Interact: Machine Learning in Fluids

Presentations

• INTERACT FLASH TALKS: Machine Learning in Fluids

  COFFEE_KLATCH

  Nov. 24, 2024, 10:50 AM – Nov. 24, 2024, 11:20 AM

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• Kinetic data-driven approach to turbulence subgrid modeling

  POSTER

  Publication: https://arxiv.org/abs/2403.18466

  Presenters

  • Alessandro Gabbana

    • Los Alamos National Laboratory (LANL)

  Authors

  • Alessandro Gabbana

    • Los Alamos National Laboratory (LANL)

  • Giulio Ortali

    • Eindhoven University of Technology

  • Nicola Demo

    • SISSA (International School for Advanced Studies), Trieste, Italy

  • Gianluigi Rozza

    • SISSA (International School for Advanced Studies), Trieste, Italy

  • Federico Toschi

    • Eindhoven University of Technology

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• Analyzing the transition-to-turbulence in Rayleigh-Benard flows through latent space representations

  POSTER

  Presenters

  • Patricio Clark Di Leoni

    • Universidad de San Andrés
    • Universidad de San Andres

  Authors

  • Patricio Clark Di Leoni

    • Universidad de San Andrés
    • Universidad de San Andres

  • Melisa Y Vinograd

    • Universidad de San Andrés

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• Data-driven model reduction via non-intrusive optimization of projection operators and reduced-order dynamics

  POSTER

  Publication: Padovan, A., Vollmer, B. and Bodony, D. J., "Data-driven model reduction via non-intrusive optimization of projection operators and reduced-order dynamics", 2024 (available at https://arxiv.org/abs/2401.01290)

  Presenters

  • Alberto Padovan

    • University of Illinois at Urbana-Champaign

  Authors

  • Alberto Padovan

    • University of Illinois at Urbana-Champaign

  • Blaine Vollmer

    • University of Illinois at Urbana-Champaign

  • Daniel J Bodony

    • University of Illinois at Urbana-Champaign

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• Conditioning deep learning on PDE parameters to generalise emulation of stochastic and chaotic dynamics

  POSTER

  Presenters

  • Ira Jeet Singh Shokar

    • University of Cambridge

  Authors

  • Ira Jeet Singh Shokar

    • University of Cambridge

  • Peter H Haynes

    • University of Cambridge

  • Rich R Kerswell

    • Univ of Cambridge

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• Transition prediction in high-speed boundary layers using Bayesian deep operator networks

  POSTER

  Presenters

  • Hannah Thompson

    • Johns Hopkins University

  Authors

  • Hannah Thompson

    • Johns Hopkins University

  • Yue Hao

    • Johns Hopkins University

  • Ponkrshnan Thiagarajan

    • Johns Hopkins University

  • Tamer A Zaki

    • Johns Hopkins University

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• Integration of Temporal Dynamics in Graph U-Nets for Improved Mesh-Agnostic Spatio-Temporal Flow Prediction

  POSTER

  Publication: Yang, Sunwoong, Ricardo Vinuesa, and Namwoo Kang. "Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction." arXiv preprint arXiv:2406.03789 (2024).

  Presenters

  • Sunwoong Yang

    • KAIST (Korea Advanced Institute of Science and Technology)

  Authors

  • Sunwoong Yang

    • KAIST (Korea Advanced Institute of Science and Technology)

  • Yuning Wang

    • KTH Royal Institute of Technology

  • Abhijeet Vishwasrao

    • KTH Royal Institute of Technology

  • Ricardo Vinuesa

    • KTH Royal Institute of Technology

  • Namwoo Kang

    • KAIST (Korea Advanced Institute of Science and Technology)

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• Multifidelity UQ strategies for laser-ignited rocket combustors

  POSTER

  Presenters

  • Tony Zahtila

    • Stanford University

  Authors

  • Tony Zahtila

    • Stanford University

  • Davy Brouzet

    • Stanford University

  • Murray Cutforth

    • Stanford University

  • Diego Rossinelli

    • Stanford University

  • Gianluca Iaccarino

    • Stanford University

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• Operator Learning for Reconstruction Problems: An Energy Transformer Approach with Applications in Fluid Mechanics

  POSTER

  Presenters

  • Qian Zhang

    • Division of Applied Mathematics, Brown University

  Authors

  • Qian Zhang

    • Division of Applied Mathematics, Brown University

  • George Em Karniadakis

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

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• Learning Stochastic Closures via Conditional Diffusion Model and Neural Operator

  POSTER

  Presenters

  • Xinghao Dong

    • University of Wisconsin - Madison

  Authors

  • Xinghao Dong

    • University of Wisconsin - Madison

  • Chuanqi Chen

    • University of Wisconsin - Madison

  • Jinlong Wu

    • University of Wisconsin - Madison

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• Variational formulation of physics informed neural networks (vfPINN)

  POSTER

  Presenters

  • Chinmay Katke

    • Virginia Tech

  Authors

  • Chinmay Katke

    • Virginia Tech

  • C. Nadir Kaplan

    • Virginia Tech

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• Implicit Neural Representations Meets Interpretable Parameterized Mesh-agnostic Stability-Preserving Reduced-Order Modeling

  POSTER

  Presenters

  • Weichao Li

    • Rensselaer Polytechnic Institute

  Authors

  • Weichao Li

    • Rensselaer Polytechnic Institute

  • Shaowu Pan

    • Rensselaer Polytechnic Institute

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• Geometry-informed deep learning surrogate models for flow prediction

  POSTER

  Presenters

  • Nausheen Sultana Mehboob Basha

    • Imperial College London

  Authors

  • Nausheen Sultana Mehboob Basha

    • Imperial College London

  • Mosayeb Shams

    • Imperial College London

  • Sibo Cheng

    • CEREA, Ecole des Ponts ParisTech, France

  • Rossella Arcucci

    • Imperial College London

  • Omar K. Matar

    • Imperial College London

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• A real-time digital twin of nonlinear azimuthal thermoacoustics

  POSTER

  Publication: Nóvoa, A., et al. "A real-time digital twin of azimuthal thermoacoustic instabilities." arXiv preprint arXiv:2404.18793 (2024).

  Presenters

  • Andrea Nóvoa

    • Imperial College London

  Authors

  • Andrea Nóvoa

    • Imperial College London

  • Nicolas Noiray

    • ETH Zürich

  • James R Dawson

    • Norwegian University of Science & Technology

  • Luca Magri

    • Imperial College London, The Alan Turing Institute, PoliTo
    • Imperial College London, Alan Turing Institute, Politecnico di Torino
    • Imperial College London, Alan Turing Institute

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• CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence

  POSTER

  Publication: Du, Pan, et al. "CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence." arXiv preprint arXiv:2403.05940 (2024).

  Presenters

  • Jian-Xun Wang

    • University of Notre Dame

  Authors

  • Pan Du

    • University of Notre Dame

  • Meet H Parikh

    • University of Notre Dame

  • Xiantao Fan

    • University of Notre Dame

  • Xinyang Liu

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

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• ABSTRACT WITHDRAWN

  COFFEE_KLATCH

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• Ensemble Kalman Methods for Learning Closure Parameters

  POSTER

  Presenters

  • Isabel Scherl

    • California Institute of Technology (Caltech)

  Authors

  • Isabel Scherl

    • California Institute of Technology (Caltech)

  • Eviatar Bach

    • California Institute of Technology

  • Andrew Stuart

    • Caltech

  • Tim Colonius

    • Caltech

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• Information-Theoretic Buckingham-Pi Theorem: Application to Wall Model Discovery for Compressible Flow Over Roughness

  POSTER

  Presenters

  • Yuan Yuan

    • Massachusetts Institute of Technology

  Authors

  • Yuan Yuan

    • Massachusetts Institute of Technology

  • Adrian Lozano-Duran

    • Caltech
    • Caltech/MIT
    • Caltech / MIT
    • Massachusetts Institute of Technology

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• LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles

  POSTER

  Publication: https://arxiv.org/abs/2405.16297

  Presenters

  • Ashesh K Chattopadhyay

    • University of California, Santa Cruz

  Authors

  • Ashesh K Chattopadhyay

    • University of California, Santa Cruz

  • Romit Maulik

    • Pennsylvania State University

  • Haiwen Guan

    • Pennsylvania State University

  • Troy Arcomano

    • Argonne National Laboratory

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• INTERACT DISCUSSION SESSION WITH POSTERS: Machine Learning in Fluids

  COFFEE_KLATCH

  Nov. 24, 2024, 11:20 AM – Nov. 24, 2024, 12:50 PM

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• Abstract Withdrawn

  POSTER · Withdrawn

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• Abstract Withdrawn

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