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Featured researches published by Scott Brandon.


Journal of Computational Physics | 1995

A finite element formulation of the Darwin PIC model for use on unstructured grids

Eric Sonnendrücker; John Ambrosiano; Scott Brandon

In this paper we introduce a new formulation of the Darwin approximation of Maxwells equations and discuss its domain of applicability. We describe our finite element implementation of this model, allowing the use of unstructured grids, and its coupling with a PIC method for the particles.


Physics of Plasmas | 2017

Zonal flow generation in inertial confinement fusion implosions

J. L. Peterson; Kelli Humbird; J. E. Field; Scott Brandon; S. H. Langer; R. Nora; B. K. Spears; P. T. Springer

A supervised machine learning algorithm trained on a multi-petabyte dataset of inertial confinement fusion simulations has identified a class of implosions that robustly achieve high yield, even in the presence of drive variations and hydrodynamic perturbations. These implosions are purposefully driven with a time-varying asymmetry, such that coherent flow generation during hotspot stagnation forces the capsule to self-organize into an ovoid, a shape that appears to be more resilient to shell perturbations than spherical designs. This new class of implosions, whose configurations are reminiscent of zonal flows in magnetic fusion devices, may offer a path to robust inertial fusion.


Statistical Analysis and Data Mining | 2017

Ensemble simulations of inertial confinement fusion implosions

R. Nora; J. L. Peterson; B. K. Spears; J. E. Field; Scott Brandon

The achievement of inertial confinement fusion ignition on the National Ignition Facility relies on the collection and interpretation of a limited (and expensive) set of experimental data. These data are therefore supplemented with state-of-the-art multidimensional radiation-hydrodynamic simulations to provide a better understanding of implosion dynamics and behavior. We present a relatively large number (∼ 4000) of systematically perturbed 2D simulations to probe our understanding of low-mode fuel and ablator asymmetries seeded by asymmetric illumination. We find that Gaussian process surrogate models are able to predict both the total neutron yield and the degradation in performance due to asymmetries. The surrogates are then applied to simulations containing new sources of degradation to quantify the impact of the new source.


Proceedings of the 2nd Workshop on In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization | 2016

A HYDRA UQ workflow for NIF ignition experiments

Steven H. Langer; B. K. Spears; J. Luc Peterson; J. E. Field; R. Nora; Scott Brandon

We describe the use of our in-transit workflow infrastructure to run an ensemble of HYDRA [1] [2] Inertial Confinement Fusion (ICF) simulations in support of experiments conducted using the National Ignition Facility (NIF) laser. We discuss how our approach can be used to gain deeper insight into NIF experiments.We ran over 60,000 2D HYDRA simulations and generated over a billion synthetic x-ray images during 8 weeks on the Trinity Cray XC40 system. These represent a majority of all 2D simulations run during HYDRAs 20 year history. We implemented a producer-consumer in-transit framework to minimize the amount of disk space used to generate synthetic x-ray images. We describe our infrastructure and approach, and explore the scaling and performance issues we ran into. Our goal is to help others plan for large ensemble simulations and discuss changes to system software that would make it easier to run large ensembles.


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 1989

A study of heavy-ion beams during longitudinal compression using particle simulation☆

D. Ho; Scott Brandon

Abstract Particle simulations show that during longitudinal compression there is little growth in beam longitudinal and transverse emittance. Both longitudinal


Physics of Plasmas | 2012

Performance metrics for inertial confinement fusion implosions: Aspects of the technical framework for measuring progress in the National Ignition Campaigna)

B. K. Spears; S.H. Glenzer; M.J. Edwards; Scott Brandon; D. S. Clark; R. P. J. Town; C. Cerjan; R. Dylla-Spears; E. Mapoles; D. H. Munro; J. D. Salmonson; Scott M. Sepke; Steve Weber; S. Hatchett; S. W. Haan; P. T. Springer; E. Moses; John L. Kline; George A. Kyrala; D. C. Wilson


Geoscientific Model Development | 2013

Failure analysis of parameter-induced simulation crashes in climate models

Donald D. Lucas; Richard I. Klein; John Tannahill; D. Ivanova; Scott Brandon; D. Domyancic; Yuying Zhang


Journal of Computational Physics | 1994

Electromagnetics via the Taylor-Galerkin Finite Element Method on Unstructured Grids

John Ambrosiano; Scott Brandon; Rainald Löhner; C. Richard DeVore


ieee international conference on high performance computing data and analytics | 2011

Poster: Data intensive uncertainty quantification: applications to climate modeling

John Tannahill; Donald D. Lucas; David Domyancic; Scott Brandon; Richard I. Klein


Archive | 2010

The Climate Uncertainty Quantification Project at Lawrence Livermore National Laboratory: I. Initial Analysis of the Sensitivities and Uncertainties in the Community Atmosphere Model

John Tannahill; Scott Brandon; Curtis Covey; D. M. Domyancic; Xabier Garaizar; Gardar Johannesson; Richard I. Klein; Donald Lucas; Y.-X. Zhang

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B. K. Spears

Lawrence Livermore National Laboratory

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R. Nora

Lawrence Livermore National Laboratory

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J. E. Field

Lawrence Livermore National Laboratory

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P. T. Springer

Lawrence Livermore National Laboratory

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J. L. Peterson

Lawrence Livermore National Laboratory

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John Ambrosiano

Lawrence Livermore National Laboratory

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John Tannahill

Lawrence Livermore National Laboratory

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Richard I. Klein

Lawrence Livermore National Laboratory

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D. H. Munro

Lawrence Livermore National Laboratory

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