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

Presentations

• Latent Diffusion Models for Partial Differential Equations Modeling

  ORAL

  Nov. 25, 2024, 10:00 AM – Nov. 25, 2024, 10:13 AM

  Presenters

  • Anthony Zhou

    Carnegie Mellon University

  Authors

  • Anthony Zhou

    Carnegie Mellon University

  • Amir Barati farimani

    Carnegie Mellon University

  View abstract →

• Pretraining a Neural Operator in Lower Dimensions

  ORAL

  Nov. 25, 2024, 10:13 AM – Nov. 25, 2024, 10:26 AM

  Presenters

  • AmirPouya Hemmasian

    Carnegie Mellon University

  Authors

  • AmirPouya Hemmasian

    Carnegie Mellon University

  • Amir Barati farimani

    Carnegie Mellon University

  View abstract →

• A Multi-Modal Implicit Neural Representation Method for Dimension Reduction of Spatiotemporal Flow Data

  ORAL

  Nov. 25, 2024, 10:26 AM – Nov. 25, 2024, 10:39 AM

  Presenters

  • Pan Du

    University of Notre Dame

  Authors

  • Pan Du

    University of Notre Dame

  • Jian-Xun Wang

    University of Notre Dame

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• Physics-Constrained Coupled Neural Differential Equations: Application to 1D Blood Flow Modeling

  ORAL

  Nov. 25, 2024, 10:39 AM – Nov. 25, 2024, 10:52 AM

  Presenters

  • Hunor Csala

    University of Utah

  Authors

  • Hunor Csala

    University of Utah

  • Arvind T Mohan

    Los Alamos National Laboratory (LANL)

  • Daniel Livescu

    Los Alamos National Laboratory (LANL)

  • Amirhossein Arzani

    University of Utah

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• Machine Learning-Driven Inverse Fluid-Structure Interaction (FSI) Simulations of the Heart

  ORAL

  Nov. 25, 2024, 10:52 AM – Nov. 25, 2024, 11:05 AM

  Presenters

  • Hossein Geshani

    Texas A&M University College Station

  Authors

  • Hossein Geshani

    Texas A&M University College Station

  • Iman Borazjani

    Texas A&M University College Station, Texas A&M University, College Station

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• Diff-FlowFSI: A GPU-accelerated, JAX-based Differentiable CFD Solver for Turbulent Flow and Fluid-Structure Interactions

  ORAL

  Nov. 25, 2024, 11:05 AM – Nov. 25, 2024, 11:18 AM

  Presenters

  • Xinyang Liu

    University of Notre Dame

  Authors

  • Xiantao Fan

    University of Notre Dame

  • Xinyang Liu

    University of Notre Dame

  • Meng Wang

    University of Notre Dame

  • Jian-Xun Wang

    University of Notre Dame

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• Box model for colliding turbidity currents via equation discovery methods

  ORAL

  Nov. 25, 2024, 11:18 AM – Nov. 25, 2024, 11:31 AM

  Presenters

  • Nathan Willis

    University of California, Merced

  Authors

  • Nathan Willis

    University of California, Merced

  • Francois Blanchette

    University of California, Merced

  • Conor Olive

    University of California, Merced

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• Abstract Withdrawn

  ORAL Withdrawn

  Nov. 25, 2024, 11:31 AM – Nov. 25, 2024, 11:44 AM

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• Real-time prediction of turbulent flow using physics-informed neural networks with coarse spatiotemporal data

  ORAL

  Nov. 25, 2024, 11:44 AM – Nov. 25, 2024, 11:57 AM

  Presenters

  • Jinhyeok Yun

    Pusan National University

  Authors

  • Jinhyeok Yun

    Pusan National University

  • Seongbeom Park

    Pusan National University

  • Dowon Kim

    Pusan National University

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• Conjugate Gradient Greedy Identification of Latent Dynamics from Parametric Flow Data.

  ORAL

  Nov. 25, 2024, 11:57 AM – Nov. 25, 2024, 12:10 PM

  Presenters

  • Rama AYOUB

    King Abdullah Univ of Sci & Tech (KAUST)

  Authors

  • Rama AYOUB

    King Abdullah Univ of Sci & Tech (KAUST)

  • Mourad Oulghelou

    Sorbonne University

  • Peter J Schmid

    King Abdullah University of Science and Technology, King Abdullah Univ of Sci & Tech (KAUST)

  View abstract →