(Los Alamos National Laboratory, Los Alamos)
Peetak Mitra
(University of Massachusetts, Amherst)
Tan Mihn Nyugen
(NVIDIA Corporation, Santa Clara)
Balasubramanya T Nadiga
(Los Alamos National Laboratory, Los Alamos)
Michael Chertkov
(Los Alamos National Laboratory, Los Alamos)
Anima Anandkumar
(NVIDIA Corporation, Santa Clara)
David P Schmidt
(University of Massachusetts, Amherst)
Collaborations:
NVIDIA, UMass, LANL, DFKI
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