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Uncertainty Quantification and Sensitivity Analysis for Inertial Confinement Fusion Simulations

During the numerical modeling of inertial confinement fusion (ICF) simulations, the modeler is faced with uncertainty assigning values to parameters that are difficult to estimate. As a result, the uncertainties that are introduced into the numerical modeling result in uncertainty in the solution.  To illustrate this process, we use the University of Chicago High Energy Density Physics code called FLASH to simulate a DT laden capsule in an ICF like setting, for which good quality experimental data is available. In the first stage, we implement transport models based off of molecular dynamics simulations for weakly and strongly coupled plasma regimes. These models included mass diffusion, viscous diffusion and thermal conduction. In the second stage, we vary several input parameters within a range of reasonable values and compare the results to our baseline simulation and observed experimental values. The results of the plasma transport models, considered jointly, provide a clearer picture of the uncertainty and the sensitivity in our current simulations of ICF pellets.

Bio

Verinder S. Rana is a PhD student in the Applied Mathematics and Statistics department, originally from New York City, New York. This fall he will receive his PhD in Applied Mathematics and Statistics with a concentration in Computational Applied Mathematics. During his time at Stony Brook University he has trained to perform highly in the computational sciences field. It is his motivation and drive that sets him apart from anybody else. Verinder is also passionate about technology and has experimented and developed on different computer architectures. When Verinder is not developing applications, he enjoys the arts and reading about geo political strategies and the impact of high energy density physics on weapons development.

Speaker

Verinder S. Rana

Date

Wednesday, September 28, 2016

Time

1:15 pm - 2:15 pm

Location

IACS Seminar Room