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Low-Order Modeling and Machine Learning in Fluid Dynamics: Methods VIII

ORAL · Z10 · ID: 3583332






Presentations

  • Geometry-Conditioned Graph Neural Networks for Spray Prediction

    ORAL

    Presenters

    • Nausheen Basha

      Imperial College London

    Authors

    • Nausheen Basha

      Imperial College London

    • Friedrich Hastedt

      Imperial College London

    • Dongda Zhang

      University of Manchester

    • Antonio del Rio Chanona

      Imperial College London

    • Omar K Matar

      Imperial College London

    View abstract →

  • Data- and physics-driven closure model of harmonic-balanced Navier-Stokes equations using turbulent DNS and experimental data

    ORAL

    Publication: Rigas, G., & Schmid, P. J. (2022). Data-driven closure of the harmonic-balanced Navier-Stokes equations in the frequency domain. In Center for Turbulence Research, Proceedings of the Summer Program (Vol. 2022, pp. 67-76).

    Presenters

    • Khemraj Shukla

      Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

    Authors

    • Khemraj Shukla

      Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

    • Georgios Rigas

      Imperial College London

    • George Em Karniadakis

      Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

    View abstract →

  • Exploring Continuous Data Assimilation Algorithms for Reconstructing Flow from Temperature Measurements

    ORAL

    Publication: Planned paper with the same or a similar title will be forthcoming

    Presenters

    • Jacob William Murri

      University of California, Los Angeles

    Authors

    • Jacob William Murri

      University of California, Los Angeles

    • Sean R Breckling

      Nevada National Security Site (NNSS)

    • Clifford Evan Watkins

      Nevada National Security Sites

    • Matthew Koziol

      University of California, Los Angeles

    • Hayden Schaeffer

      University of California, Los Angeles

    View abstract →

  • Flow Inference and Turbulence Closure of Flow Past a Cylinder using PINNs and Data-Driven RANS Equations

    ORAL

    Presenters

    • Zhen Zhang

      Division of Applied Mathematics, Brown University, Brown University

    Authors

    • Zhen Zhang

      Division of Applied Mathematics, Brown University, Brown University

    • Siavash Khodakarami

      Brown University, Division of Applied Mathematics, Brown University

    • Khemraj Shukla

      Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

    • Zhicheng Wang

      Brown University, Division of Applied Mathematics, Brown University

    • kareem ahmed

      University of Central Florida, Department of Mechanical and Aerospace Engineering, University of Central Florida

    • Anthony Morales

      Department of Mechanical and Aerospace Engineering, University of Central Florida

    • Sheikh Salauddin

      Department of Mechanical and Aerospace Engineering, University of Central Florida

    • David Barrett

      Department of Mechanical Engineering, Massachusetts Institute of Technology

    • Theo Kaeufer

      Department of Mechanical Engineering, Massachusetts Institute of Technology

    • Michael Triantafyllou

      Massachusetts Institute of Technology

    • George Em Karniadakis

      Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, 02912, USA, Division of Applied Mathematics, Brown University

    View abstract →