Low-Order Modeling and Machine Learning for Turbulence II

Presentations

• Applying and optimizing Gene Expression Programming (GEP) applied to URANS modelling of cloud cavitating flows

  ORAL

  Nov. 21, 2023, 12:50 PM – Nov. 21, 2023, 1:03 PM

  Presenters

  • Dhruv G Apte

    • Kevin T. Crofton Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA 24060, USA

  Authors

  • Dhruv G Apte

    • Kevin T. Crofton Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA 24060, USA

  • Nassim Razaaly

    • Institut Pprime, ISAE-ENSMA, 86360 Chasseneuil-du-Poitou, France

  • Mingming Ge

    • Macao Environmental Research Institute,Macau University,, Macao SAR 999078, China

  • Olivier Coutier-Delgosha

    • Kevin T. Crofton Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA 24060, USA
    • Virginia Tech
    • Graduate Advisor

  • Richard Sandberg

    • Department of Mechanical Engineering, University of Melbourne, Australia

  View abstract →

• Synthetic Lagrangian Turbulence by Generative Diffusion Models

  ORAL

  Nov. 21, 2023, 1:03 PM – Nov. 21, 2023, 1:16 PM

  Publication: [1] Synthetic Lagrangian Turbulence by Generative Diffusion Models. Tianyi Li, Luca Biferale, Fabio Bonaccorso, Martino Andrea Scarpolini and Michele Buzzicotti. arXiv:2307.08529

  Presenters

  • Luca Biferale

    • University of Roma Tor Vergata
    • University of Rome Tor Vergata & INFN

  Authors

  • Luca Biferale

    • University of Roma Tor Vergata
    • University of Rome Tor Vergata & INFN

  • Tianyi Li

    • University of Rome Tor Vergata

  • Michele Buzzicotti

    • University of Roma Tor Vergata & INFN

  • Fabio Bonaccorso

    • University of Rome Tor Vergata
    • University of Rome, "Tor Vergata"

  • Martino Scarpolini

    • University of Rome Tor Vergata and Fondazione Toscana G. Monasterio

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• A dynamic recursive neural-network-based subgrid-scale model for large eddy simulation

  ORAL

  Nov. 21, 2023, 1:16 PM – Nov. 21, 2023, 1:29 PM

  Presenters

  • Chonghyuk Cho

    • Seoul Natl Univ

  Authors

  • Chonghyuk Cho

    • Seoul Natl Univ

  • Haecheon Choi

    • Seoul Natl Univ

  View abstract →

• Physics-guided deep learning for reconstructing small-scale structures in turbulent flows

  ORAL

  Nov. 21, 2023, 1:29 PM – Nov. 21, 2023, 1:42 PM

  Presenters

  • Priyabrat Dash

    • Indian Institute of Science, Bangalore

  Authors

  • Priyabrat Dash

    • Indian Institute of Science, Bangalore

  • Konduri Aditya

    • Indian Institute of Science, Bangalore

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• Large eddy simulation of flow over a circular cylinder using a neural-network-based subgrid-scale model and its application to complex turbulent flows.

  ORAL

  Nov. 21, 2023, 1:42 PM – Nov. 21, 2023, 1:55 PM

  Presenters

  • Myunghwa Kim

    • Seoul Natl Univ

  Authors

  • Myunghwa Kim

    • Seoul Natl Univ

  • Haecheon Choi

    • Seoul Natl Univ

  View abstract →

• Multi-agent reinforcement learning for subgrid-scale modeling of environmental turbulence

  ORAL

  Nov. 21, 2023, 1:55 PM – Nov. 21, 2023, 2:08 PM

  Presenters

  • Rambod Mojgani

    • Rice University

  Authors

  • Rambod Mojgani

    • Rice University

  • Daniel Wälchli

    • ETHZ

  • Yifei Guan

    • Rice University

  • Petros Koumoutsakos

    • Harvard University

  • Pedram Hassanzadeh

    • Rice University

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• Wall Modeling in LES of Turbulent Flows Using Reinforcement Learning

  ORAL

  Nov. 21, 2023, 2:08 PM – Nov. 21, 2023, 2:21 PM

  Publication: Bae, H. J., & Koumoutsakos, P. (2022). Scientific multi-agent reinforcement learning for wall-models of turbulent flows. Nature Communications, 13(1), 1443.
  Vadrot, A., Yang, X. I., & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), 064603.
  Vadrot, A., Yang, X. I., Bae, H. J., & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5).

  Presenters

  • Aurélien Vadrot

    • Aarhus University

  Authors

  • Aurélien Vadrot

    • Aarhus University

  • Xiang Yang

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

  • Jane Bae

    • Caltech
    • California Institute of Technology
    • Graduate Aerospace Laboratories, California Institute of Technology

  • Mahdi Abkar

    • Aarhus University

  View abstract →

• A Two Neural Network Subgrid Stress Model for Large Eddy Simulation

  ORAL

  Nov. 21, 2023, 2:21 PM – Nov. 21, 2023, 2:34 PM

  Publication: AIAA Scitech 2024 (extended abstract submitted)
  Physical Review of Fluids paper planned

  Presenters

  • Andy Wu

    • Stanford University

  Authors

  • Andy Wu

    • Stanford University

  • Sanjiva K Lele

    • Stanford University

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• Uncertainty quantification of a refrigeration pool utilizing k-epsilon turbulence reduced order model

  ORAL

  Nov. 21, 2023, 2:34 PM – Nov. 21, 2023, 2:47 PM

  Presenters

  • Jorge Yanez

    • KIT - Karlsruhe Institute of Technology

  Authors

  • Jorge Yanez

    • KIT - Karlsruhe Institute of Technology

  • Andreas G Class

    • KIT - Karlsruhe Institute of Technology

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• Abstract Withdrawn

  ORAL · Withdrawn

  Nov. 21, 2023, 2:47 PM – Nov. 21, 2023, 3:00 PM

  View abstract →