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ICF: Analytical and Computational Techniques

ORAL · CO05 · ID: 659689

Presentations

  • Understanding Cryogenic Target Performance on OMEGA Using Statistics-Based Analysis with a 2-D DRACO Simulation Database

    ORAL

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    Presenters

    • Duc Cao

      Laboratory for Laser Energetics, U. of Rochester, U. Rochester/LLE, Laboratory for Laser Energetics, University of Rochester, University of Rochester

    Authors

    • Duc Cao

      Laboratory for Laser Energetics, U. of Rochester, U. Rochester/LLE, Laboratory for Laser Energetics, University of Rochester, University of Rochester

    • Rahul C Shah

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

    • Varchas Gopalaswamy

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

    • Aarne Lees

      University of Rochester, Laboratory for Laser Energetics, University of Rochester

    • Cliff A Thomas

      University of Rochester

    • Dhrumir P Patel

      University of Rochester

    • Riccardo Betti

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

    • Wolfgang R Theobald

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

    • James P Knauer

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

    • Radha P Bahukutumbi

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

    • Christian Stoeckl

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

    • Sean P Regan

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

    • William Scullin

      University of Rochester

    • Timothy J Collins

      University of Rochester, Laboratory for Laser Energetics, University of Rochester

    • Valeri N Goncharov

      University of Rochester, Laboratory for Laser Energetics, University of Rochester

    View abstract →

  • Automated design optimization for robust, high yield implosions

    ORAL

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    Presenters

    • Kelli D Humbird

      Lawrence Livermore Natl Lab

    Authors

    • Kelli D Humbird

      Lawrence Livermore Natl Lab

    • Luc Peterson

      Lawrence Livermore Natl Lab

    • Brian K Spears

      Lawrence Livermore Natl Lab, LLNL, Lawrence Livermore National Laboratory, Lawrence Livemore Natl Lab

    View abstract →

  • Yield variability and robustness of a hydrodynamically scaled-up N210808

    ORAL

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    Presenters

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    Authors

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Chris Weber

      Lawrence Livermore Natl Lab

    • Jim A Gaffney

      Lawrence Livermore National Laboratory, Livermore, CA, Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore Natl Lab

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory, Lawrence Livermore National Lab, Lawrence Livermore Natl Lab

    • Luc Peterson

      Lawrence Livermore Natl Lab

    • Brian K Spears

      Lawrence Livermore Natl Lab, LLNL, Lawrence Livermore National Laboratory, Lawrence Livemore Natl Lab

    View abstract →

  • Towards Digital Design at the Exascale: Advances in Bayesian Optimization with Neural Networks

    ORAL

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    Publication: J. J. Thiagarajan et al. "Data-Efficient Scientific Design Optimization with Neural Network Surrogates" in Adaptive Experimental Design and Active Learning in the Real World, International Conference on Machine Learning (July 2022).

    Presenters

    • Luc Peterson

      Lawrence Livermore Natl Lab

    Authors

    • Luc Peterson

      Lawrence Livermore Natl Lab

    • Jayaraman J Thiagarajan

      LLNL, Lawrence Livermore National Laboratory

    • Rushil Anirudh

      LLNL, Lawrence Livermore National Laboratory

    • Yamen Mubarka

      Lawrence Livermore National Laboratory

    • Irene Kim

      Lawrence Livermore National Laboratory

    • Timo Bremer

      Lawrence Livermore National Laboratory, LLNL

    • Brian K Spears

      Lawrence Livermore Natl Lab, LLNL, Lawrence Livermore National Laboratory, Lawrence Livemore Natl Lab

    • Vivek Narayanaswamy

      Arizona State University

    View abstract →

  • Linearized neural network variability model of megajoule yield shots at the National Ignition Facility

    ORAL

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    Presenters

    • Eugene Kur

      Lawrence Livermore National Laboratory

    Authors

    • Eugene Kur

      Lawrence Livermore National Laboratory

    • Jim A Gaffney

      Lawrence Livermore National Laboratory, Livermore, CA, Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore Natl Lab

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory, Lawrence Livermore National Lab, Lawrence Livermore Natl Lab

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Brian K Spears

      Lawrence Livermore Natl Lab, LLNL, Lawrence Livermore National Laboratory, Lawrence Livemore Natl Lab

    View abstract →

  • How predictive are THD experiments? Bayesian analysis of the ICF data from the variability campaign

    ORAL

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    Presenters

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory, Lawrence Livermore National Lab, Lawrence Livermore Natl Lab

    Authors

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory, Lawrence Livermore National Lab, Lawrence Livermore Natl Lab

    • Jim A Gaffney

      Lawrence Livermore National Laboratory, Livermore, CA, Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Brian K Spears

      Lawrence Livermore Natl Lab, LLNL, Lawrence Livermore National Laboratory, Lawrence Livemore Natl Lab

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Chris R Weber

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Dave J Schlossberg

      Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab

    • Alison R Christopherson

      Lawrence Livermore National Laboratory, LLNL

    • Stephan A MacLaren

      LLNL, Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    View abstract →

  • Porting the particle-in-cell code OSIRIS to GPU-accelerated achritectures

    ORAL

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    Presenters

    • Roman Lee

      University of California, Los Angeles

    Authors

    • Roman Lee

      University of California, Los Angeles

    • Jacob R Pierce

      University of California, Los Angeles, Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA

    • Kyle G Miller

      Laboratory for Laser Energetics, University of Rochester, University of California, Los Angeles

    • Adam R Tableman

      California State University, Los Angeles

    • Viktor K Decyk

      University of California, Los Angeles

    • Ricardo A Fonseca

      ISCTE - Lisbon University Institute

    • Warren B Mori

      University of California, Los Angeles, Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, USA

    View abstract →

  • The FLASH Code for Computational High-Energy-Density Physics: Recent Additions and Improvements

    ORAL

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    Presenters

    • Petros Tzeferacos

      University of Rochester, Univ of Rochester

    Authors

    • Petros Tzeferacos

      University of Rochester, Univ of Rochester

    • Adam Reyes

      University of Rochester

    • Eddie C Hanson

      University of Rochester

    • Fernando Garcia Rubio

      University of Rochester

    • Yingchao Lu

      University of Rochester

    • David Michta

      University of Rochester

    • Richard Sarkis

      University of Rochester

    • Marissa B Adams

      University of Rochester

    • Abigail Armstrong

      University of Rochester

    • Kasper Moczulski

      University of Rochester, Univ of Rochester

    • Pericles S Farmakis

      University of Rochester, Lab for Laser Energetics, Laboratory for Laser Energetics, University of Rochester

    • Ananya Mohapatra

      University of Rochester

    • Mary McMullan

      University of Rochester

    • Victor Chang

      University of Rochester

    • Niels Vanderloo

      Oberlin College

    • Joshua P Sauppe

      Los Alamos National Laboratory, LANL

    • Anthony Scopatz

      University of Rochester

    • Milad Fatenejad

      University of Rochester

    View abstract →

  • Interface Reconstruction Using Gaussian Processes for Volume of Fluid Methods

    ORAL

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    Presenters

    • Adam Reyes

      University of Rochester

    Authors

    • Adam Reyes

      University of Rochester

    • Marissa B Adams

      University of Rochester

    • Abigail Armstrong

      University of Rochester

    • Kasper Moczulski

      University of Rochester, Univ of Rochester

    • Pericles S Farmakis

      University of Rochester, Lab for Laser Energetics, Laboratory for Laser Energetics, University of Rochester

    • Eddie C Hanson

      University of Rochester

    • Yingchao Lu

      University of Rochester

    • David Michta

      University of Rochester

    • Petros Tzeferacos

      University of Rochester, Univ of Rochester

    View abstract →