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ICF/HED/FPS/Beams: Machine Learning

ORAL · BO07 · ID: 1746296

Presentations

  • Stable Machine-Learning Models for Fluid Simulations: A Geometry-Agnostic Approach to Nonlinear Kinetic Effects

    ORAL

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    Publication: 1. Joglekar, A. S. & Thomas, A. G. R. Machine learning of hidden variables in multiscale fluid simulation. Submitted to IOP Machine Learning: Science and Technology. Preprint at https://doi.org/10.48550/arXiv.2306.10709 (2023).<br>2. Joglekar, A. S. & Thomas, A. G. R. ADEPT - Automatic Differentiation Enabled Plasma Transport. Invited Talk - Synergy of Scientific and Machine Learning Modeling Workshop - ICML (2023).

    Presenters

    • Archis S Joglekar

      Ergodic LLC

    Authors

    • Archis S Joglekar

      Ergodic LLC

    • Alexander G Thomas

      University of Michigan

    View abstract →

  • Transformation for Physical Interpretability and Data Refinement in a Machine-Learned NLTE Model of ICF Simulation

    ORAL

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    Publication: [1] G. Kluth, et. al., Physics of Plasmas 27 052707 (2020).<br>[2] Michael D. Vander Wal, et. al., Machine Learning with Applications 8 100308 (2022).

    Presenters

    • Min Sang Cho

      Lawrence Livermore National Laboratory

    Authors

    • Min Sang Cho

      Lawrence Livermore National Laboratory

    • Paul E Grabowski

      Lawrence Livermore National Laboratory

    • Michael J Barrow

      Lawrence Livermore National Laboratory

    • Jayram S Thathachar

      Lawrence Livermore National Laboratory

    • Peer-Timo Bremer

      Lawrence Livermore National Laboratory

    • Kowshik Thopalli

      Lawrence Livermore National Laboratory

    • Hai P Le

      Lawrence Livermore Natl Lab

    • Howard A Scott

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Mark E Foord

      Lawrence Livermore Natl Lab

    • Jim A Gaffney

      Lawrence Livermore National Laboratory

    View abstract →

  • Prospects for statistical tests of strong-field quantum electrodynamics with high-intensity lasers.

    ORAL

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    Publication: The current work is under submission and a preprint can be found on arXiv : <br><br>> Olofsson, Christoffer, and Arkady Gonoskov. "Prospects for statistical tests of strong-field quantum electrodynamics with high-intensity lasers." arXiv preprint arXiv:2303.00568 (2023).

    Presenters

    • Christoffer J Olofsson

      Department of Physics, University of Gothenburg

    Authors

    • Christoffer J Olofsson

      Department of Physics, University of Gothenburg

    • Arkady Gonoskov

      Gothenburg University, Department of Physics, University of Gothenburg

    View abstract →

  • Quantifying and Reducing Uncertainty in Inertial Confinement Fusion Experiments Using Optimal Experimental Design

    ORAL

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    Presenters

    • Codie Y Fiedler Kawaguchi

      Los Alamos National Laboratory, University of Michigan, University of Michigan

    Authors

    • Codie Y Fiedler Kawaguchi

      Los Alamos National Laboratory, University of Michigan, University of Michigan

    • Kirk A Flippo

      Los Alamos Natl Lab

    • Alexander M Rasmus

      Los Alamos National Laboratory, Los Alamos National Lab

    • Elizabeth C Merritt

      Los Alamos National Laboratory

    • Eric Johnsen

      University of Michigan

    • Xun Huan

      University of Michigan

    View abstract →

  • Optimizing New Inertial Confinement Fusion Designs Under Uncertainty

    ORAL

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    Presenters

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    Authors

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Eugene Kur

      Lawrence Livermore National Laboratory, LLNL

    • Jim A Gaffney

      Lawrence Livermore National Laboratory

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Brian K Spears

      LLNL

    View abstract →

  • Laser-Direct-Drive Cryogenic Implosion Performance on OMEGAand Improvements to Illumination Uniformity and Ablation Pressure

    ORAL

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    Presenters

    • Cliff A Thomas

      University of Rochester

    Authors

    • Cliff A Thomas

      University of Rochester

    • Christian Stoeckl

      University of Rochester

    • Michael J Rosenberg

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

    • James P Knauer

      University of Rochester

    • Wolfgang R Theobald

      Focused Energy

    • Sean P Regan

      Laboratory for Laser Energetics, University of Rochester

    • TImothy J Collins

      University of Rochester

    • Valeri N Goncharov

      University of Rochester, Laboratory for Laser Energetics

    • Riccardo Betti

      Laboratory for Laser Energy, Rochester, NY, USA., University of Rochester, LLE, Univ of Rochester

    • Christopher Deeney

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

    • Michael Campbell

      Laboratory for Laser Energetics, MCM Consulting, University of Rochester

    • Kenneth Anderson

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

    • Katelynn Bauer

      University of Rochester

    • Mark J Bonino

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

    • Duc M Cao

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

    • Stephen Craxton

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

    • Dana H Edgell

      LLE

    • Reuben Epstein

      University of Rochester

    • Chad J Forrest

      University of Rochester

    • Vladimir Glebov

      Lab for Laser Energetics, University of Rochester

    • Varchas Gopalaswamy

      Laboratory for Laser Energetics - Rochester

    • David R Harding

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

    • Igor V Igumenshchev

      Lab for Laser Energetics

    • Steven T Ivancic

      Lab for Laser Energetics

    • Douglas W Jacobs-Perkins

      University of Rochester

    • Roger T Janezic

      Laboratory for Laser Energetics, University of Rochester

    • Joe Kwiatkowski

      University of Rochester

    • Aarne Lees

      University of Rochester

    • Frederic J Marshall

      University of Rochester

    • Michael Michalko

      Laboratory for Laser Energetics, University of Rochester

    • Dhrumir P Patel

      University of Rochester

    • Jonathan Peebles

      University of Rochester

    • P. B Radha

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

    • Hans G Rinderknecht

      Laboratory for Laser Energetics - Rochester

    • Siddharth Sampat

      Laboratory for Laser Energetics, University of Rochester

    • Thomas C Sangster

      University of Rochester

    • Rahul C Shah

      Laboratory for Laser Energetics - Rochester

    • Conner A Williams

      University of Rochester

    View abstract →

  • Direct-Drive Implosion Performance Optimization Using Gaussian Process Modeling and Reinforcement Learning

    ORAL

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    Presenters

    • Rahman Ejaz

      Laboratory for Laser Energetics, University of Rochester

    Authors

    • Rahman Ejaz

      Laboratory for Laser Energetics, University of Rochester

    • Varchas Gopalaswamy

      Laboratory for Laser Energetics - Rochester

    • Aarne Lees

      University of Rochester

    • Duc M Cao

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

    • Soumyendu Sarkar

      HP Labs, Hewlett Packard Enterprise

    • Christopher Kanan

      Department of Computer Science, University of Rochester

    View abstract →

  • Using Deep Learning to Investigate Laboratory Astrophysics Experiments Through Collective Thomson Scattering Analysis

    ORAL

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    Presenters

    • Michael Pokornik

      University of California, San Diego, Lawrence Livermore National Laboratory, Livermore, CA

    Authors

    • Michael Pokornik

      University of California, San Diego, Lawrence Livermore National Laboratory, Livermore, CA

    • Mario Manuel

      General Atomics - San Diego

    • Kasper Moczulski

      University of Rochester

    • Petros Tzeferacos

      University of Rochester

    • Frederico Fiuza

      Instituto Superior Tecnico (Portugal)

    • Farhat Beg

      University of California, San Diego, University of California San Diego, Center for Energy Research UC San Diego, San Diego, CA 92093

    • Alexey V Arefiev

      University of California, San Diego

    • E. R Tubman

      Imperial College London, Imperial College, Imperial College London, London, UK

    • David Larson

      Lawrence Livermore Natl Lab

    • Bradley B Pollock

      Lawrence Livermore Natl Lab

    • George F Swadling

      Lawrence Livermore Natl Lab

    • Drew Higginson

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Hye-Sook Park

      LLNL

    View abstract →

  • Computational acceleration of ICF capsule simulations through GPU-enabled plasma-physics modules

    ORAL

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    Presenters

    • Alejandro Campos

      Lawrence Livermore Natl Lab

    Authors

    • Alejandro Campos

      Lawrence Livermore Natl Lab

    • Thomas M Stitt

      Lawrence Livermore National Laboratory

    • Philip Mocz

      Lawrence Livermore National Laboratory

    • Aaron A Skinner

      Lawrence Livermore National Laboratory

    • Arturo Vargas

      Lawrence Livermore National Laboratory

    • Kristi Belcher

      Lawrence Livermore National Laboratory

    • David E Stevens

      Lawrence Livermore National Laboratory

    • John P Grondalski

      Lawrence Livermore Natl Lab

    • Kenneth Weiss

      Lawrence Livermore National Laboratory

    • Robert N Rieben

      Lawrence Livermore Natl Lab

    View abstract →

  • Machine-learning based X-ray spectrometer for High Repetition Rate Analysis of Betatron Radiation

    ORAL

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    Presenters

    • Nicholas F Beier

      University of Alberta

    Authors

    • Nicholas F Beier

      University of Alberta

    • Vigneshvar Senthilkumaran

      University of Alberta

    • Shubho Mohajan

      Univ of Alberta

    • Ester Kriz

      McGill University

    • Ghassan Zeraouli

      Colorado State University, Lawrence Livermore National Laboratory, Colorado State University

    • Sylvain Fourmaux

      INRS-EMT, Institut National de la Recherche Scientifique– Énergie Matériaux et Télécommunications (INRS-EMT), INRS - Energie et Materiaux

    • Francois Legare

      INRS - Energie et Materiaux

    • Tammy Ma

      Lawrence Livermore Natl Lab

    • Amina E Hussein

      University of Alberta, Canada, Univ of Alberta

    View abstract →

  • Optimization of Polar Direct Drive Illumination for Mega-Joule Laser Facilities

    ORAL

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    Publication: We are drafting a publication of the same name to be submitted around the time of the 2023 APS DPP meeting.

    Presenters

    • Duncan Barlow

      Universite de Bordeaux

    Authors

    • Duncan Barlow

      Universite de Bordeaux

    • Arnaud Colaitis

      University of Rochester, LLE

    • Diego Viala

      University of Bordeaux

    • Julien Mathiaud

      Universite de Bordeaux

    • Jean-Luc Feugeas

      Universite de Bordeaux

    • Matthew Streeter

      Queen's University Belfast

    View abstract →

  • Predicting N221204 observables from an ensemble of N210808 simulations

    ORAL

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    Presenters

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    Authors

    • Michael K Kruse

      Lawrence Livermore Natl Lab

    • Eugene Kur

      Lawrence Livermore National Laboratory, LLNL

    • Jim A Gaffney

      Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Brian K Spears

      LLNL

    View abstract →