ICF: Analytical and Computational Techniques

Presentations

• Subgrid Model of Laser Propagation and Heating in a Foam

  ORAL

  Oct. 21, 2019, 9:30 AM – Oct. 21, 2019, 9:42 AM

  Authors

  • Mikhail Belyaev

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab

  • Richard Berger

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab

  • Steven Langer

    • Lawrence Livermore Natl Lab

  • Ogden Jones

    • Lawrence Livermore Natl Lab

  View abstract →

• Benchmark Hohlraum Simulations Enabled by NLTE Kinetics on GPUs

  ORAL

  Oct. 21, 2019, 9:42 AM – Oct. 21, 2019, 9:54 AM

  Authors

  • Mehul V. Patel

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • LLNL

  • Hai P. Le

    • Lawrence Livermore National Laboratory

  • Howard A. Scott

    • Lawrence Livermore National Laboratory

  • Jay D. Salmonson

    • Lawrence Livermore National Laboratory

  • Joseph M. Koning

    • Lawrence Livermore National Laboratory

  • Christopher V. Young

    • Lawrence Livermore National Laboratory

  • Steven H. Langer

    • Lawrence Livermore National Laboratory

  View abstract →

• PIC Simulations of Laser-Irradiated Foam Filaments: Plasma Heating, Interpenetration, and Stagnation

  ORAL

  Oct. 21, 2019, 9:54 AM – Oct. 21, 2019, 10:06 AM

  Authors

  • B. J. Winjum

    • University of California, Los Angeles
    • UCLA

  • S. Langer

    • LLNL

  • M. Belyaev

    • LLNL

  • S. Wilks

    • LLNL

  • J. Milovich

    • LLNL

  • O. Jones

    • LLNL

  View abstract →

• Non-equilibrium electron distributions driven by inverse Bremsstrahlung heating and ionization: Langdon effect revisited

  ORAL

  Oct. 21, 2019, 10:06 AM – Oct. 21, 2019, 10:18 AM

  Authors

  • Hai Le

    • Lawrence Livermore Natl Lab

  • Mark Sherlock

    • Lawrence Livermore Natl Lab

  • Howard Scott

    • Lawrence Livermore Natl Lab

  • Avram Milder

    • University of Rochester Laboratory for Laser Energetics

  • Dustin Froula

    • University of Rochester Laboratory for Laser Energetics

  View abstract →

• Finding Correlations in Inertial Confinement Fusion Experimental Data Using Machine Learning

  ORAL

  Oct. 21, 2019, 10:18 AM – Oct. 21, 2019, 10:30 AM

  Authors

  • Andrew Maris

    • Lawrence Livermore National Laboratory

  • Shahab Khan

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  View abstract →

• Analysis of NIF scaling using physics informed machine learning

  ORAL

  Oct. 21, 2019, 10:30 AM – Oct. 21, 2019, 10:42 AM

  Authors

  • Abigail Hsu

    • Stony Brook University, LANL

  • Baolian Cheng

    • LANL
    • Los Alamos National Laboratory

  • Paul Bradley

    • LANL
    • Los Alamos National Laboratory

  View abstract →

• Analysis and Extrapolation of Highest{\-}Performing OMEGA DT Layered Implosions to National Ignition Facility Energy

  ORAL

  Oct. 21, 2019, 10:42 AM – Oct. 21, 2019, 10:54 AM

  Authors

  • Dhrumir Patel

    • University of Rochester

  • Riccrado Betti

    • University of Rochester, Laboratory for Laser Energetics
    • University of Rochester
    • Laboratory for Laser Energetics, University of Rochester
    • Laboratory for Laser Energetics, U. of Rochester
    • Laboratory for Laser Energetics

  • Ka MIng Woo

    • Laboratory for Laser Energetics

  • Varchas Gopalaswamy

    • University of Rochester - LLE
    • Laboratory for Laser Energetics, University of Rochester
    • Laboratory for Laser Energetics
    • University of Rochester

  • Arijit Bose

    • MIT
    • Massachusetts Institute of Technology

  View abstract →

• Area-Based Image Metrics Elucidate Differences Between Radiation-Hydrodynamics Simulations and NIF Experimental X-ray Images

  ORAL

  Oct. 21, 2019, 10:54 AM – Oct. 21, 2019, 11:06 AM

  Authors

  • Michael Kruse

    • Lawrence Livermore Natl Lab

  • John Field

    • Lawrence Livermore Natl Lab

  • James Gaffney

    • Lawrence Livermore Natl Lab

  • Ryan Nora

    • Lawrence Livermore Natl Lab

  • Kelli Humbird

    • Lawrence Livermore Natl Lab

  • Robin Benedetti

    • Lawrence Livermore Natl Lab

  • Nobuhiko Izumi

    • Lawrence Livermore Natl Lab

  • Shahab Khan

    • Lawrence Livermore Natl Lab

  • Tammy Ma

    • Lawrence Livermore Natl Lab

  • Luc Peterson

    • Lawrence Livermore Natl Lab

  • Brian Spears

    • Lawrence Livermore Natl Lab

  View abstract →

• Deep Learning for Non-Local Thermodynamic Equilibrium in hydrocodes for ICF.

  ORAL

  Oct. 21, 2019, 11:06 AM – Oct. 21, 2019, 11:18 AM

  Authors

  • Gilles Kluth

    • CEA de Bruyeres-le-Chatel

  • Kelli Humbird

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory
    • LLNL

  • Brian Spears

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory
    • LLNL

  • Howard Scott

    • Lawrence Livermore Natl Lab
    • LLNL

  • Mehul V. Patel

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • LLNL

  • Luc Peterson

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • LLNL

  • Joe Koning

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • LLNL

  • Marty Marinak

    • LLNL

  • Laurent Divol

    • LLNL
    • Lawrence Livermore Natl Lab

  • Chris Young

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • LLNL

  View abstract →

• Data-driven discovery of reduced plasma physics models from high-fidelity simulations

  ORAL

  Oct. 21, 2019, 11:18 AM – Oct. 21, 2019, 11:30 AM

  Authors

  • E. Paulo Alves

    • SLAC National Accelerator Laboratory
    • SLAC National Accelerator Lab

  • Frederico Fiuza

    • SLAC National Accelerator Laboratory
    • SLAC
    • Stanford Linear Accelerator Complex
    • SLAC National Accelerator Lab

  View abstract →

• Can reinforced learning be used to design ICF experiments?

  ORAL

  Oct. 21, 2019, 11:30 AM – Oct. 21, 2019, 11:42 AM

  Authors

  • J. Kline

    • Los Alamos National Laboratory
    • Los Alamos National Lab

  • B. T. Wolfe

    • Los Alamos National Laboratory

  • W. P. Gammel

    • Los Alamos National Laboratory

  • J. P. Suappe

    • Los Alamos National Laboratory

  • S. M. Finnegan

    • Los Alamos National Laboratory

  • G. Maskaly

    • Los Alamos National Laboratory

  View abstract →

• Building physics into neural networks to improve predictions and reduce uncertainty

  ORAL

  Oct. 21, 2019, 11:42 AM – Oct. 21, 2019, 11:54 AM

  Authors

  • Brian Spears

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory
    • LLNL

  • Jim Gaffney

    • Lawrence Livermore Natl Lab

  • Scott Brandon

    • Lawrence Livermore Natl Lab

  • Kelli Humbird

    • Lawrence Livermore Natl Lab

  • Michael Kruse

    • Lawrence Livermore Natl Lab

  • Bogdan Kustowski

    • Lawrence Livermore Natl Lab

  • Ryan Nora

    • Lawrence Livermore Natl Lab

  • Luc Peterson

    • Lawrence Livermore Natl Lab

  • Rushil Anirudh

    • Lawrence Livermore Natl Lab

  • Jay Thiagarajan

    • Lawrence Livermore Natl Lab

  • Timo Bremer

    • Lawrence Livermore Natl Lab

  View abstract →

• Analytic insights into non-local electron energy transport: Steady state Krook and Fokker Planck theory in spherical geometry

  ORAL

  Oct. 21, 2019, 11:54 AM – Oct. 21, 2019, 12:06 PM

  Authors

  • Wallace Manheimer

    • Retired
    • United States Naval Research Laboratory

  • Denis Colombant

    • Retired

  View abstract →