ICF: Analytical and Computational Techniques

Presentations

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

  ORAL

  Oct. 17, 2022, 2:00 PM – Oct. 17, 2022, 2:12 PM

  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

  Oct. 17, 2022, 2:12 PM – Oct. 17, 2022, 2:24 PM

  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

  Oct. 17, 2022, 2:24 PM – Oct. 17, 2022, 2:36 PM

  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

  Oct. 17, 2022, 2:36 PM – Oct. 17, 2022, 2:48 PM

  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

  Oct. 17, 2022, 2:48 PM – Oct. 17, 2022, 3:00 PM

  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

  Oct. 17, 2022, 3:00 PM – Oct. 17, 2022, 3:12 PM

  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 →

• Role of self-generated magnetic fields in the inertial fusion ignition threshold

  ORAL

  Oct. 17, 2022, 3:12 PM – Oct. 17, 2022, 3:24 PM

  Presenters

  • James D Sadler

    • Los Alamos National Laboratory

  Authors

  • James D Sadler

    • Los Alamos National Laboratory

  • Christopher A Walsh

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

  • Ye Zhou

    • Lawrence Livermore Natl Lab

  • Hui Li

    • Los Alamos Natl Lab
    • LANL

  View abstract →

• Robust MJ-class implosions at NIF: a framework and metrics for understanding ICF variability

  ORAL

  Oct. 17, 2022, 3:24 PM – Oct. 17, 2022, 3:36 PM

  Presenters

  • Brian K Spears

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

  Authors

  • Brian K Spears

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

  View abstract →

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

  ORAL

  Oct. 17, 2022, 3:36 PM – Oct. 17, 2022, 3:48 PM

  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

  Oct. 17, 2022, 3:48 PM – Oct. 17, 2022, 4:00 PM

  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 →

• An autoencoder based reduced order model of low density plasma for optimal experimental design

  ORAL

  Oct. 17, 2022, 4:00 PM – Oct. 17, 2022, 4:12 PM

  Presenters

  • Ravi G Patel

    • Sandia National Laboratories

  Authors

  • Ravi G Patel

    • Sandia National Laboratories

  • William E Lewis

    • Sandia National Laboratories

  • Patrick F Knapp

    • Sandia National Laboratories

  View abstract →

• Interface Reconstruction Using Gaussian Processes for Volume of Fluid Methods

  ORAL

  Oct. 17, 2022, 4:12 PM – Oct. 17, 2022, 4:24 PM

  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 →

• Mixed Stochastic-Deterministic Density Functional Theory Within The PAW Formalism: An Efficient Approach To Warm Dense Matter

  ORAL

  Oct. 17, 2022, 4:24 PM – Oct. 17, 2022, 4:36 PM

  Presenters

  • Vidushi Sharma

    • Los Alamos National Laboratory

  Authors

  • Vidushi Sharma

    • Los Alamos National Laboratory

  • Alexander J White

    • Los Alamos National Laboratory

  • Lee A Collins

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

  View abstract →

• Kinetic modeling for strongly coupled plasma mixtures

  ORAL

  Oct. 17, 2022, 4:36 PM – Oct. 17, 2022, 4:48 PM

  Presenters

  • Lucas J Stanek

    • Michigan State University

  Authors

  • Lucas J Stanek

    • Michigan State University

  • Michael S Murillo

    • Michigan State University

  • Jeff R Haack

    • Los Alamos National Laboratory

  View abstract →

• Hydrodynamic Density Functional Theory Description of Strongly-Coupled Plasmas

  ORAL

  Oct. 17, 2022, 4:48 PM – Oct. 17, 2022, 5:00 PM

  Presenters

  • Christopher M Gerlach

    • San Jose State University

  Authors

  • Christopher M Gerlach

    • San Jose State University

  • Michael S Murillo

    • Michigan State University

  • Liam G Stanton

    • San Jose State University

  View abstract →