Nonlinear Dynamics: General & Chaos

Presentations

• Data-driven discovery of model error in chaotic systems by integrating Bayesian sparse regression and data assimilation

  ORAL

  Nov. 21, 2021, 8:00 AM – Nov. 21, 2021, 8:13 AM

  Presenters

  • Rambod Mojgani

    • Rice University

  Authors

  • Rambod Mojgani

    • Rice University

  • Pedram Hassanzadeh

    • Rice University

  • Ashesh K Chattopadhyay

    • Rice University
    • Rice Univ

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• Reconstructing various regimes of the complex Ginzburg--Landau model from data

  ORAL

  Nov. 21, 2021, 8:13 AM – Nov. 21, 2021, 8:26 AM

  Presenters

  • Sijie Huang

    • Arizona State University

  Authors

  • Sijie Huang

    • Arizona State University

  • Poorbayan Das

    • Arizona State University

  • Jeonglae Kim

    • Arizona State University

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• Unsupervised Learning of Dimensionless Groups and Minimally Parametrized Equations

  ORAL

  Nov. 21, 2021, 8:26 AM – Nov. 21, 2021, 8:39 AM

  Presenters

  • Joseph Bakarji

    • University of Washington

  Authors

  • Joseph Bakarji

    • University of Washington

  • Steven L Brunton

    • University of Washington
    • University of Washington, Seattle

  • Nathan Kutz

    • University of Washington, Seattle
    • University of Washington

  • Jared Callaham

    • University of Washington

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• Robust machine learning of turbulence through generalized Buckingham Pi-inspired pre-processing of training data

  ORAL

  Nov. 21, 2021, 8:39 AM – Nov. 21, 2021, 8:52 AM

  Presenters

  • Kai Fukami

    • University of California, Los Angeles

  Authors

  • Kai Fukami

    • University of California, Los Angeles

  • Kunihiko Taira

    • University of California, Los Angeles
    • UCLA

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• Multi-point penalty-based optimization for optimal control of chaotic turbulent flow

  ORAL

  Nov. 21, 2021, 8:52 AM – Nov. 21, 2021, 9:05 AM

  Presenters

  • Seung Whan Chung

    • University of Illinois at Urbana-Champaign

  Authors

  • Seung Whan Chung

    • University of Illinois at Urbana-Champaign

  • Jonathan B Freund

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

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• Reservoir Computing as a Tool for Climate Predictability Studies

  ORAL

  Nov. 21, 2021, 9:05 AM – Nov. 21, 2021, 9:18 AM

  Publication: Nadiga, B. T. (2021). Reservoir computing as a tool for climate predictability studies. Journal of Advances in Modeling Earth Systems, 13, e2020MS002290. https://doi.org/10.1029/2020MS002290

  Presenters

  • Balu Nadiga

    • Los Alamos Natl Lab

  Authors

  • Balu Nadiga

    • Los Alamos Natl Lab

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• Autoencoded Reservoir Computing for the Spatio-Temporal Prediction of a Turbulent Flow

  ORAL

  Nov. 21, 2021, 9:18 AM – Nov. 21, 2021, 9:31 AM

  Presenters

  • Nguyen Anh Khoa Doan

    • Delft University of Technology

  Authors

  • Nguyen Anh Khoa Doan

    • Delft University of Technology

  • Luca Magri

    • Imperial College London
    • Univ of Cambridge; Imperial College London; The Alan Turing Institute; Institute for Advanced Study.

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• Gradient-free optimization of chaotic acoustics with echo state networks

  ORAL

  Nov. 21, 2021, 9:31 AM – Nov. 21, 2021, 9:44 AM

  Publication: Gradient-free optimization of chaotic acoustics with reservoir computing https://arxiv.org/abs/2106.09780

  Presenters

  • Francisco Huhn

    • University of Cambridge

  Authors

  • Francisco Huhn

    • University of Cambridge

  • Luca Magri

    • Imperial College London

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• The Lorenz 63 model by quantum machine learning

  ORAL

  Nov. 21, 2021, 9:44 AM – Nov. 21, 2021, 9:57 AM

  Presenters

  • Philipp Pfeffer

    • Tech Univ Ilmenau

  Authors

  • Philipp Pfeffer

    • Tech Univ Ilmenau

  • Florian Heyder

    • Tech Univ Ilmenau

  • Joerg Schumacher

    • Tech Univ Ilmenau

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