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Nonlinear Dynamics: Model Reduction & Turbulence I

ORAL · E31 · ID: 22879

Presentations

  • Troubleshooting experiments using machine learning

    ORAL

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    Presenters

    • Roman O Grigoriev

      Georgia Institute of Technology

    Authors

    • Logan Kageorge

      Georgia Institute of Technology

    • Michael F Schatz

      Georgia Institute of Technology

    • Roman O Grigoriev

      Georgia Institute of Technology

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  • Physics-Guided Machine Learning Variational Multiscale Reduced Order Models

    ORAL

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    Publication: Ahmed, S. E., San, O., Rasheed, A., & Iliescu, T. (2020). A long short-term memory embedding for hybrid uplifted reduced order models. Physica D: Nonlinear Phenomena, 409, 132471.<br>Pawar, S., San, O., Nair, A., Rasheed, A., & Kvamsdal, T. (2021). Model fusion with physics-guided machine learning: Projection-based reduced-order modeling. Physics of Fluids, 33(6), 067123.<br>Ahmed, S. E., San, O., Rasheed, A., Veneziani , A. & Iliescu, T. (2021). A Physics-guided machine learning approach for variational multiscale reduced order models. In preparation.

    Presenters

    • Shady E Ahmed

      Oklahoma State University-Stillwater, Oklahoma State University

    Authors

    • Shady E Ahmed

      Oklahoma State University-Stillwater, Oklahoma State University

    • Omer San

      Oklahoma State University-Stillwater, Oklahoma State University

    • Adil Rasheed

      Norwegian University of Science and Technology

    • Alessandro Veneziani

      Emory University

    • Traian Iliescu

      Virginia Tech

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  • Nonlinear Reduced-Order Solutions for PDEs With Conserved Quantities: Applications to Fluid Dynamics

    ORAL

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    Publication: [1] Anderson, W., & Farazmand, M. (2021). Evolution of nonlinear reduced-order solutions for PDEs with conserved quantities. In review. arXiv preprint arXiv:2104.13515.

    Presenters

    • William Anderson

      North Carolina State University

    Authors

    • William Anderson

      North Carolina State University

    • Mohammad M Farazmand

      North Carolina State University

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  • Modal analysis and interface tracking for multiphase flows

    ORAL

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    Presenters

    • Daniel J Bodony

      University of Illinois at Urbana-Champaign, University of Illinois at Urbana-Champai

    Authors

    • Daniel J Bodony

      University of Illinois at Urbana-Champaign, University of Illinois at Urbana-Champai

    • Palash Sashittal

      University of Illinois at Urbana-Champai

    • Robert M Chiodi

      University of Illinois at Urbana-Champaign

    • Timothy B Morgan

      Iowa State University

    • Olivier Desjardins

      Cornell University

    • Theodore J Heindel

      Iowa State University

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  • Dynamic-Mode Decomposition for Aero-Optic Wavefront Characterization

    ORAL

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    Publication: To be posted on arxiv shortly

    Presenters

    • Shervin Sahba

      University of Washington

    Authors

    • Shervin Sahba

      University of Washington

    • Diya Sashidhar

      University of Washington

    • Christopher Wilcox

      US Air Force Research Laboratory

    • Austin McDaniel

      US Air Force Research Laboratory

    • Steven L Brunton

      University of Washington, University of Washington, Seattle

    • Nathan Kutz

      University of Washington, Seattle, University of Washington

    View abstract →