Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods VII
ORAL · U11 · ID: 3583447
Presentations
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Dimensional dependence of synchronisation in turbulence: insights from data assimilation and Lyapunov analysis
ORAL
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Publication: Dimensional dependence of synchronisation in turbulence: insights from data assimilation and Lyapunov analysis by M. Inubushi and C. P. Caulfield
Presenters
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Masanobu Inubushi
Tokyo University of Science
Authors
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Masanobu Inubushi
Tokyo University of Science
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Colm-Cille P Caulfield
Univ of Cambridge
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Nonlinear extensions to operator-based causality analysis
ORAL
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Presenters
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Victor Jimenez
Illinois Institute of Technology
Authors
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Victor Jimenez
Illinois Institute of Technology
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Ankit Srivastava
Illinois Institute of Technology
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Louis Nicholas Cattafesta
Illinois Institute of Technology
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Scott T. M. Dawson
Illinois Institute of Technology
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A fast, versatile tool for turbulent flow with complex surface behaviors: an immersed boundary-enriched resolvent framework
ORAL
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Presenters
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Elyse Jones
University of Illinois at Urbana Champaign
Authors
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Elyse Jones
University of Illinois at Urbana Champaign
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Zoey Flynn
University of Illinois at Urbana-Champaign
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H. Jane Bae
California Institute of Technology, Caltech
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Andres Goza
University of Illinois at Urbana-Champaign
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Wall Pressure–Velocity Correlations in Turbulent Boundary Layers with Varying Pressure Gradients via a Data-Driven Analysis.
ORAL
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Presenters
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Yi Liu
Cornell University, University of Notre Dame
Authors
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Yi Liu
Cornell University, University of Notre Dame
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Xiantao Fan
Cornell University
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Meng Wang
University of Notre Dame
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Jian-Xun Wang
Cornell University, University of Notre Dame
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Towards a scalable ML-accelerated space-time multigrid solver for nonlinear equations
ORAL
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Presenters
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Saba Mansour
Cornell University
Authors
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Saba Mansour
Cornell University
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Samuel E Otto
Cornell University
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Deep Learning for Fast Flow Field Predictions in Urban Canopies
ORAL
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Presenters
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Themistoklis Vargiemezis
Stanford University
Authors
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Themistoklis Vargiemezis
Stanford University
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Akshay Patil
Delft University of Technology
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Clara García-Sánchez
Delft University of Technology
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Catherine Gorle
Stanford University
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Forecasting the evolution of three-dimensional turbulent recirculating flows from sparse sensor data
ORAL
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Publication: Preprint https://doi.org/10.48550/arXiv.2505.05955<br>
Presenters
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George Papadakis
Imperial College London
Authors
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George Papadakis
Imperial College London
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Shengqi Lu
Dept. of Aeronautics, Imperial College London
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Interpreting and Modeling Surface Roughness Effects via Drag-Augmented Manifold Learning
ORAL
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Presenters
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Heesoo Shin
Pohang Univ of Sci & Tech
Authors
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Heesoo Shin
Pohang Univ of Sci & Tech
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Kai Fukami
Tohoku University
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Sangseung Lee
Inha University
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Donghyun You
Pohang Univ of Sci & Tech
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Shervin Bagheri
KTH Royal Institute of Technology
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Data-driven discovery of free energy function through functional derivatives
ORAL
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Publication: The manuscript is planned to be submitted to a journal, and the preprint will be uploaded to arXiv.
Presenters
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Suguru Shiratori
Dept. Mechanical Systems Engineering, Tokyo City University, Japan & Devision of Applied Mathematics, Brown University
Authors
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Suguru Shiratori
Dept. Mechanical Systems Engineering, Tokyo City University, Japan & Devision of Applied Mathematics, Brown University
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Elham Kiyani
Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA
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Khemraj Shukla
Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University
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George Em Karniadakis
Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University
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Interpretable Diffusion Models for Turbulent Flows via Information-Theoretic Interventions
ORAL
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Presenters
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Jackson P R Torok
Florida State University
Authors
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Jackson P R Torok
Florida State University
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Huixuan Wu
Florida State University
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Spatio-Temporal Causality for Turbulence via Attention Learning
ORAL
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Presenters
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Timur Uyumaz
California Institute of Technology
Authors
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Timur Uyumaz
California Institute of Technology
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Adrian Lozano-Duran
Massachusetts Institute of Technology; California Instituite of Technology, Massachusetts Institute of Technology
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