ICF: Machine Learning

Presentations

• Predicting Neutron Yield of NIF ICF Experiments by Applying Machine Learning to a Small (n<150) and Heterogeneous Experimental Dataset

  ORAL

  Nov. 10, 2020, 9:30 AM – Nov. 10, 2020, 9:42 AM

  Authors

  • Andrew Maris

    • Massachusetts Institute of Technology, Plasma Science and Fusion Center, Cambridge, MA 02139

  • Shahab Khan

    • LLNL
    • Lawrence Livermore National Laboratory, Livermore, USA
    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550

  • Luc Peterson

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550

  • Kelli Humbird

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550
    • LLNL

  • Arthur Pak

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550

  View abstract →

• Inferring Degradation Mechanisms in OMEGA Cryogenic Implosions Through Statistical Modeling

  ORAL

  Nov. 10, 2020, 9:42 AM – Nov. 10, 2020, 9:54 AM

  Authors

  • V. Gopalaswamy

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

  • Riccardo Betti

    • Lab for Laser Energetics

  • James Knauer

    • Lab for Laser Energetics

  • Aarne Lees

    • Lab for Laser Energetics

  • Dhrumir Patel

    • Lab for Laser Energetics

  • Alison Christopherson

    • Lab for Laser Energetics

  • Ka Ming Woo

    • Lab for Laser Energetics

  • Duc Cao

    • Lab for Laser Energetics

  • Cliff Thomas

    • Lab for Laser Energetics

  • Igor Igumenshchev

    • Lab for Laser Energetics

  • Sean Regan

    • Lab for Laser Energetics

  • Wolfgang Theobald

    • Lab for Laser Energetics

  • Rahul Shah

    • Lab for Laser Energetics

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• Deep Learning Enabled Inference of Fuel Magnetization in Magnetized Liner Inertial Fusion

  ORAL

  Nov. 10, 2020, 9:54 AM – Nov. 10, 2020, 10:06 AM

  Authors

  • William Lewis

    • Sandia National Laboratories

  • Patrick Knapp

    • Sandia National Laboratories

  • Matthew Gomez

    • Sandia National Laboratories

  • Adam Harvey-Thompson

    • Sandia National Laboratories

  • Paul Schmit

    • Sandia National Laboratories

  • David Ampleford

    • Sandia National Laboratories

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• The Bayesian Super Postshot: Inferring drive, shape and physics degradations from non-scalar inertial confinement fusion data

  ORAL

  Nov. 10, 2020, 10:06 AM – Nov. 10, 2020, 10:18 AM

  Authors

  • Jim Gaffney

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  • Gemma Anderson

    • Lawrence Livermore Natl Lab

  • Scott Brandon

    • Lawrence Livermore Natl Lab

  • Kelli Humbird

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550
    • LLNL

  • Michael Kruse

    • Lawrence Livermore Natl Lab

  • Bogdan Kustowski

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab

  • Ryan Nora

    • Lawrence Livermore Natl Lab

  • Luc Peterson

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory, Livermore, CA 94550

  • Brian Spears

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

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• Estimating the mean and variance of observables for a new capsule design from a limited set of radiation hydrodynamics calculations

  ORAL

  Nov. 10, 2020, 10:18 AM – Nov. 10, 2020, 10:30 AM

  Authors

  • Michael Kruse

    • Lawrence Livermore Natl Lab

  • James Gaffney

    • Lawrence Livermore Natl Lab

  • Ryan Nora

    • Lawrence Livermore Natl Lab

  • Kelli Humbird

    • Lawrence Livermore Natl Lab

  • Luc Peterson

    • Lawrence Livermore Natl Lab

  • Brian Spears

    • Lawrence Livermore Natl Lab

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• Robust data-driven discovery of reduced plasma physics models from fully kinetic simulations

  ORAL

  Nov. 10, 2020, 10:30 AM – Nov. 10, 2020, 10:42 AM

  Authors

  • E. Paulo Alves

    • SLAC - Natl Accelerator Lab
    • SLAC National Accelerator Laboratory

  • Frederico Fiuza

    • SLAC National Accelerator Laboratory
    • High Energy Density Science Division, SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
    • SLAC - Natl Accelerator Lab
    • SLAC

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• Fitting surrogate models of ICF radiation hydrodynamic simulations to multimodal experimental data with unknown inputs

  ORAL

  Nov. 10, 2020, 10:42 AM – Nov. 10, 2020, 10:54 AM

  Authors

  • Bogdan Kustowski

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore Natl Lab

  • Jim Gaffney

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  • Brian Spears

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  • Rushil Anirudh

    • Lawrence Livermore National Laboratory

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