Time step length versus efficiency of Monte Carlo burnup calculations
Author:
Publisher
Elsevier BV
Subject
Nuclear Energy and Engineering
Reference11 articles.
1. Nucl. Reactor Theory;Bell,1970
2. General solution of Bateman equations for nuclear transmutations;Cetnar;Ann. Nucl. Energy,2006
3. Numerical stability of existing Monte Carlo burnup codes in cycle calculations of critical reactors;Dufek;Nucl. Sci. Eng.,2009
4. The stochastic implicit Euler method – a stable coupling scheme for Monte Carlo burnup calculations;Dufek;Ann. Nucl. Energy,2013
5. Numerical stability of the predictor–corrector method in Monte Carlo burnup calculations of critical reactors;Dufek;Ann. Nucl. Energy,2013
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1. OPTIMISATION OF MONTE CARLO BURNUP SIMULATIONS;EPJ Web of Conferences;2021
2. Optimal time step length and statistics in Monte Carlo burnup simulations;Annals of Nuclear Energy;2020-05
3. An Unsplit Monte-Carlo solver for the resolution of the linear Boltzmann equation coupled to (stiff) Bateman equations;Journal of Computational Physics;2018-02
4. Estimating the effects of homogenized fuel temperature in group constant generation using Serpent 2;Annals of Nuclear Energy;2017-07
5. Parametric studies of the PWR fuel assembly modeling with Monte-Carlo method;Annals of Nuclear Energy;2016-08
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