Sunday, November 21, 2021
2:45PM - 2:58PM
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E31.00001: Troubleshooting experiments using machine learning
Logan Kageorge, Michael F Schatz, Roman O Grigoriev
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Sunday, November 21, 2021
2:58PM - 3:11PM
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E31.00002: Physics-Guided Machine Learning Variational Multiscale Reduced Order Models
Shady E Ahmed, Omer San, Adil Rasheed, Alessandro Veneziani, Traian Iliescu
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Sunday, November 21, 2021
3:11PM - 3:24PM
Not Participating
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E31.00003: A hybrid physics-based and data-driven approach with autoencoders: Rayleigh-Benard convection
Saeed Akbari, Suraj A Pawar, Omer San
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Sunday, November 21, 2021
3:24PM - 3:37PM
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E31.00004: On the connection between resolvent analysis and forced optimally time-dependent decomposition
Alireza Amiri-Margavi, Hessam Babaee
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Sunday, November 21, 2021
3:37PM - 3:50PM
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E31.00005: Nonlinear Reduced-Order Solutions for PDEs With Conserved Quantities: Applications to Fluid Dynamics
William Anderson, Mohammad M Farazmand
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Sunday, November 21, 2021
3:50PM - 4:03PM
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E31.00006: No inverse necessary: a variational formulation of resolvent analysis
Benedikt Barthel, Salvador R Gomez, Beverley J McKeon
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Sunday, November 21, 2021
4:03PM - 4:16PM
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E31.00007: Modal analysis and interface tracking for multiphase flows
Daniel J Bodony, Palash Sashittal, Robert M Chiodi, Timothy B Morgan, Olivier Desjardins, Theodore J Heindel
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Sunday, November 21, 2021
4:16PM - 4:29PM
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E31.00008: A bi-fidelity framework to compute extreme-event probability
Xianliang Gong, Yulin Pan
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Sunday, November 21, 2021
4:29PM - 4:42PM
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E31.00009: Machine Learning Statistical Evolution of the Coarse-Grained Velocity Gradient Tensor
Criston M Hyett, Michael Chertkov, Yifeng Tian, Daniel Livescu, Mikhail Stepanov
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Sunday, November 21, 2021
4:42PM - 4:55PM
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E31.00010: Dynamic-Mode Decomposition for Aero-Optic Wavefront Characterization
Shervin Sahba, Diya Sashidhar, Christopher Wilcox, Austin McDaniel, Steven L Brunton, Nathan Kutz
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