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, 9:00 AM – March 14, 2022, 9:36 AM

  Presenters

  • Romit Maulik

    Argonne National Laboratory

  Authors

  • Romit Maulik

    Argonne National Laboratory

  View abstract →

• TBA

  ORAL · Invited

  March 14, 2022, 9:36 AM – March 14, 2022, 10:12 AM

  Presenters

  • Gabriel D Weymouth

    Univ of Southampton

  Authors

  • Gabriel D Weymouth

    Univ of Southampton

  View abstract →

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

  ORAL

  March 14, 2022, 10:12 AM – March 14, 2022, 10:24 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

  View abstract →

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

  ORAL

  March 14, 2022, 10:24 AM – March 14, 2022, 10:36 AM

  Presenters

  • Haiyi Wu

    UT austin

  Authors

  • Haiyi Wu

    UT austin

  • Narayana R Aluru

    UT austin

  View abstract →

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

  ORAL

  March 14, 2022, 10:36 AM – March 14, 2022, 10:48 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

  View abstract →

• Modeling active fluids via physically constrained machine learning

  ORAL

  March 14, 2022, 10:48 AM – March 14, 2022, 11:00 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

  View abstract →