Focus Session: Recent Advances in Data-driven and Machine Learning Methods for Turbulent Flows V
ORAL · Q17 ·
Presentations
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Towards (Machine) Learning of Large Eddy Lagrangian Models (of Turbulence)
ORAL
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Authors
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Misha Chertkov
- University of Arizona
- Los Alamos National Laboratory, Los Alamos
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Mikhail Stepanov
- University of Arizona
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Dynamical System Analysis of Data-Driven Turbulence Models
ORAL
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Authors
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Salar Taghizadeh
- Texas A\&M University
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Freddie Witherden
- Texas A\&M University
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Sharath Girimaji
- Texas A\&M University
- Ocean and Aerospace Engineering, Texas A&M University
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Uncertainty quantification and optimization of spray break-up submodel using regularized multi-task neural nets.
ORAL
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Authors
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Xiang Gao
- Microsoft Research
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Hongyuan Zhang
- University of Minnesota
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Krishna Bavandla
- University of Minnesota
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Ping Yi
- University of Minnesota
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Suo Yang
- University of Minnesota
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Approximate Bayesian Computation for Parameter Estimation in RANS Turbulence Models
ORAL
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Authors
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Olga Doronina
- University of Colorado, Boulder
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Scott Murman
- NASA Ames Research Center
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Peter Hamlington
- University of Colorado, Boulder
- University of Colorado Boulder
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Machine-learning-assisting investigation of turbulence anisotropy
ORAL
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Authors
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Junyi Mi
- Harbin Institute of Technology
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Chao Jiang
- Harbin Institute of Technology
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Shujin Laima
- Harbin Institute of Technology
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Hui Li
- Harbin Institute of Technology
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Predicting the stochasticity: GAN-VAE based deep learning model for turbulence prediction
ORAL
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Authors
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Changlin Jiang
- Carnegie Mellon University
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Amir Barati Farimani
- Carnegie Mellon University
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Using machine learning to predict low-altitude atmospheric optical turbulence.
ORAL
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Authors
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Chris Jellen
- U.S. Naval Academy
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John Burkhardt
- U.S. Naval Academy
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Charles Nelson
- U.S. Naval Academy
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Cody Brownell
- U.S. Naval Academy
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Convolutional Neural Networks for the Solution of the 2D Poisson Equation with Arbitrary Dirichlet Boundary Conditions, Mesh Sizes and Grid Spacings
ORAL
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Authors
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Ali Girayhan Ozbay
- Department of Aeronautics, Imperial College London
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Panagiotis Tzirakis
- Department of Computing, Imperial College London
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Georgios Rizos
- Department of Computing, Imperial College London
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Bjorn Schuller
- Department of Computing, Imperial College London
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Sylvain Laizet
- Department of Aeronautics, Imperial College London
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