Focus Session: Recent Advances in Data-driven and Machine Learning Methods for Turbulent Flows II

Presentations

• Embedded Tensor Basis Neural Network for RANS Simulation of 3D Flows

  ORAL

  Nov. 24, 2019, 3:48 PM – Nov. 24, 2019, 4:01 PM

  Authors

  • Andrew J. Banko

    • Stanford University

  • David S. Ching

    • Stanford University

  • John Eaton

    • Stanford University

  View abstract →

• Tensor Basis Neural Networks for Turbulent Scalar Flux Modeling

  ORAL

  Nov. 24, 2019, 4:01 PM – Nov. 24, 2019, 4:14 PM

  Authors

  • Pedro M. Milani

    • Stanford University

  • Julia Ling

    • Citrine Informatics

  • John Eaton

    • Stanford University

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• CFD-ready Turbulence Models from Gene Expression Programming: Concepts

  ORAL

  Nov. 24, 2019, 4:14 PM – Nov. 24, 2019, 4:27 PM

  Authors

  • Yaomin Zhao

    • The University of Melbourne

  • Harshal D. Akolekar

    • The University of Melbourne

  • Richard Sandberg

    • The University of Melbourne
    • University of Melbourne

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• CFD-ready Turbulence Models from Gene Expression Programming: Unsteady Flows

  ORAL

  Nov. 24, 2019, 4:27 PM – Nov. 24, 2019, 4:40 PM

  Authors

  • Chitrarth Lav

    • University of Melbourne

  • Jimmy Philip

    • University of Melbourne
    • The University of Melbourne

  • Richard Sandberg

    • The University of Melbourne
    • University of Melbourne

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• Non-local, frame-independent data-driven turbulence modeling by using deep neural networks

  ORAL

  Nov. 24, 2019, 4:40 PM – Nov. 24, 2019, 4:53 PM

  Authors

  • Muhammad Irfan Zafar

    • Virginia Tech

  • Jiequn Han

    • Princeton University

  • Heng Xiao

    • Virginia Tech

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• LES of turbulent channel flow using an artificial neural network

  ORAL

  Nov. 24, 2019, 4:53 PM – Nov. 24, 2019, 5:06 PM

  Authors

  • Jonghwan Park

    • Seoul National University

  • Haecheon Choi

    • Seoul National University

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• Deep learning based sub-grid scale closure for LES of Kraichnan turbulence

  ORAL

  Nov. 24, 2019, 5:06 PM – Nov. 24, 2019, 5:19 PM

  Authors

  • Suraj Pawar

    • School of Mechanical \& Aerospace Engineering, Oklahoma State University, Stillwater, Oklahoma - 74078, USA.

  • Omer San

    • School of Mechanical \& Aerospace Engineering, Oklahoma State University, Stillwater, Oklahoma - 74078, USA.

  • Adil Rasheed

    • Department of Engineering Cybernetics, Norwegian University of Science and Technology, N-7465, Trondheim, Norway.

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• Improving linear embedding of complex nonlinear flow dynamics

  ORAL

  Nov. 24, 2019, 5:19 PM – Nov. 24, 2019, 5:32 PM

  Authors

  • Nikolaus Adams

    • Technical University of Munich

  • Ludger Paehler

    • Technical University of Munich

  View abstract →