77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024;
Salt Lake City, Utah
Session Index
Session J15: Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods II
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Show Abstracts |
Chair: Jian-Xun Wang, University of Notre Dame
Room: 155 E
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Sunday, November 24, 2024
5:50PM - 6:03PM
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J15.00001: Stochastic Generation of Lagrangian Turbulent Signals by Conditional Generative Diffusion Models
Michele Buzzicotti, Luca Biferale, Tianyi Li, Fabio Bonaccorso, Martino Andrea Scarpolini
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Sunday, November 24, 2024
6:03PM - 6:16PM
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J15.00002: Assimilating Shear Stress Distributions from Sparse Measurement Data and Flow Visualizations Using Deep Neural Networks
Lennart Rohlfs, Julien Weiss
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Sunday, November 24, 2024
6:16PM - 6:29PM
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J15.00003: Denoising and super-resolution of Flow Data by Physics-Informed Markov Random Fields
Cem Gormezano, Shawn C Shadden
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Sunday, November 24, 2024
6:29PM - 6:42PM
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J15.00004: Gaussian-process-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibility
Carlos Gonzalez Hernandez, Radek Tezaur, Charbel Farhat
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Sunday, November 24, 2024
6:42PM - 6:55PM
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J15.00005: Frequency-domain nonlinear model reduction using SPOD modes
Peter Keaton Frame, Aaron Towne
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