Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods I

Presentations

• Weak Dominant Balance: A robust method for identifying structure in more complex fluid flows

  ORAL

  Nov. 23, 2025, 8:00 AM – Nov. 23, 2025, 8:13 AM

  Presenters

  • Samuel Ahnert

    University of Washington

  Authors

  • Samuel Ahnert

    University of Washington

  • Esther Lagemann

    AI Institute in Dynamic Systems, University of Washington

  • H. Jane Bae

    California Institute of Technology, Caltech

  • Ricardo Vinuesa

    University of Michigan, KTH Royal Institute of Technology

  • Christian Lagemann

    University of Washington

  • Steven L Brunton

    University of Washington

  View abstract →

• Adaptive Low-Rank Tensor Manifolds for Time-Resolved Velocimetry (1): The Algorithm

  ORAL

  Nov. 23, 2025, 8:13 AM – Nov. 23, 2025, 8:26 AM

  Presenters

  • Hessam Babaee

    University of Pittsburgh

  Authors

  • Hessam Babaee

    University of Pittsburgh

  • Nazmus Sakib

    University of Pittsburgh

  View abstract →

• Explainable Data-Driven RANS Closures for Turbulence Modeling

  ORAL

  Nov. 23, 2025, 8:26 AM – Nov. 23, 2025, 8:39 AM

  Publication: We are preparing this work as a manuscript to submit it to the journal.

  Presenters

  • Uma Balakrishnan

    Sandia National Laboratories

  Authors

  • Uma Balakrishnan

    Sandia National Laboratories

  • William Jackson Rider

    Sandia National Laboratories

  • Eric Parish

    Sandia National Lab

  • Matthew Barone

    Sandia National Laboratories

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• Prediction of subgrid interfacial area in two-phase turbulent flows using convolutional neural network-based architectures

  ORAL

  Nov. 23, 2025, 8:39 AM – Nov. 23, 2025, 8:52 AM

  Presenters

  • Anirban Bhattacharjee

    Georgia Institute of Technology

  Authors

  • Anirban Bhattacharjee

    Georgia Institute of Technology

  • Luis H Hatashita

    Georgia Institute of Technology

  • Suhas S Jain

    Georgia Institute of Technology, Georgia Institute of Technology, Flow Physics and Computational Sciences Lab

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• Neural operator-enabled closure for stochastically forced Burgers' equation.

  ORAL

  Nov. 23, 2025, 8:52 AM – Nov. 23, 2025, 9:05 AM

  Presenters

  • Sotiris Catsoulis

    California Institute of Technology

  Authors

  • Sotiris Catsoulis

    California Institute of Technology

  • George Stepaniants

    California Institute of Technology

  • Andrew Stuart

    Caltech

  • Tim Colonius

    California Institute of Technology

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• oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation

  ORAL

  Nov. 23, 2025, 9:05 AM – Nov. 23, 2025, 9:18 AM

  Publication: Planned paper: oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation

  Presenters

  • Daniel Dehtyriov

    University of Oxford

  Authors

  • Daniel Dehtyriov

    University of Oxford

  • Jonathan F MacArt

    University of Notre Dame

  • Justin Sirignano

    University of Oxford

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• Adaptive Low-Rank Tensor Manifolds for Time-Resolved Velocimetry (2): Validation using DNS and Experimental Data

  ORAL

  Nov. 23, 2025, 9:18 AM – Nov. 23, 2025, 9:31 AM

  Presenters

  • Nazmus Sakib

    University of Pittsburgh

  Authors

  • Nazmus Sakib

    University of Pittsburgh

  • James T Wiswall

    Naval Nuclear Laboratory

  • Alexander G Mychkovsky

    Naval Nuclear Laboratory

  • Hessam Babaee

    University of Pittsburgh

  View abstract →