Focus Session: Recent Advances in Data-Driven and Machine Learning Methods for Turbulent Flows IV

Presentations

• Overview on sparsity in fluids

  ORAL

  Nov. 25, 2019, 5:16 PM – Nov. 25, 2019, 5:29 PM

  Authors

  • Zhe Bai

    • Lawrence Berkeley National Laboratory

  • Steven Brunton

    • University of Washington
    • University of Washington, Seattle
    • University of Washington, department of Mechanical Engineering

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• Deep Neural Networks for Reduced Order Models for Fluid Flows

  ORAL

  Nov. 25, 2019, 5:29 PM – Nov. 25, 2019, 5:42 PM

  Authors

  • William Wolf

    • University of Campinas

  • Hugo Lui

    • University of Campinas

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• Modeling particle-induced turbulence using sparse regression with embedded invariance

  ORAL

  Nov. 25, 2019, 5:42 PM – Nov. 25, 2019, 5:55 PM

  Authors

  • Sarah Beetham

    • University of Michigan

  • Jesse Capecelatro

    • University of Michigan, Ann Arbor
    • University of Michigan

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• Leveraging Dynamics for Near-Optimal, Ultra-Sparse Sensor Placement

  ORAL

  Nov. 25, 2019, 5:55 PM – Nov. 25, 2019, 6:08 PM

  Authors

  • Samuel Otto

    • Princeton University

  • Clarence Rowley

    • Princeton University

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• Space-time recovery of high-resolution turbulent flow fields with machine learning based super resolution

  ORAL

  Nov. 25, 2019, 6:08 PM – Nov. 25, 2019, 6:21 PM

  Authors

  • Kai Fukami

    • Keio University

  • Koji Fukagata

    • Keio University

  • Kunihiko Taira

    • University of California, Los Angeles

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• Reinforcement learning versus linear control of Rayleigh-Bénard convection

  ORAL

  Nov. 25, 2019, 6:21 PM – Nov. 25, 2019, 6:34 PM

  Authors

  • Alessandro Corbetta

    • Eindhoven University Of Technology

  • Gerben Beintema

    • Eindhoven University Of Technology

  • Luca Biferale

    • University of Rome, Tor Vergata

  • Pinaki Kumar

    • Eindhoven University Of Technology

  • Federico Toschi

    • Eindhoven University of Technology
    • Eindhoven University Of Technology
    • Eindhoven University of Technology, The Netherlands

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• Active feedback control of flow over a circular cylinder with wall pressure sensor using machine learning

  ORAL

  Nov. 25, 2019, 6:34 PM – Nov. 25, 2019, 6:47 PM

  Authors

  • Jinhyeok Yun

    • Ajou University

  • Jungil Lee

    • Ajou University

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• Deep Learning for In-situ Compression of Large CFD Simulations

  ORAL

  Nov. 25, 2019, 6:47 PM – Nov. 25, 2019, 7:00 PM

  Authors

  • Ryan King

    • National Renewable Energy Laboratory

  • Andrew Glaws

    • National Renewable Energy Laboratory

  • Michael Alan Sprague

    • National Renewable Energy Laboratory

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