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

FOCUS · S49 · ID: 48134

Presentations

  • Parallel Physics-Informed Neural Networks

    ORAL · Invited

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    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

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  • 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.<br>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

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

    ORAL

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    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

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

    ORAL

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    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

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  • 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

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  • 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 →