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

Presentations

• Data-Driven Reduced Order Models Under Physical Constraints.

  ORAL

  Nov. 25, 2025, 8:00 AM – Nov. 25, 2025, 8:13 AM

  Publication: [1] Ayoub, R. and Oulghelou, M. and Schmid, P. Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows. Computer Methods in Applied Mechanics and Engineering, 2025.<br>[2] Oulghelou, M. and Ammar, A. and Ayoub, R. Greedy identification of latent dynamics from parametric flow data. Computer Methods in Applied Mechanics and Engineering, 2024.

  Presenters

  • Rama AYOUB

    King Abdullah Univ of Sci & Tech (KAUST)

  Authors

  • Rama AYOUB

    King Abdullah Univ of Sci & Tech (KAUST)

  • Peter J Schmid

    King Abdullah University of Science and Technology

  • Mourad Oulghelou

    Sorbonne Universite, Sorbonne University

  View abstract →

• Hierarchical Modeling for Synthetic Turbulence Generation

  ORAL

  Nov. 25, 2025, 8:13 AM – Nov. 25, 2025, 8:26 AM

  Presenters

  • Shabarish Balaji

    Indian Institute of Technology (IIT), Madras

  Authors

  • Shabarish Balaji

    Indian Institute of Technology (IIT), Madras

  • Mahesh V Panchagnula

    Indian Institute of Technology, Madras

  • DEBJIT KUNDU

    Indian Institute of Technology Madras

  • Revanth Madabathula

    Indian Institute of Technology (IIT), Madras

  • Mukesh Karunanethy

    Indian Institute of Technology (IIT), Madras

  View abstract →

• Characterizing and categorizing linear amplification mechanisms in non-canonical turbulent flows using sparsity-promoting optimization

  ORAL

  Nov. 25, 2025, 8:26 AM – Nov. 25, 2025, 8:39 AM

  Presenters

  • Ahmed I El-Nadi

    Illinois Institute of Technology

  Authors

  • Ahmed I El-Nadi

    Illinois Institute of Technology

  • Scott T. M. Dawson

    Illinois Institute of Technology

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• Blending data and physics for reduced-order modeling of systems with spatiotemporal chaotic dynamics

  ORAL

  Nov. 25, 2025, 8:39 AM – Nov. 25, 2025, 8:52 AM

  Publication: Submitted manuscript to Nature machine intelligence and arXiv (manuscript title same as talk title)

  Presenters

  • Alex Guo

    University of Wisconsin - Madison

  Authors

  • Alex Guo

    University of Wisconsin - Madison

  • Michael David Graham

    University of Wisconsin - Madison

  View abstract →

• Data-Augmented Turbulence Modeling with Physics-Driven Corrections for Separated Compressible Flow

  ORAL

  Nov. 25, 2025, 8:52 AM – Nov. 25, 2025, 9:05 AM

  Publication: Heo, S., Kim, Y., Yun, Y., & Jee, S. (2025). Data-Augmented Turbulence Modeling for Separated Compressible Flow around Axisymmetric Bodies. Aerospace Science and Technology, 110569.

  Presenters

  • Seoyeon Heo

    Gwangju Institute of Science and Technology

  Authors

  • Seoyeon Heo

    Gwangju Institute of Science and Technology

  • Yeji Yun

    Gwangju Institute of Science and Technology

  • Junho Eom

    Gwangju Institute of Science and Technology

  • Solkeun Jee

    Gwangju Institute of Science and Technology

  View abstract →

• Solving Incompressible Navier-Stokes Equations with Physics and Equality Constrained Artificial Neural Networks

  ORAL

  Nov. 25, 2025, 9:05 AM – Nov. 25, 2025, 9:18 AM

  Presenters

  • Qifeng Hu

    University of Pittsburgh

  Authors

  • Qifeng Hu

    University of Pittsburgh

  • Inanc Senocak

    University of Pittsburgh

  View abstract →

• Modular Operator Superposition (MOS): Physics-Guided ML Addressing Dimensionality Curse

  ORAL

  Nov. 25, 2025, 9:18 AM – Nov. 25, 2025, 9:31 AM

  Publication: Kai Liu, S. Balachandar, Haochen Li. (2025) Modular Operator Superposition (MOS): A Physics-Guided Machine Learning Framework for Addressing the Curse of Dimensionality and Multiscale Challenges in Computational Fluid Dynamics.

  Presenters

  • Kai Liu

    University of Tennessee

  Authors

  • Kai Liu

    University of Tennessee

  • S Balachandar

    University of Florida

  • Haochen Li

    University of Tennessee

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• Data-driven transport and wall models for transition-continuum flows based on modeled distribution functions

  ORAL

  Nov. 25, 2025, 9:31 AM – Nov. 25, 2025, 9:44 AM

  Presenters

  • Ashish S Nair

    University of Notre Dame

  Authors

  • Ashish S Nair

    University of Notre Dame

  • Narendra Singh

    Texas A&M University

  • Marco Panesi

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

  • Justin Sirignano

    University of Oxford

  • Jonathan F MacArt

    University of Notre Dame

  View abstract →

• Physics-constrained neural-network sub-grid-scale models for turbulent premixed flames

  ORAL

  Nov. 25, 2025, 9:44 AM – Nov. 25, 2025, 9:57 AM

  Presenters

  • Seung Won Suh

    University of Illinois Urbana-Champaign

  Authors

  • Seung Won Suh

    University of Illinois Urbana-Champaign

  • Jonathan F MacArt

    University of Notre Dame

  • Luke Olson

    University of Illinois Urbana-Champaign

  • Jonathan Ben Freund

    University of Illinois Urbana-Champaign

  View abstract →

• Solving Nonlinear Equation of Subsonic Compressible Flow via PINNs

  ORAL

  Nov. 25, 2025, 9:57 AM – Nov. 25, 2025, 10:10 AM

  Presenters

  • Hongkai Tao

    Central South University

  Authors

  • Hongkai Tao

    Central South University

  • Xuehui Qian

    University of Notre Dame

  • Yongji Wang

    New York University

  View abstract →

• Physics-Informed Neural Networks for Nonlinear Pseudoshock Modeling in Duct Flows

  ORAL

  Nov. 25, 2025, 10:10 AM – Nov. 25, 2025, 10:23 AM

  Presenters

  • Dorothee Thiemann

    School of Engineering, Brown University

  Authors

  • Dorothee Thiemann

    School of Engineering, Brown University

  • Ahmad Peyvan

    Division of Applied Mathematics, Brown University

  • 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 →

• PDE-Constrained Optimization of Subgrid‑Scale Models Applied to a Viscous Shu–Osher Analog

  ORAL

  Nov. 25, 2025, 10:23 AM – Nov. 25, 2025, 10:36 AM

  Presenters

  • Nathan Ziems

    University of Notre Dame

  Authors

  • Nathan Ziems

    University of Notre Dame

  • Jonathan F MacArt

    University of Notre Dame

  View abstract →