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

  View abstract →

• 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

  View abstract →

• 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.<br>Vadrot, A., Yang, X. I., & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), 064603.<br>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)<br>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

  View abstract →

• Abstract Withdrawn

  ORAL Withdrawn

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

  View abstract →