Nonlinear Dynamics: Koopman and Related Approaches

Presentations

• PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

  ORAL

  Nov. 20, 2022, 8:00 AM – Nov. 20, 2022, 8:13 AM

  Presenters

  • Shaowu Pan

    • Rensselaer Polytechnic Institute

  Authors

  • Shaowu Pan

    • Rensselaer Polytechnic Institute

  • Eurika Kaiser

    • University of Washington

  • Nathan Kutz

    • University of Washington
    • University of Washington, Department of Applied Mathematics
    • UW

  • Steven L Brunton

    • University of Washington
    • University of Washington, Department of Mechanical Engineering

  View abstract →

• A stochastic SPOD-Koopman model for broadband turbulent flows

  ORAL

  Nov. 20, 2022, 8:13 AM – Nov. 20, 2022, 8:26 AM

  Publication: Chu, T. & Schmidt, O. T. A stochastic SPOD-Koopman model for broadband turbulent flows. (In preparation.)

  Presenters

  • Tianyi T Chu

    • UC San Diego
    • University of California, San Diego

  Authors

  • Tianyi T Chu

    • UC San Diego
    • University of California, San Diego

  • Tianyi T Chu

    • UC San Diego
    • University of California, San Diego

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• Data-driven Mori-Zwanzig operators for boundary layer transition

  ORAL

  Nov. 20, 2022, 8:26 AM – Nov. 20, 2022, 8:39 AM

  Presenters

  • Daniel Livescu

    • LANL
    • Los Alamos National Laboratory

  Authors

  • Michael Woodward

    • University of Arizona

  • Yifeng Tian

    • Los Alamos National Laboratory

  • Arvind Mohan

    • Los Alamos National Laboratory

  • Yen Ting Lin

    • Los Alamos National Laboratory
    • LANL

  • Michael Chertkov

    • University of Arizona

  • Daniel Livescu

    • LANL
    • Los Alamos National Laboratory

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• Identification of interscale dynamics and triadic interactions of coherent structures in turbulent wakes

  ORAL

  Nov. 20, 2022, 8:39 AM – Nov. 20, 2022, 8:52 AM

  Presenters

  • Daniel Foti

    • University of Memphis

  Authors

  • Daniel Foti

    • University of Memphis

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• Non-Intrusive Learning of Physics-Informed Spatio-Temporal Surrogate Models for Fluid Flow Prediction

  ORAL

  Nov. 20, 2022, 8:52 AM – Nov. 20, 2022, 9:05 AM

  Publication: 1. S. Mondal and S. Sarkar, "Multi-Fidelity Prediction of Spatio-Temporal Fluid Flow", Physics of Fluids (in press) (2022); https://doi.org/10.1063/5.0099197

  Presenters

  • Sudeepta Mondal

    • Raytheon Technologies Research Center

  Authors

  • Sudeepta Mondal

    • Raytheon Technologies Research Center

  • Soumalya Sarkar

    • Raytheon Technologies Research Center

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• Lagrangian scale decomposition via the graph Fourier transform

  ORAL

  Nov. 20, 2022, 9:05 AM – Nov. 20, 2022, 9:18 AM

  Presenters

  • Theodore MacMillan

    • Stanford University

  Authors

  • Theodore MacMillan

    • Stanford University

  • Nicholas T Ouellette

    • Stanford Univ
    • Stanford University

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• Optimally time-dependent mode analysis of vortex gust-airfoil wake interactions

  ORAL

  Nov. 20, 2022, 9:18 AM – Nov. 20, 2022, 9:31 AM

  Presenters

  • Yonghong Zhong

    • University of California, Los Angeles

  Authors

  • Yonghong Zhong

    • University of California, Los Angeles

  • Alireza Amiri-Margavi

    • University of Pittsburgh

  • Hessam Babaee

    • University of Pittsburgh

  • Kunihiko Taira

    • UCLA
    • University of California, Los Angeles

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• Pseudospectral behavior of the linear operator and its influence on modal amplitudes in the dynamic mode decomposition

  ORAL

  Nov. 20, 2022, 9:31 AM – Nov. 20, 2022, 9:44 AM

  Presenters

  • Het D Patel

    • North Carolina State University

  Authors

  • Het D Patel

    • North Carolina State University

  • Chi-An Yeh

    • North Carolina State University

  View abstract →