Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods IX
ORAL · Z18 · ID: 3583426
Presentations
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Data-driven sensitivity analysis and model reduction of shear dominant flows using structured linear operators
ORAL
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Presenters
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Aravinth Sadagopan
- Cornell University
Authors
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Aravinth Sadagopan
- Cornell University
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Samuel E Otto
- Cornell University
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Parametric representation and sensitivity analysis of proper-orthogonal-decomposition modes on matrix manifolds
ORAL
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Presenters
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Shintaro Sato
- Tohoku University, Japan
Authors
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Shintaro Sato
- Tohoku University, Japan
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Oliver T Schmidt
- University of California San Diego
- University of California, San Diego
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Data-Driven Forecasting of Turbulent Flows via Space-Time Projection
ORAL
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Publication: arXiv:2503.23686, https://doi.org/10.48550/arXiv.2503.23686
Presenters
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Oliver T Schmidt
- University of California San Diego
- University of California, San Diego
Authors
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Oliver T Schmidt
- University of California San Diego
- University of California, San Diego
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Symmetry-reduced model reduction of shift-equivariant systems via operator inference
ORAL
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Publication: Shuai, Y., & Rowley, C. W. (2025). Symmetry-reduced model reduction of shift-equivariant systems via operator inference. Advances in Computational Mathematics (submitted). arXiv preprint: https://arxiv.org/abs/2507.18780
Presenters
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Yu Shuai
- Princeton University
Authors
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Yu Shuai
- Princeton University
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Clancy W Rowley
- Princeton
- Princeton University
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Optimal Transport Aligned Latent Embeddings for Fluid Flow Analysis
ORAL
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Presenters
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Jonathan Quang Tran
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
Authors
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Jonathan Quang Tran
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
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Chi-An Yeh
- North Carolina State University
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Kunihiko Taira
- University of California, Los Angeles
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Space-time model reduction using Legendre-POD modes
ORAL
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Presenters
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Henry Tukel
- University of Michigan
Authors
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Henry Tukel
- University of Michigan
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Peter Keaton Frame
- University of Michigan
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Aaron S. Towne
- University of Michigan
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Spectral Proper Orthogonal Decomposition with Variable Frequency Binning and Precise Tonal Mode Extraction
ORAL
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Presenters
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Jakob G von Saldern
- California Institute of Technology
Authors
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Jakob G von Saldern
- California Institute of Technology
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Oliver T Schmidt
- University of California San Diego
- University of California, San Diego
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J. Moritz Reumschüssel
- Technische Universität Berlin
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Philipp Godbersen
- German Aerospace Center (DLR)
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Tim Colonius
- California Institute of Technology
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Dynamic Mode Decomposition on Moving Bodies-Moving Processing Window
ORAL
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Presenters
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Ryan Wojtowicz
- Kent State University
Authors
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Xuanhong An
- Kent State University
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Ryan Wojtowicz
- Kent State University
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