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

Presentations

• Machine learning meets mechanism: Mechanism of roll reversal in Rayleigh-B\'enard Convection

  ORAL

  Nov. 25, 2019, 1:45 PM – Nov. 25, 2019, 1:58 PM

  Authors

  • Xi Chen

    • Harvard University

  • Xiaojue Zhu

    • Harvard University

  • Michael Brenner

    • Harvard University
    • Harvard University and Google Research

  View abstract →

• Physics-Informed Echo State Networks for the Prediction of Extreme Events in Turbulent Shear Flows

  ORAL

  Nov. 25, 2019, 1:58 PM – Nov. 25, 2019, 2:11 PM

  Authors

  • Nguyen Anh Khoa Doan

    • Technical University of Munich

  • Wolfgang Polifke

    • Technical University of Munich

  • Luca Magri

    • Department of Engineering, University of Cambridge; Institute for Advanced Study, Technical University of Munich
    • University of Cambridge

  View abstract →

• Data-driven prediction of vortical structures in turbulent flows employing deep learning techniques

  ORAL

  Nov. 25, 2019, 2:11 PM – Nov. 25, 2019, 2:24 PM

  Authors

  • Babak Kashir

    • University of Illinois at Chicago

  • Marco Ragone

    • University of Illinois at Chicago

  • Vitaliy Yurkiv

    • University of Illinois at Chicago

  • Farzad Mashayek

    • University of Illinois at Chicago

  View abstract →

• Flow Characteristics and Noise Performance on Side Mirror Models by 4D PTV and AI-Based Data Assimilation

  ORAL

  Nov. 25, 2019, 2:24 PM – Nov. 25, 2019, 2:37 PM

  Authors

  • Kyung Chun Kim

    • Pusan National University
    • School of Mechanical Engineering, Pusan National University

  • Dong Kim

    • School of Mechanical Engineering, Pusan National University

  • Mirae Kim

    • Pusan National University
    • School of Mechanical Engineering, Pusan National University

  • Edoardo Saredi

    • Department of Aerospace Engineering, Delft University of Technology

  • Fulvio Scarano

    • Department of Aerospace Engineering, Delft University of Technology

  View abstract →

• Deep learning the spanwise-averaged turbulent wake of a circular cylinder

  ORAL

  Nov. 25, 2019, 2:37 PM – Nov. 25, 2019, 2:50 PM

  Authors

  • Bernat Font Garcia

    • Univ of Southampton and Inst of High Performance Computing (A*STAR)

  • Gabriel Weymouth

    • University of Southampton

  • Vinh-Tan Nguyen

    • Institute of High Performance Computing (A*STAR)

  • Owen Tutty

    • University of Southampton

  View abstract →

• Mechanisms of convolutional neural networks for learning three-dimensional unsteady wake flow

  ORAL

  Nov. 25, 2019, 2:50 PM – Nov. 25, 2019, 3:03 PM

  Authors

  • Sangseung Lee

    • Pohang University of Science and Technology

  • Donghyun You

    • Pohang University of Science and Technology

  View abstract →

• Learning effective viscosity for moderate Reynolds number Navier-Stokes equations

  ORAL

  Nov. 25, 2019, 3:03 PM – Nov. 25, 2019, 3:16 PM

  Authors

  • Xiaojue Zhu

    • Harvard University

  • Michael Brenner

    • Harvard University
    • Harvard University and Google Research

  View abstract →