Graduation date: 2012A hybrid Quasi-diffusion/Monte Carlo Method for solving multigroup criticality problems in slab geometry was investigated. Analog Monte Carlo was used to calculate functionals (Eddington Factors) that were then used in solution of the quasi-diffusion equations. The hybrid method was shown to accurately and precisely predict the k-eigenvalue and fission source distribution for loosely coupled problems with high dominance ratios and significant spatial gradients. The hybrid method was also shown to be computationally more efficient than analog Monte Carlo
Several new hybrid Monte Carlo-deterministic methods based on nonlinear functionals are developed in...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...
This article provides a survey of recent research efforts on the application of quasi-Monte Carlo (Q...
The overall goal of this project is to develop, implement, and test new Hybrid Monte Carlo-determini...
The neutron transport equation is solved by a hybrid method that iteratively couples regions where d...
We present a new hybrid Monte Carlo method for 1-D equilibrium diffusion problems in which the radia...
In this work we investigate replacing standard quadrature techniques used in deterministic linear so...
Criticality calculations use the source iteration method and serve an increasingly prominent role in...
Criticality eigenvalue and power distributions of a medium-sized sodium-cooled fast reactor core wer...
The generation of multigroup neutron cross sections is usually the first step in the solution of rea...
Fission source convergence in Monte Carlo criticality calculations can be difficult for some types o...
International audienceWe propose and test a quasi-Monte Carlo (QMC) method for solving the diffusion...
We present a Multi-Index Quasi-Monte Carlo method for the solution of elliptic partial differential ...
The author of this paper recently proposed a Monte Carlo calculation algorithm to solve a complex tr...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
Several new hybrid Monte Carlo-deterministic methods based on nonlinear functionals are developed in...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...
This article provides a survey of recent research efforts on the application of quasi-Monte Carlo (Q...
The overall goal of this project is to develop, implement, and test new Hybrid Monte Carlo-determini...
The neutron transport equation is solved by a hybrid method that iteratively couples regions where d...
We present a new hybrid Monte Carlo method for 1-D equilibrium diffusion problems in which the radia...
In this work we investigate replacing standard quadrature techniques used in deterministic linear so...
Criticality calculations use the source iteration method and serve an increasingly prominent role in...
Criticality eigenvalue and power distributions of a medium-sized sodium-cooled fast reactor core wer...
The generation of multigroup neutron cross sections is usually the first step in the solution of rea...
Fission source convergence in Monte Carlo criticality calculations can be difficult for some types o...
International audienceWe propose and test a quasi-Monte Carlo (QMC) method for solving the diffusion...
We present a Multi-Index Quasi-Monte Carlo method for the solution of elliptic partial differential ...
The author of this paper recently proposed a Monte Carlo calculation algorithm to solve a complex tr...
We compare nominal efficiencies, i.e. variances in power shapes for equal running time, of different...
Several new hybrid Monte Carlo-deterministic methods based on nonlinear functionals are developed in...
The Monte Carlo response matrix method is used to solve computationally-intensive problems (e.g., la...
This article provides a survey of recent research efforts on the application of quasi-Monte Carlo (Q...