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Uncertainty Quantification For Physical and Numerical Diffusion Models In Inertial Confinement Fusion Simulations.

机译：惯性约束融合模拟中物理和数值扩散模型的不确定性量化。

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作者
Rana, Verinder S.;
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作者单位

State University of New York at Stony Brook.;

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授予单位 State University of New York at Stony Brook.;
学科 Applied mathematics.;Plasma physics.
学位 Ph.D.
年度 2016
页码 119 p.
总页数 119
原文格式 PDF
正文语种 eng
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1. A review of Vlasov-Fokker-Planck numerical modeling of inertial confinement fusion plasma [J] . Thomas A.G.R., Tzoufras M., Robinson A.P.L., Journal of Computational Physics . 2012,第3期

机译：惯性约束聚变等离子体的Vlasov-Fokker-Planck数值模型综述
2. A unified modeling approach for physical experiment design and optimization in laser driven inertial confinement fusion [J] . Li Haiyan, Huang Yunbao, Jiang Shaoen, Fusion Engineering and Design . 2015,第NOVa期

机译：激光驱动惯性约束聚变物理实验设计与优化的统一建模方法
3. Theoretical quantification of shock-timing sensitivities for direct-drive inertial confinement fusion implosions on OMEGA [J] . Cao D., Boehly T. R., Gregor M. C., Physics of plasmas . 2018,第5aPta1期

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4. Aperture design and numerical reconstruction technique requirements for high-resolution imaging of neutrons in inertial confinement fusion (ICF) [C] . Olivier Delage, Commissariat a lEnergie Atomique, Bourg la Reine, Conference on applications of digital image processing . 1998

机译：惯性约束聚变（ICF）中子高分辨率成像的孔径设计和数值重建技术要求
5. A novel method for modeling the neutron time of flight (nTOF) detector response in current mode to inertial confinement fusion experiments [D] . Nelson, Alan John 2011

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6. Uncertainty quantification in modeling of microfluidic T-sensor based diffusion immunoassay [O] . Aman Kumar Jha, Supreet Singh Bahga 2016

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7. Numerical simulations of the ablative Rayleigh-Taylor instability in planar inertial-confinement-fusion targets using the FastRad3D code [O] . J. W. Bates, A. J. Schmitt, M. Karasik, 2016

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8. Inertial Confinement Fusion at Los Alamos. Volume 1, Progress in Inertial Confinement Fusion since 1985. [R] . Cartwright, D. C. 1989

机译：洛斯阿拉莫斯的惯性约束融合。第1卷，自1985年以来惯性约束聚变的进展。

Uncertainty Quantification For Physical and Numerical Diffusion Models In Inertial Confinement Fusion Simulations.

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