Data-Driven Modeling, Control and Analysis for Fluid Dynamics

Presentations

• The neural network fluid dynamicist: networks in feedback for flow control, sensor placement, and flow physics analysis

  ORAL

  Nov. 19, 2023, 3:00 PM – Nov. 19, 2023, 3:13 PM

  Publication: T. Deda, W. R. Wolf, and S. T. M. Dawson, "Backpropagation of neural network dynamical models applied to flow control," Theoretical and Computational Fluid Dynamics, 37, pp. 35–59, 2023.

  Presenters

  • Scott T Dawson

    • Illinois Institute of Technology

  Authors

  • Scott T Dawson

    • Illinois Institute of Technology

  • Tarcísio C Oliveira

    • UNICAMP-Univ de Campinas

  • William R Wolf

    • University of Campinas

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• Leveraging Bayesian Optimisation for Expensive Experiments and Simulations in Fluid Dynamics with Uncontrollable Dynamic Variables

  ORAL

  Nov. 19, 2023, 3:13 PM – Nov. 19, 2023, 3:26 PM

  Presenters

  • Mike Diessner

    • Newcastle University

  Authors

  • Mike Diessner

    • Newcastle University

  • Joseph O'Connor

    • Imperial College London

  • Andrew Wynn

    • Imperial College London

  • Sylvain Laizet

    • Imperial College London

  • Xiaonan Chen

    • School of Engineering, Newcastle University
    • Newcastle University

  • Kevin Wilson

    • Newcastle University

  • Richard D Whalley

    • Newcastle Uiveristy
    • Newcastle University

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• Phase-oscillator-based modeling and control of multi-modal fluid flows

  ORAL

  Nov. 19, 2023, 3:26 PM – Nov. 19, 2023, 3:39 PM

  Presenters

  • Vedasri Godavarthi

    • University of California, Los Angeles

  Authors

  • Vedasri Godavarthi

    • University of California, Los Angeles

  • Yoji Kawamura

    • Japan Agency for Marine-Earth Science and Technology

  • Kunihiko Taira

    • UCLA
    • University of California, Los Angeles

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• Discovering sparse optimal finite-amplitude perturbations in nonlinear flows

  ORAL

  Nov. 19, 2023, 3:39 PM – Nov. 19, 2023, 3:52 PM

  Presenters

  • A. Leonid Heide

    • University of Minnesota

  Authors

  • A. Leonid Heide

    • University of Minnesota

  • Maziar S Hemati

    • University of Minnesota

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• Data-Driven Sensor Placement for Nuclear Reactor Transient Analyses in Digital Twins

  ORAL

  Nov. 19, 2023, 3:52 PM – Nov. 19, 2023, 4:05 PM

  Presenters

  • Niharika Karnik

    • University of Washington

  Authors

  • Niharika Karnik

    • University of Washington

  • Krithika Manohar

    • University of Washington

  • Mohammad G Abdo

    • Idaho National Laboratory

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