Low-Order Modeling and Machine Learning for Turbulence I

Presentations

• A priori screening of machine-learning turbulence models

  ORAL

  Nov. 19, 2023, 4:35 PM – Nov. 19, 2023, 4:48 PM

  Presenters

  • Peng Chen

    • College of Engineering, SUSTech

  Authors

  • Peng Chen

    • College of Engineering, SUSTech

  • Yuanwei Bin

    • Pennsylvania State University & Peking University
    • Pennsylvania State University

  • Yipeng Shi

    • Peking University

  • Mahdi Abkar

    • Aarhus University

  • George I Park

    • University of Pennsylvania

  • Xiang Yang

    • Pennsylvania State University
    • The Penn State Department of Mechanical Engineering
    • Penn State Department of Mechanical Engineering

  View abstract →

• Data-driven classification of sheared stratified turbulence from experimental shadowgraphs

  ORAL

  Nov. 19, 2023, 4:48 PM – Nov. 19, 2023, 5:01 PM

  Publication: https://arxiv.org/abs/2305.04051
  https://arxiv.org/abs/2305.04048

  Presenters

  • Miles M Couchman

    • Department of Mathematics and Statistics, York University

  Authors

  • Miles M Couchman

    • Department of Mathematics and Statistics, York University

  • Adrien Lefauve

    • DAMTP, University of Cambridge

  View abstract →

• Enhancing Wall-Bounded Turbulence Simulation through Differentiable Neural Wall Modeling

  ORAL

  Nov. 19, 2023, 5:01 PM – Nov. 19, 2023, 5:14 PM

  Presenters

  • Xiantao Fan

    • University of Notre Dame

  Authors

  • Xiantao Fan

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

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• A posteriori learning of closures for geophysical turbulence using ensemble Kalman inversion

  ORAL

  Nov. 19, 2023, 5:14 PM – Nov. 19, 2023, 5:27 PM

  Presenters

  • Yifei Guan

    • Rice University

  Authors

  • Yifei Guan

    • Rice University

  • Pedram Hassanzadeh

    • Rice University

  • Tapio Schneider

    • California Institute of Technology, Pasadena, CA 91125

  • Zhengyu Huang

    • California Institute of Technology, Pasadena, CA 91125

  • Oliver Dunbar

    • California Institute of Technology

  • Ignacio Lopez-Gomez

    • Google research

  • Jinlong Wu

    • University of Wisconsin-Madison
    • University of Wisconsin - Madison
    • University of Wisconsin–Madison

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• Velocity gradient prediction using parameterized Lagrangian deformation models

  ORAL

  Nov. 19, 2023, 5:27 PM – Nov. 19, 2023, 5:40 PM

  Presenters

  • Criston M Hyett

    • The University of Arizona

  Authors

  • Criston M Hyett

    • The University of Arizona

  • Yifeng Tian

    • Los Alamos National Laboratory

  • Mikhail Stepanov

    • The University of Arizona

  • Daniel Livescu

    • LANL

  • Michael Chertkov

    • University of Arizona

  View abstract →

• Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges

  ORAL

  Nov. 19, 2023, 5:40 PM – Nov. 19, 2023, 5:53 PM

  Publication: Jakhar, K., Guan, Y., Mojgani, R., Chattopadhyay, A., Hassanzadeh, P., & Zanna, L. (2023). Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges. arXiv preprint arXiv:2306.05014.

  Presenters

  • Karan Jakhar

    • Rice University

  Authors

  • Karan Jakhar

    • Rice University

  • Yifei Guan

    • Rice University

  • Rambod Mojgani

    • Rice University

  • Ashesh K Chattopadhyay

    • University of California, Santa Cruz

  • Pedram Hassanzadeh

    • Rice University

  • Laura Zanna

    • Courant Institute of Mathematical Sciences

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• Removing the log-layer mismatch in wall-modeled LES using near-wall erroneous flows via physics-informed neural network

  ORAL

  Nov. 19, 2023, 5:53 PM – Nov. 19, 2023, 6:06 PM

  Presenters

  • Soju Maejima

    • Tohoku University

  Authors

  • Soju Maejima

    • Tohoku University

  • Soshi Kawai

    • Tohoku Univ
    • Tohoku University

  View abstract →

• Resolvent analysis of turbulent flows over progressive surface waves

  ORAL

  Nov. 19, 2023, 6:06 PM – Nov. 19, 2023, 6:19 PM

  Presenters

  • Ziyan Ren

    • University of Minnesota

  Authors

  • Ziyan Ren

    • University of Minnesota

  • Anqing Xuan

    • University of Minnesota

  • Lian Shen

    • University of Minnesota

  View abstract →

• Convective parametrization of dry atmospheric boundary layer by generative machine learning model

  ORAL

  Nov. 19, 2023, 6:19 PM – Nov. 19, 2023, 6:32 PM

  Presenters

  • Joerg Schumacher

    • Technische Universität Ilmenau
    • TU Ilmenau

  Authors

  • Joerg Schumacher

    • Technische Universität Ilmenau
    • TU Ilmenau

  • Florian Heyder

    • Tech Univ Ilmenau

  • Juan Pedro Mellado

    • University of Hamburg

  View abstract →