Interact: Machine Learning for Fluid Mechanics

Presentations

• Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Generative Models

  ORAL

  Nov. 23, 2025, 10:31 AM – Nov. 23, 2025, 10:32 AM

  Publication: Dong, X., Yang, H., & Wu, J. L. (2025). Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models. arXiv preprint arXiv:2506.20771.

  Presenters

  • Xinghao Dong

    University of Wisconsin - Madison

  Authors

  • Xinghao Dong

    University of Wisconsin - Madison

  • Huchen Yang

    University of Wisconsin - Madison

  • Jinlong Wu

    University of Wisconsin - Madison

  View abstract →

• Extracting time-varying causal modes of aerodynamic flows with information-theoretic machine learning

  ORAL

  Nov. 23, 2025, 10:32 AM – Nov. 23, 2025, 10:33 AM

  Publication: Fukami, K., & Araki, R. (2025). Information-theoretic machine learning for time-varying mode decomposition of separated aerodynamic flows. AIAA Journal.

  Presenters

  • Kai Fukami

    Tohoku University

  Authors

  • Kai Fukami

    Tohoku University

  • Ryo Araki

    Tokyo University of Science

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• Space-time model reduction using SPOD modes

  ORAL

  Nov. 23, 2025, 10:33 AM – Nov. 23, 2025, 10:34 AM

  Publication: Space-time model reduction in the frequency domain, Frame and Towne, arXiv, 2024<br>Linear model reduction using SPOD modes, Frame, Lin, Schmidt, Towne, arXiv 2024

  Presenters

  • Peter Keaton Frame

    University of Michigan

  Authors

  • Peter Keaton Frame

    University of Michigan

  • Aaron S. Towne

    University of Michigan

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• Tensor Train-based cross interpolation method for solving high-dimensional PDF transport equation of turbulent flows

  ORAL

  Nov. 23, 2025, 10:34 AM – Nov. 23, 2025, 10:35 AM

  Presenters

  • Behzad Ghahremani

    University of Pittsburgh

  Authors

  • Behzad Ghahremani

    University of Pittsburgh

  • Peyman Givi

    University of Pittsburgh

  • Hessam Babaee

    University of Pittsburgh

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• No more adjoints: Calibrating chaotic dynamical systems with weak-form learning

  ORAL

  Nov. 23, 2025, 10:35 AM – Nov. 23, 2025, 10:36 AM

  Presenters

  • Romit Maulik

    The Pennsylvania State University, Argonne National Laboratory

  Authors

  • Xuyang Li

    The Pennsylvania State University

  • John Harlim

    The Pennsylvania State University

  • Romit Maulik

    The Pennsylvania State University, Argonne National Laboratory

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• Super-resolution of turbulence with a 4DVar training algorithm

  ORAL

  Nov. 23, 2025, 10:36 AM – Nov. 23, 2025, 10:37 AM

  Publication: Page, J. "Super-resolution of turbulence with dynamics in the loss", Journal of Fluid Mechanics 1002, R3 (2025)<br>Scherer, M. & Linkmann, M. & Page, J. "State estimation with a combination of 4DVar and super-resolution in body-forced turbulence" (in preparation -- working title)

  Presenters

  • Jacob Page

    University of Edinburgh

  Authors

  • Jacob Page

    University of Edinburgh

  • Markus Weyrauch

    Karlsruhe Institute of Technology

  • Moritz F Linkmann

    University of Edinburgh

  View abstract →

• Field Inversion Machine Learning for Predicting Time-Resolved Unsteady Flows in Dynamic Stall

  ORAL

  Nov. 23, 2025, 10:37 AM – Nov. 23, 2025, 10:38 AM

  Presenters

  • Ping He

    Iowa State University

  Authors

  • Ping He

    Iowa State University

  • Zilong Li

    Iowa State University

  • Lean Fang

    Iowa State University

  • Anupam Sharma

    Iowa State University

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• The role of the law of the wall in enabling generalization of data-driven turbulence models

  ORAL

  Nov. 23, 2025, 10:38 AM – Nov. 23, 2025, 10:39 AM

  Presenters

  • Jiaqi Li

    Pennsylvania State University

  Authors

  • Jiaqi Li

    Pennsylvania State University

  • Xiang I. A. Yang

    Pennsylvania State University

  • Robert F Kunz

    Pennsylvania State University

  • George P Huang

    Wright State University

  View abstract →

• Non-Linear Super-Stencils for RANS turbulence model corrections

  ORAL

  Nov. 23, 2025, 10:39 AM – Nov. 23, 2025, 10:40 AM

  Publication: https://doi.org/10.1038/s42005-025-02149-3

  Presenters

  • Jonas Luther

    Eth Zurich

  Authors

  • Jonas Luther

    Eth Zurich

  • Patrick Jenny

    ETH Zurich

  View abstract →

• Equivariant Machine Learning of Sub-Grid Scale Closure Models for Large Eddy Simulation

  ORAL

  Nov. 23, 2025, 10:40 AM – Nov. 23, 2025, 10:41 AM

  Presenters

  • Ryley McConkey

    Massachusetts Institute of Technology

  Authors

  • Ryley McConkey

    Massachusetts Institute of Technology

  • Julia Balla

    Massachusetts Institute of Technology

  • Elyssa F Hofgard

    Massachusetts Institute of Technology

  • Tess E Smidt

    Massachusetts Institute of Technology

  View abstract →

• FIRST INTERACT DISCUSSION WITH POSTERS

  COFFEE_KLATCH

  Nov. 23, 2025, 10:41 AM – Nov. 23, 2025, 11:31 AM

  View abstract →

• Symmetry-aware Reynolds-averaged turbulence modeling with equivariant neural networks

  ORAL

  Nov. 23, 2025, 11:31 AM – Nov. 23, 2025, 11:32 AM

  Publication: A planned paper is currently in the final stages of preparation.

  Presenters

  • Aaron Miller

    Harvard University

  Authors

  • Aaron Miller

    Harvard University

  • Sahil Kommalapati

    University of Texas at Austin

  • Robert D Moser

    University of Texas at Austin

  • Petros Koumoutsakos

    Harvard University

  View abstract →

• GenAI meets Turbulence: From Super-resolution to Forecasting and Full Field Reconstruction from Sparse Observations

  ORAL

  Nov. 23, 2025, 11:32 AM – Nov. 23, 2025, 11:33 AM

  Presenters

  • Vivek Oommen

    Brown University

  Authors

  • Vivek Oommen

    Brown University

  • Aniruddha Bora

    Brown University

  • George Em Karniadakis

    Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

  • Siavash Khodakarami

    Brown University, Division of Applied Mathematics, Brown University

  • Zhicheng Wang

    Brown University, Division of Applied Mathematics, Brown University

  View abstract →

• Machine Learning-Assisted Model Blending for Generalizable Turbulence Corrections

  ORAL

  Nov. 23, 2025, 11:33 AM – Nov. 23, 2025, 11:34 AM

  Presenters

  • Mourad Oulghelou

    Sorbonne Universite, Sorbonne University

  Authors

  • Mourad Oulghelou

    Sorbonne Universite, Sorbonne University

  • Paola Cinnella

    Sorbonne Université

  • Xavier Merle

    Ecole Nationale Supérieure d'Arts et Métiers

  View abstract →

• Capturing Low-Wavenumber Near-Wall Structures via Conditional Generative Modeling

  ORAL

  Nov. 23, 2025, 11:34 AM – Nov. 23, 2025, 11:35 AM

  Publication: M H Parikh, X. Fan, J.-X. Wang, Conditional flow matching for generative modeling of near-wall turbulence with quantified uncertainty, Under review, JFM

  Presenters

  • Meet H Parikh

    Cornell University

  Authors

  • Meet H Parikh

    Cornell University

  • Xiantao Fan

    Cornell University

  • Meng Wang

    University of Notre Dame

  • Jian-Xun Wang

    Cornell University, University of Notre Dame

  View abstract →

• Reynolds Number Effects in Data-driven Learning of Mori-Zwanzig Memory Operators for Lagrangian Particle Dynamics

  ORAL

  Nov. 23, 2025, 11:35 AM – Nov. 23, 2025, 11:36 AM

  Presenters

  • Rohini Uma-Vaideswaran

    Georgia Institute of Technology

  Authors

  • Rohini Uma-Vaideswaran

    Georgia Institute of Technology

  • Xander M de Wit

    Eindhoven University of Technology

  • Michael Woodward

    Los Alamos National Laboratory (LANL)

  • Alessandro Gabbana

    Los Alamos National Laboratory (LANL)

  • André Freitas

    Dept. Physics and INFN, University of Rome "Tor Vergata", Information Processing and Communications Laboratory, Télécom Paris, IP Paris

  • Pui-Kuen Yeung

    Georgia Institute of Technology

  • Daniel Livescu

    Los Alamos National Laboratory (LANL)

  View abstract →

• Generative modeling for closure and linearized stability of chaotic dynamical systems

  ORAL

  Nov. 23, 2025, 11:36 AM – Nov. 23, 2025, 11:37 AM

  Publication: Williams, E., and Darmofal, D., "Stochastic generative methods for stable and accurate closure modeling of chaotic dynamical systems", arXiv:2504.09750, April 2025.

  Presenters

  • Emily Williams

    Massachusetts Institute of Technology

  Authors

  • Emily Williams

    Massachusetts Institute of Technology

  • David Darmofal

    Massachusetts Institute of Technology

  View abstract →

• Large Language Model Driven Development of Turbulence Models

  ORAL

  Nov. 23, 2025, 11:37 AM – Nov. 23, 2025, 11:38 AM

  Publication: Large Language Model Driven Development of Turbulence Models DOI: 10.48550/arXiv.2505.01681

  Presenters

  • Zhongxin Yang

    Peking University

  Authors

  • Zhongxin Yang

    Peking University

  • Yuanwei Bin

    Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, 315200, Zhejiang, China

  • Yipeng Shi

    Peking University

  • Xiang I. A. Yang

    Pennsylvania State University

  View abstract →

• HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

  ORAL

  Nov. 23, 2025, 11:38 AM – Nov. 23, 2025, 11:39 AM

  Presenters

  • Steven L Brunton

    University of Washington

  Authors

  • Christian Lagemann

    University of Washington

  • Jared Callaham

    University of Washington

  • Ludger Paehler

    Tech Univ Muenchen

  • Sajeda Mokbel

    University of Washington

  • Samuel Ahnert

    University of Washington

  • Kai Lagemann

    Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

  • Miro Gondrum

    RWTH Aachen

  • Mario Ruettgers

    Pohang Univ of Sci & Tech

  • Matthias Meinke

    Institue of Aerodynamics and Chair of Fluid Mechanics, RWTH Aachen University

  • Nikolaus A Adams

    Tech Univ Muenchen

  • Esther Lagemann

    AI Institute in Dynamic Systems, University of Washington

  • Steven L Brunton

    University of Washington

  View abstract →

• Reinforcement Learning for Collaborative Wind Farm Control and Power Optimization

  ORAL

  Nov. 23, 2025, 11:39 AM – Nov. 23, 2025, 11:40 AM

  Publication: Mole, A., Weissenbacher, M., Rigas, G., & Laizet, S. (2025). Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control. arXiv preprint arXiv:2506.20554.

  Presenters

  • Sylvain Laizet

    Imperial College London

  Authors

  • Sylvain Laizet

    Imperial College London

  • Andrew Mole

    Imperial College London

  • Max Weissenbacher

    Imperial College London

  • Georgios Rigas

    Imperial College London

  View abstract →

• SECOND INTERACT DISCUSSION WITH POSTERS

  COFFEE_KLATCH

  Nov. 23, 2025, 11:40 AM – Nov. 23, 2025, 12:31 PM

  View abstract →