APS Logo

DATA: Machine Learning for Physics Simulations

ORAL · L07 · ID: 3364063





Presentations

  • Designing Jetting with Gradient Based Tools for Dynamic Compression Experiments

    ORAL

    Presenters

    • Kevin Korner

      Lawrence Livermore National Laboratory

    Authors

    • Kevin Korner

      Lawrence Livermore National Laboratory

    • Jergus Strucka

      Imperial College London

    • Michael R Armstrong

      Lawrence Livermore National Laboratory

    • Dane M Sterbentz

      Lawrence Livermore National Laboratory

    • Jeffrey H Nguyen

      Lawrence Livermore National Laboratory

    • Kassim King Mughal

      Imperial College London

    • William Joseph Schill

      Lawrence Livermore National Laboratory

    • Robert N Rieben

      Lawrence Livermore National Laboratory

    • Brandon L Talamini

      Lawrence Livermore National Laboratory

    • Julian Andrej

      Lawrence Livermore National Laboratory

    • Michael Tupek

      Lawrence Livermore National Laboratory

    • Tzanio Kolev

      LLNL

    • Dylan J Kline

      Lawrence Livermore National Laboratory

    • Charles F Jekel

      Lawrence Livermore National Laboratory

    • Daniel White

      Lawrence Livermore National Laboratory

    • Simon N Bland

      Blackett Lab

    • Jonathan L Belof

      Lawrence Livermore National Laboratory

    View abstract →

  • Transforming Legacy Equation of State Databases into Interatomic Potentials via Machine Learning

    ORAL

    Presenters

    • Ember S Salas

      Sandia National Laboratories

    Authors

    • Ember S Salas

      Sandia National Laboratories

    • Stan Moore

      Sandia National Laboratories

    • James M Goff

      Sandia National Laboratories

    • Megan J McCarthy

      Sandia National Laboratories

    • Meghan K Lentz

      Sandia National Laboratories, University of New Mexico, Sandia National Laboratories

    • Normand Arthur Modine

      Sandia National Laboratories

    • Aidan P Thompson

      Sandia National Laboratories

    • Mitchell A Wood

      Sandia National Laboratory

    View abstract →