72nd Annual Meeting of the APS Division of Fluid Dynamics
Volume 64, Number 13
Saturday–Tuesday, November 23–26, 2019;
Seattle, Washington
Session Index
Session Q17: Focus Session: Recent Advances in Data-driven and Machine Learning Methods for Turbulent Flows V
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Chair: Michael Chertkov, University of Arizona
Room: 4c4
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Tuesday, November 26, 2019
7:45AM - 7:58AM
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Q17.00001: Towards (Machine) Learning of Large Eddy Lagrangian Models (of Turbulence)
Michael Chertkov, Mikhail Stepanov
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Tuesday, November 26, 2019
7:58AM - 8:11AM
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Q17.00002: Dynamical System Analysis of Data-Driven Turbulence Models
Salar Taghizadeh, Freddie Witherden, Sharath Girimaji
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Tuesday, November 26, 2019
8:11AM - 8:24AM
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Q17.00003: Uncertainty quantification and optimization of spray break-up submodel using regularized multi-task neural nets.
Xiang Gao, Hongyuan Zhang, Krishna Bavandla, Ping Yi, Suo Yang
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Tuesday, November 26, 2019
8:24AM - 8:37AM
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Q17.00004: Approximate Bayesian Computation for Parameter Estimation in RANS Turbulence Models
Olga Doronina, Scott Murman, Peter Hamlington
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(Author Not Attending)
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Q17.00005: Machine-learning-assisting investigation of turbulence anisotropy
Junyi Mi, Chao Jiang, Shujin Laima, Hui Li
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Tuesday, November 26, 2019
8:50AM - 9:03AM
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Q17.00006: Predicting the stochasticity: GAN-VAE based deep learning model for turbulence prediction
Changlin Jiang, Amir Barati Farimani
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Tuesday, November 26, 2019
9:03AM - 9:16AM
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Q17.00007: Using machine learning to predict low-altitude atmospheric optical turbulence.
Chris Jellen, John Burkhardt, Charles Nelson, Cody Brownell
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Tuesday, November 26, 2019
9:16AM - 9:29AM
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Q17.00008: Convolutional Neural Networks for the Solution of the 2D Poisson Equation with Arbitrary Dirichlet Boundary Conditions, Mesh Sizes and Grid Spacings
Ali Girayhan Ozbay, Panagiotis Tzirakis, Georgios Rizos, Bjorn Schuller, Sylvain Laizet
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