Differentiable and Machine Learning Infused Simulations in Fluid Dynamics

Presentations

• Emulating nonlinear dynamical systems from data using scientific machine learning

  ORAL · Invited

  March 14, 2022, 8:00 AM – March 14, 2022, 8:36 AM

  Presenters

  • Romit Maulik

    • Argonne National Laboratory

  Authors

  • Romit Maulik

    • Argonne National Laboratory

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• TBA

  ORAL · Invited

  March 14, 2022, 8:36 AM – March 14, 2022, 9:12 AM

  Presenters

  • Gabriel D Weymouth

    • Univ of Southampton

  Authors

  • Gabriel D Weymouth

    • Univ of Southampton

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• Physics-guided surrogate models for fluid dynamics in complex geometries

  ORAL

  March 14, 2022, 9:12 AM – March 14, 2022, 9:24 AM

  Presenters

  • Varun Shankar

    • Carnegie Mellon University

  Authors

  • Varun Shankar

    • Carnegie Mellon University

  • Robin Walters

    • Northeastern University

  • Rui Wang

    • University of California San Diego

  • Rose Yu

    • University of California San Diego

  • Venkat Viswanathan

    • Carnegie Mellon Univ
    • Carnegie Mellon University

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• Deep learning based quasi-continuum theory for structural prediction of water and Lennard-Jones fluid in confined environments

  ORAL

  March 14, 2022, 9:24 AM – March 14, 2022, 9:36 AM

  Presenters

  • Haiyi Wu

    • UT austin

  Authors

  • Haiyi Wu

    • UT austin

  • Narayana R Aluru

    • UT austin

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• Learning hydrodynamic equations for active matter from particle simulations and experiments

  ORAL

  March 14, 2022, 9:36 AM – March 14, 2022, 9:48 AM

  Publication: Learning hydrodynamic equations for active matter from particle simulations and experiments arXiv:2101.06568

  Presenters

  • Alasdair Hastewell

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI

  Authors

  • Rohit Supekar

    • Massachusetts Institute of Technology MIT

  • Boya Song

    • Massachusetts Institute of Technology MIT

  • Alasdair Hastewell

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI

  • Gary Choi

    • Massachusetts Institute of Technology

  • Alexander Mietke

    • Department of Mathematics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology

  • Jorn Dunkel

    • Massachusetts Institute of Technology MIT
    • Department of Mathematics, Massachusetts Institute of Technology
    • Massachusetts Institute of Technology

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• Modeling active fluids via physically constrained machine learning

  ORAL

  March 14, 2022, 9:48 AM – March 14, 2022, 10:00 AM

  Presenters

  • Roman O Grigoriev

    • Georgia Institute of Technology

  Authors

  • Matthew Golden

    • Georgia Institute of Technology

  • Roman O Grigoriev

    • Georgia Institute of Technology

  • Alberto Fernandez-Nieves

    • Univ de Barcelona
    • University of Barcelona

  • Jyothishraj Nambisan

    • Georgia Institute of Technology

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