77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024;
Salt Lake City, Utah
Session Index
Session T15: Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods V
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Show Abstracts |
Chair: Haithem Taha, University of California, Irvine
Room: 155 E
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Monday, November 25, 2024
4:45PM - 4:58PM
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T15.00001: Deterministic local reduced-order modelling for chaotic flows with cluster-based quantization
Antonio Colanera, Luca Magri
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Monday, November 25, 2024
4:58PM - 5:11PM
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T15.00002: Intrinsic Instabilities and Generalization Challenges in Neural Partial Differential Equations
Arvind T Mohan, Ashesh K Chattopadhyay, Jonah M Miller
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Monday, November 25, 2024
5:11PM - 5:24PM
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T15.00003: Submerged Reduced-Order Models for Incompressible Flow around Obstacles
Jacob W Murri, Clifford E Watkins, James Watts, Sean R Breckling
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Monday, November 25, 2024
5:24PM - 5:37PM
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T15.00004: Data-driven artificial viscosity closures for projection-based reduced order modeling of incompressible fluid flows
Aviral Prakash, Yongjie J Zhang
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Monday, November 25, 2024
5:37PM - 5:50PM
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T15.00005: Flexi-Propagator For Partial Differential Equations
Khalid Rafiq, Wenjing Liao, Aditya G Nair
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Monday, November 25, 2024
5:50PM - 6:03PM
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T15.00006: Bundle embeddings for learning chaotic dynamics from irregularly sampled partial observable data
Charles Douglas Young
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Monday, November 25, 2024
6:03PM - 6:16PM
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T15.00007: Objective Determination of Optimal POD Modes for Large-Scale Motion Reconstruction in Turbulent Flows
Nathan Ziems, Venkatesh Pulletikurthi, Suranga I Dharmarathne
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Monday, November 25, 2024
6:16PM - 6:29PM
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T15.00008: Continuous latent flow modeling for model-based reinforcement learning using temporal transformer networks
Christian Lagemann, Kai Lagemann, Steven L Brunton
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