Advanced Turbulence Models I
ORAL · A19 ·
Presentations
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Physics-informed deep neural networks applied to scalar subgrid flux modeling in a mixed DNS/LES framework
ORAL
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Authors
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Gavin Portwood
- Los Alamos National Laboratory
- Los Alamos National Laboratory, Los Alamos
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Misha Chertkov
- University of Arizona
- Los Alamos National Laboratory, Los Alamos
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Balasubramanya Nadiga
- Los Alamos National Lab
- Los Alamos National Laboratory, Los Alamos
- Los Alamos National Laboratory
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Juan Saenz
- Los Alamos National Laboratory
- LANL
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Daniel Livescu
- Los Alamos National Laboratory
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Fractional physical-inform neural networks (fPINNs) for turbulent flows
ORAL
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Authors
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Fangying Song
- Division of Applied Mathematics, Brown University
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Guofei Pange
- Division of Applied Mathematics, Brown University
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Charles Meneveau
- Johns Hopkins University
- Mechanical Engineering, Johns Hopkins University
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George Karniadakis
- Division of Applied Mathematics, Brown University
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Wall-modeled large-eddy simulation of a turbulent channel flow based on artificial neural network
ORAL
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Authors
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Young Mo Lee
- UNIST
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Jungil Lee
- Ajou University
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Jae Hwa Lee
- UNIST
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Zonal Turbulence Modeling via Decision Trees..
ORAL
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Authors
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Racheet Matai
- Geminus.AI
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Paul Durbin
- Professor, Iowa State University
- Iowa State University
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Fractional-Order LES Subgrid-Scale Modeling: Theory and Numerics
ORAL
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Authors
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Mehdi Samiee
- Michigan State University
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Ali Akhavan-Safaei
- Michigan State University
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Mohsen Zayernouri
- Michigan State University
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Motivation and development of the time-averaged active model-splitting hybrid RANS/LES
ORAL
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Authors
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sigfried haering
- Argonne National Laboratory
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Todd Oliver
- Oden Institute for Computational Engineering and Sciences, UT-Austin
- Oden Institute for Computational Engineering and Sciences
- University of Texas, Austin
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Ramesh Balakrishnan
- Argonne National Laboratory
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Robert Moser
- Oden Institute for Computational Engineering and Sciences, UT-Austin
- University of Texas, Austin
- Oden Institute for Computational Engineering and Sciences
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Numerically measured scale-dependent eddy viscosity in homogeneous isotropic turbulence
ORAL
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Authors
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yasaman shirian
- Stanford University
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Ali Mani
- Stanford University
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