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Nonlinear Dynamics: Model Reduction & Turbulence IV

ORAL · M31 · ID: 22883

Presentations

  • Development of closures for coarse-scale modeling of multiphase and free surface flows using machine learning.

    ORAL

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    Presenters

    • Cristina P Martin Linares

      Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University

    Authors

    • Cristina P Martin Linares

      Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University

    • Tom Bertalan

      Department of Mechanical Engineering, Massachusetts Institute of Technology

    • Eleni Koronaki

      Department of Engineering, Faculty of Science, Technology and Medicine, Université du Luxembourg

    • Jiacai Lu

      Johns Hopkins University, Johns Hopkins University Department of Mechanical Engineering, Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University

    • Gretar Tryggvason

      Johns Hopkins University, Johns Hopkins, Department of Mechanical Engineering, Whiting School of Engineering, Johns Hopkins University

    • Ioannis G Kevrekidis

      Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University

    View abstract →

  • Analyses of the Differentiable-programming Paradigm for Learning Physics-constrained Surrogate Models

    ORAL

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    Presenters

    • Arvind T Mohan

      Los Alamos National Laboratory, Computational Physics and Methods Group, Los Alamos National Laboratory, Los Alamos National Laboratory, Los Alamos, NM, USA

    Authors

    • Divya Sri Praturi

      Chair of Fluid Dynamics, TU Darmstadt

    • Arvind T Mohan

      Los Alamos National Laboratory, Computational Physics and Methods Group, Los Alamos National Laboratory, Los Alamos National Laboratory, Los Alamos, NM, USA

    View abstract →

  • Frequency-time analysis of turbulent flows using spectral POD

    ORAL

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    Publication: A. Nekkanti, and O. T. Schmidt. "Frequency-time analysis, low-rank reconstruction and denoising of turbulent flows using SPOD." arXiv preprint arXiv:2011.03644 (2020).

    Presenters

    • Akhil Nekkanti

      University of California San Diego, University of California, San Diego

    Authors

    • Akhil Nekkanti

      University of California San Diego, University of California, San Diego

    • Oliver T. T Schmidt

      Mechanical and Aerospace Engineering, University of California, San Diego, University of California, San Diego, University of California San Diego, UC San Diego

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  • Data-driven coarse graining of many-body systems

    ORAL

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    Presenters

    • Zachary G Nicolaou

      University of Washington

    Authors

    • Zachary G Nicolaou

      University of Washington

    • Matthew Kafker

      University of Washington

    • Steven L Brunton

      University of Washington, University of Washington, Seattle

    • Nathan Kutz

      University of Washington, Seattle, University of Washington

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  • Optimizing oblique projections for nonlinear systems using trajectories

    ORAL

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    Publication: Otto, Samuel E., Alberto Padovan, and Clarence W. Rowley. "Optimizing Oblique Projections for Nonlinear Systems using Trajectories." arXiv preprint arXiv:2106.01211 (2021).

    Presenters

    • Samuel E Otto

      Princeton University

    Authors

    • Samuel E Otto

      Princeton University

    • Alberto Padovan

      Princeton University

    • Clarence W Rowley

      Princeton University, Princeton

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  • Physics-guided machine learning for surrogate modeling in fluid mechanics

    ORAL

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    Publication: 1. Pawar, Suraj, et al. "Physics guided machine learning using simplified theories." Physics of Fluids 33.1 (2021): 011701.<br>2. Pawar, Suraj, et al. "Model fusion with physics-guided machine learning: Projection-based reduced-order modeling." Physics of Fluids 33.6 (2021): 067123.

    Presenters

    • Suraj A Pawar

      Oklahoma State University-Stillwater

    Authors

    • Suraj A Pawar

      Oklahoma State University-Stillwater

    • Omer San

      Oklahoma State University-Stillwater, Oklahoma State University

    • Adil Rasheed

      Norwegian University of Science and Technology

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  • Promoting global stability in data-driven models of quadratic nonlinear dynamics

    ORAL

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    Publication: https://arxiv.org/abs/2105.01843

    Presenters

    • Alan Kaptanoglu

      University of Washington

    Authors

    • Alan Kaptanoglu

      University of Washington

    • Jared Callaham

      University of Washington

    • Christopher J Hansen

      University of Washington

    • Aleksandr Aravkin

      University of Washington

    • Steven L Brunton

      University of Washington, University of Washington, Seattle

    View abstract →