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Dynamic Monte Carlo method

In chemistry, dynamic Monte Carlo (DMC) is a Monte Carlo method for modeling the dynamic behaviors of molecules by comparing the rates of individual… Expand
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Computational chemistry
Computational resourceComputer memoryGillespie algorithmHybrid Monte Carlo
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Papers overview

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2013
2013
The Dynamic Monte Carlo Method for Transient Analysis of Nuclear Reactors
In this thesis a new method for the analysis of power transients in a nuclear reactor is developed, which is more accurate than… Expand
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2012
2012
General purpose dynamic Monte Carlo with continuous energy for transient analysis
For safety assessments transient analysis is an important tool. It can predict maximum temperatures during regular reactor… Expand
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2011
2011
A Monte Carlo Method for Calculation of the Dynamic Behaviour of Nuclear Reactors
In safety calculations of nuclear reactors, dynamic calculations are of great interest. This type of calculation is mainly done… Expand
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2011
2011
IMPLEMENTATION OF THE DYNAMIC MONTE CARLO METHOD FOR TRANSIENT ANALYSIS IN THE GENERAL PURPOSE CODE TRIPOLI
A new Dynamic Monte Carlo method is implemented in the general purpose Monte Carlo code Tripoli4.6.1. With this new method… Expand
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2010
2010
Calculation of Effective Multiplication Factor with Dynamic Monte Carlo Method
The dynamic method of effective multiplication factor k_(eff) calculation is discussed and the dynamic Monte Carlo code based on… Expand
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2005
2005
Theoretical study of the influence of confinement and channel blocking on adsorption and diffusion of n-butane in silicalite-1
Dynamic Monte Carlo simulations for the open coarse-grained model of MFI type zeolite were used to study the dynamics of… Expand
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1999
1999
CO-oxidation model with superlattice ordering of adsorbed oxygen. I. Steady-state bifurcations
We analyze a model for CO oxidation on surfaces which incorporates both rapid diffusion of adsorbed CO, and superlattice ordering… Expand
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Highly Cited
1998
Highly Cited
1998
Monte carlo simulation of soot aggregation with simultaneous surface growth-why primary particles appear spherical
Soot aggregation with simultaneous surface growth was modeled using a dynamic Monte Carlo method. Simulations were performed in… Expand
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1997
1997
Bayesian estimation of parameters of a damped sinusoidal model by a Markov chain Monte Carlo method
A dynamic Monte Carlo method is proposed to compute the posterior means and covariances of the parameters of a damped sinusoidal… Expand
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1994
1994
Dynamics of star branched polymers in a matrix of linear chains—a Monte Carlo study
SUMMARY A simple cubic lattice model of the melt of 3-arm star-branched polymers of various length dissolved in a matrix of long… Expand
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