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Low-Order Modeling and Machine Learning in Fluid Dynamics: General II

ORAL · T11 · ID: 3583292

Presentations

  • Interaction of POD modes in canonical pipe flows quantified by transfer entropy

    ORAL

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    Presenters

    • Kristaps Stolarovs

      University of Manchester

    Authors

    • Kristaps Stolarovs

      University of Manchester

    • Siavash Toosi

      Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg

    • Lei Yang

      Beijing Institute of Technology

    • Jie Yao

      Beijing Institute of Technology

    • Daniele Massaro

      Massachusetts Institute of Technology

    • Milan D Mihajlovic

      University of Manchester

    • Edgardo J Garcia

      Texas Tech University

    • Fazle Hussain

      Texas Tech University

    • Philipp Schlatter

      Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

    • Saleh Rezaeiravesh

      The University of Manchester, UK

    View abstract →

  • Diff-FlowFSI: A GPU-Optimized Differentiable CFD Platform for Scalable Forward and Inverse Modeling of Complex Flows

    ORAL

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    Publication: Diff-FlowFSI: A GPU-Optimized Differentiable CFD Platform for High-Fidelity Turbulence and FSI Simulations

    Presenters

    • Jian-Xun Wang

      Cornell University, University of Notre Dame

    Authors

    • Xiantao Fan

      Cornell University

    • Meng Wang

      University of Notre Dame

    • Jian-Xun Wang

      Cornell University, University of Notre Dame

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  • Data-driven modeling of a settling sphere in a quiescent medium

    ORAL

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    Publication: H, Wang*, I. Lewis*, S. Kang, Y. Wang, L. P. Chamorro, C. R. Constante-Amores, (2025). Data-driven modeling of a settling sphere in a quiescent medium. arXiv preprint arXiv:2507.12551.

    Presenters

    • Haoyu Wang

      University of Illinois, Urbana-Champaign

    Authors

    • Haoyu Wang

      University of Illinois, Urbana-Champaign

    • Isaac Lewis

      University of Illinois Urbana-Champaign, University of Illinois, Urbana-Champaign

    • Soohyeon Kang

      University of Illinois, Urbana-Champaign, University of Illinois at Urbana-Champaign

    • Yuechao Wang

      University of Illinois Urbana-Champaign, UIUC, University of Illinois, Urbana-Champaign

    • Leonardo P Chamorro

      University of Illinois at Urbana-Champaign, University of Illinois, Urbana-Champaign

    • C. Ricardo Constante-Amores

      University of Illinois Urbana-Champaign, University of Illinois, Urbana-Champaign, University of Illinois Urbana Champaign, University of Illinois at Urbana-Champaign

    View abstract →

  • Predicting liquid properties via droplet pinch-off and machine learning

    ORAL

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    Presenters

    • JINGTAO WANG

      Department of Mechanical Engineering, University College London

    Authors

    • JINGTAO WANG

      Department of Mechanical Engineering, University College London

    • Qiwei Chen

      University of Illinois, Urbana Champaign

    • José Rafael Castrejón-Pita

      Department of Mechanical Engineering, University College London, London, WC1E 7JE, United Kingdom

    • Alfonso Arturo Castrejón-Pita

      Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, United Kingdom

    • Cristian Ricardo Constante Amores

      University of Illinois, Urbana Champaign

    • Denise Gorse

      Department of Computer Science, University College London, London, WC1E 6BT, United Kingdom

    View abstract →

  • Toward generative surrogate models of hydrodynamic instabilities and turbulent mixing

    ORAL

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    Presenters

    • Sébastien Thévenin

      Lawrence Livermore National Laboratory

    Authors

    • Sébastien Thévenin

      Lawrence Livermore National Laboratory

    • Dane M Sterbentz

      Lawrence Livermore National Laboratory

    • Kevin Korner

      Lawrence Livermore National Laboratory

    • Cécile Haberstich

      CEA, DAM, DIF

    • Antoine Briard

      CEA, DAM, DIF

    • Benoît-Joseph Gréa

      CEA, DAM, DIF

    • Balu Nadiga

      Los Alamos National Laboratory, Los Alamos National Laboratory (LANL)

    • William Joseph Schill

      Lawrence Livermore National Laboratory

    • Jonathan L Belof

      Lawrence Livermore National Laboratory

    View abstract →