74th Annual Meeting of the APS Division of Fluid Dynamics
Volume 66, Number 17
Sunday–Tuesday, November 21–23, 2021;
Phoenix Convention Center, Phoenix, Arizona
Session Index
Session A11: Turbulence: Modeling & Simulations I: Data-Driven and Machine Learning Approaches
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Show Abstracts |
Chair: Petros Koumoutsakos, Harvard University
Room: North 125 AB
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Sunday, November 21, 2021
8:00AM - 8:13AM
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A11.00001: Capturing small-scale dynamics of turbulence using deep learning
Dhawal Buaria, Katepalli R Sreenivasan
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Sunday, November 21, 2021
8:13AM - 8:26AM
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A11.00002: Data Driven Learning of Mori-Zwanzig Operators for Isotropic Turbulence
Yifeng Tian, Yen Ting Lin, Marian Anghel, Daniel Livescu
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Sunday, November 21, 2021
8:26AM - 8:39AM
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A11.00003: Reconstruction of turbulent data from TURB-Rot database with deep generative models and Gappy POD
Michele Buzzicotti, Tianyi Li, Fabio Bonaccorso, Patricio Clark Di Leoni, Luca Biferale
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Sunday, November 21, 2021
8:39AM - 8:52AM
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A11.00004: Non-intrusive sensing from coarse measurements by means of generative adversarial networks (GANs)
Ricardo Vinuesa, Alejandro G\"uemes, Hao Hu, Stefano Discetti, Andrea Ianiro, Beril Sirmacek, Hossein Azizpour
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Sunday, November 21, 2021
8:52AM - 9:05AM
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A11.00005: Data-driven subgrid-scale parameterization of turbulence in the small-data limit
YIFEI GUAN, Adam Subel, Ashesh K Chattopadhyay, Pedram Hassanzadeh
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Sunday, November 21, 2021
9:05AM - 9:18AM
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A11.00006: Wall-models of turbulent flows via scientific multi-agent reinforcement learning
Petros Koumoutsakos, H. Jane Bae
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Sunday, November 21, 2021
9:18AM - 9:31AM
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A11.00007: Machine Learning-based Model to Improve Wall-modeled Large-eddy Simulation of Supersonic Turbulent Flows
Rozie Zangeneh
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Sunday, November 21, 2021
9:31AM - 9:44AM
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A11.00008: Machine Learning Lagrangian Large Eddy Simulations with Smoothed Particle Hydrodynamics
Yifeng Tian, Michael Chertkov, Michael Woodward, Mikhail Stepanov, Chris Fryer, Criston M Hyett, Daniel Livescu
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Sunday, November 21, 2021
9:44AM - 9:57AM
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A11.00009: Reinforcement learning for autonomous navigation of swimmers in turbulent flow
Anand Krishnan, Eurika Kaiser
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