Nonlinear Dynamics: Model Reduction & Turbulence I

Presentations

• Troubleshooting experiments using machine learning

  ORAL

  Nov. 21, 2021, 2:45 PM – Nov. 21, 2021, 2:58 PM

  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

  Nov. 21, 2021, 2:58 PM – Nov. 21, 2021, 3:11 PM

  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.
  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.
  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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• A hybrid physics-based and data-driven approach with autoencoders: Rayleigh-Benard convection

  ORAL

  Nov. 21, 2021, 3:11 PM – Nov. 21, 2021, 3:24 PM

  Presenters

  • Saeed Akbari

    • Oklahoma State University-Stillwater

  Authors

  • Saeed Akbari

    • Oklahoma State University-Stillwater

  • Suraj A Pawar

    • Oklahoma State University-Stillwater

  • Omer San

    • Oklahoma State University-Stillwater
    • Oklahoma State University

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• On the connection between resolvent analysis and forced optimally time-dependent decomposition

  ORAL

  Nov. 21, 2021, 3:24 PM – Nov. 21, 2021, 3:37 PM

  Presenters

  • Alireza Amiri-Margavi

    • University of Pittsburgh

  Authors

  • Alireza Amiri-Margavi

    • University of Pittsburgh

  • Hessam Babaee

    • University of Pittsburgh

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

  ORAL

  Nov. 21, 2021, 3:37 PM – Nov. 21, 2021, 3:50 PM

  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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• No inverse necessary: a variational formulation of resolvent analysis

  ORAL

  Nov. 21, 2021, 3:50 PM – Nov. 21, 2021, 4:03 PM

  Presenters

  • Benedikt Barthel

    • Caltech

  Authors

  • Benedikt Barthel

    • Caltech

  • Salvador R Gomez

    • Caltech

  • Beverley J McKeon

    • Caltech
    • California Institute of Technology

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• Modal analysis and interface tracking for multiphase flows

  ORAL

  Nov. 21, 2021, 4:03 PM – Nov. 21, 2021, 4:16 PM

  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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• A bi-fidelity framework to compute extreme-event probability

  ORAL

  Nov. 21, 2021, 4:16 PM – Nov. 21, 2021, 4:29 PM

  Presenters

  • Xianliang Gong

    • University of Michigan

  Authors

  • Xianliang Gong

    • University of Michigan

  • Yulin Pan

    • University of Michigan

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• Machine Learning Statistical Evolution of the Coarse-Grained Velocity Gradient Tensor

  ORAL

  Nov. 21, 2021, 4:29 PM – Nov. 21, 2021, 4:42 PM

  Presenters

  • Criston M Hyett

    • University of Arizona
    • The University of Arizona

  Authors

  • Criston M Hyett

    • University of Arizona
    • The University of Arizona

  • Michael Chertkov

    • University of Arizona

  • Yifeng Tian

    • Los Alamos National Laboratory

  • Daniel Livescu

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

  • Mikhail Stepanov

    • University of Arizona

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• Dynamic-Mode Decomposition for Aero-Optic Wavefront Characterization

  ORAL

  Nov. 21, 2021, 4:42 PM – Nov. 21, 2021, 4:55 PM

  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 →