77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024;
Salt Lake City, Utah
Session Index
Session L12: Low-Order Modeling and Machine Learning in Fluid Dynamics: General II
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Show Abstracts |
Chair: Amirhossein Arzani, University of Utah
Room: 155 B
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Monday, November 25, 2024
8:00AM - 8:13AM
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L12.00001: Latent Diffusion Models for Partial Differential Equations Modeling
Anthony Zhou, Amir Barati farimani
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Monday, November 25, 2024
8:13AM - 8:26AM
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L12.00002: Pretraining a Neural Operator in Lower Dimensions
AmirPouya Hemmasian, Amir Barati farimani
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Monday, November 25, 2024
8:26AM - 8:39AM
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L12.00003: A Multi-Modal Implicit Neural Representation Method for Dimension Reduction of Spatiotemporal Flow Data
Pan Du, Jian-Xun Wang
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Monday, November 25, 2024
8:39AM - 8:52AM
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L12.00004: Physics-Constrained Coupled Neural Differential Equations: Application to 1D Blood Flow Modeling
Hunor Csala, Arvind T Mohan, Daniel Livescu, Amirhossein Arzani
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Monday, November 25, 2024
8:52AM - 9:05AM
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L12.00005: Machine Learning-Driven Inverse Fluid-Structure Interaction (FSI) Simulations of the Heart
Hossein Geshani, Iman Borazjani
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Monday, November 25, 2024
9:05AM - 9:18AM
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L12.00006: Diff-FlowFSI: A GPU-accelerated, JAX-based Differentiable CFD Solver for Turbulent Flow and Fluid-Structure Interactions
Xiantao Fan, Xinyang Liu, Meng Wang, Jian-Xun Wang
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Monday, November 25, 2024
9:18AM - 9:31AM
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L12.00007: Box model for colliding turbidity currents via equation discovery methods
Nathan Willis, Francois Blanchette, Conor Olive
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Monday, November 25, 2024
9:31AM - 9:44AM
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L12.00008: Abstract Withdrawn
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Monday, November 25, 2024
9:44AM - 9:57AM
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L12.00009: Real-time prediction of turbulent flow using physics-informed neural networks with coarse spatiotemporal data
Jinhyeok Yun, Seongbeom Park, Dowon Kim
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Monday, November 25, 2024
9:57AM - 10:10AM
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L12.00010: Conjugate Gradient Greedy Identification of Latent Dynamics from Parametric Flow Data.
Rama AYOUB, Mourad Oulghelou, Peter J Schmid
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