Extreme-Scale Computational Science Discovery in Fluid Dynamics and Related Disciplines II

FOCUS · S49 · ID: 48134

Presentations

  • Parallel Physics-Informed Neural Networks

    ORAL · Invited

    –

    Publication: Shukla K, Jagtap AD, Karniadakis GE. Parallel physics-informed neural networks via domain decomposition. arXiv preprint arXiv:2104.10013. 2021 Apr 20.

    Presenters

    • George E Karniadakis

      Brown University

    Authors

    • George E Karniadakis

      Brown University

    View abstract →

  • Machine-Learning-Enabled Prediction of Spatiotemporal Boundary Conditions in Multiphase Flow Simulations

    ORAL

    –

    Publication: 1. Mondal, S., Magnotti, G.M., Lusch, B.A., Maulik, R., Torelli, R., "Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors with Uncertainty Quantification", ASME Internal Combustion Engine Fall Conference, 2021.
    2. Mondal, S., Torelli, R., Lusch, B.A., Milan, P.J., Magnotti, G.M., "Accelerating the Generation of Static Coupling Injection Maps Using a Data-Driven Emulator," SAE Int. J. Adv. & Curr. Prac. in Mobility 3(3):1408-1424, 2021.

    Presenters

    • Gina M Magnotti

      Argonne National Laboratory

    Authors

    • Gina M Magnotti

      Argonne National Laboratory

    • Sudeepta Mondal

      Argonne National Laboratory

    • Roberto Torelli

      Argonne National Laboratory

    • Bethany A Lusch

      Argonne National Laboratory

    View abstract →

  • Predicting Boundary-Layer Transition (BLT) using Artificial Intelligence (AI) Causality Inference

    ORAL

    –

    Presenters

    • Arturo Rodriguez

      University of Texas at El Paso

    Authors

    • Arturo Rodriguez

      University of Texas at El Paso

    • Andres Enriquez

      University of Texas at El Paso

    • Jose Terrazas

      University of Texas at El Paso

    • Daniel Villanueva

      University of Texas at El Paso

    • Brandon Paez

      University of Texas at El Paso

    • Nicholas Dudu

      University of Texas at El Paso

    • Rafael Baez

      University of Texas at El Paso

    • Christopher Harris

      Imperial College London

    • Vinod Kumar

      University of Texas at El Paso

    View abstract →

  • Sparse identification of multiphase turbulence closures for strongly-coupled gas-particle flows

    ORAL

    –

    Publication: Beetham, S., Fox, R.O., Capecelatro, J., (2021) Sparse identification of multiphase turbulence closures for coupled fluid-particle flows. Journal of Fluid Mechanics. 914, A11.

    Presenters

    • Sarah Beetham

      Oakland University

    Authors

    • Sarah Beetham

      Oakland University

    • Rodney O Fox

      Iowa State University

    • JESSE S CAPECELATRO

      University of Michigan

    View abstract →

  • A Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes

    ORAL

    –

    Publication: D. R. Ladiges, S. P. Carney, A. Nonaka, K. Kymko, G. C. Moore, A. L. Garcia, S. R. Natesh, A. Donev and J. B. Bell, A Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes, Physical Review Fluids, 6(4), 044309, 2021

    Presenters

    • Daniel R Ladiges

      Lawrence Berkeley National Laboratory

    Authors

    • Daniel R Ladiges

      Lawrence Berkeley National Laboratory

    • J. Galen Wang

      Lawrence Berkeley National Laboratory

    • Ishan Srivastava

      Lawrence Berkeley National Laboratory

    • Sean P Carney

      University of California, Los Angeles

    • Andrew J Nonaka

      Lawrence Berkeley National Laboratory

    • Katherine Klymko

      Lawrence Berkeley National Laboratory

    • Guy C Moore

      University of California, Berkeley

    • Alejandro L Garcia

      San Jose State University

    • Sachin R Natesh

      New York University

    • Aleksandar Donev

      Courant Institute of Mathematical Sciences, New York University, Courant Institute, New York University

    • John B Bell

      Lawrence Berkeley National Laboratory

    View abstract →

  • Coupling melt-pool fluid dynamics to microstructure development to process-aware material model in the Exascale Additive Manufacturing project

    ORAL

    –

    Presenters

    • James F Belak

      Lawrence Livermore Natl Lab

    Authors

    • James F Belak

      Lawrence Livermore Natl Lab

    • John Coleman

      Oak Ridge National Laboratory

    • Robert Carson

      Lawrence Livermore National Laboratory

    • Matthew Rolchigo

      Oak Ridge National Laboratory

    • Samuel T Reeve

      Oak Ridge National Laboratory

    View abstract →

  • A Quantum Inspired Approach to Exploit Turbulence Structures

    ORAL

    –

    Presenters

    • Nikita Gourianov

      University of Oxford

    Authors

    • Peyman Givi

      University of Pittsburgh

    • Nikita Gourianov

      University of Oxford

    • Martin Kiffner

      University of Oxford

    • Michael Lubasch

      Cambridge Quantum

    • Hessam Babaee

      University of Pittsburgh

    • Sergey Dolgov

      University of Bath

    • Quincy van den Berg

      University of Oxford

    • Dieter Jaksch

      Universitat Hamburg

    View abstract →

  • High-Fidelity Numerical Simulations of Fire Using Adaptive Mesh Refinement

    ORAL

    –

    Presenters

    • Peter Hamlington

      University of Colorado Boulder

    Authors

    • Peter Hamlington

      University of Colorado Boulder

    • Caelan B Lapointe

      University of Colorado, Boulder

    • Michael Meehan

      University of Colorado, Boulder

    • Sam Simons-Wellin

      University of Colorado, Boulder

    • Nicholas T Wimer

      National Renewable Energy Laboratory

    • Jeffrey F Glusman

      University of Colorado, Boulder

    View abstract →