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

Presentations

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

  ORAL

  Nov. 24, 2025, 5:35 PM – Nov. 24, 2025, 5:48 PM

  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 →

• Comparing Conventional and Physics-Constrained Neural Approaches for Euler Riemann Problems

  ORAL

  Nov. 24, 2025, 5:48 PM – Nov. 24, 2025, 6:01 PM

  Publication: Sudharsan. S & Sharma, A. (2025). Comparing Conventional and Physics-Constrained Neural Approaches for Euler Riemann Problems. Manuscript in preparation.

  Presenters

  • Sarasija Sudharsan

    • Iowa State University

  Authors

  • Sarasija Sudharsan

    • Iowa State University

  • Anupam Sharma

    • Iowa State University

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

  ORAL

  Nov. 24, 2025, 6:01 PM – Nov. 24, 2025, 6:14 PM

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

  Presenters

  • Jian-Xun Wang

    • Cornell University

  Authors

  • Xiantao Fan

    • Cornell University

  • Meng Wang

    • University of Notre Dame

  • Jian-Xun Wang

    • Cornell University

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

  ORAL

  Nov. 24, 2025, 6:14 PM – Nov. 24, 2025, 6:27 PM

  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
    • University of Illinois Urbana-Champaign
    • UIUC

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

  View abstract →

• Abstract Withdrawn

  ORAL · Withdrawn

  Nov. 24, 2025, 6:27 PM – Nov. 24, 2025, 6:40 PM

  View abstract →

• Toward generative surrogate models of hydrodynamic instabilities and turbulent mixing

  ORAL

  Nov. 24, 2025, 6:40 PM – Nov. 24, 2025, 6:53 PM

  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

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• A Data-driven Kernel Regression Approach for Predicting Chemical Reaction Rates

  ORAL

  Nov. 24, 2025, 6:53 PM – Nov. 24, 2025, 7:06 PM

  Presenters

  • Okezzi F Ukorigho

    • Louisiana State University

  Authors

  • Okezzi F Ukorigho

    • Louisiana State University

  • Opeoluwa Owoyele

    • Louisiana State University

  View abstract →