Modeling of Growth Processes of Nanostructures by Monte Carlo Method
Journal Title: Фізика і хімія твердого тіла - Year 2014, Vol 15, Issue 1
Abstract
Considered one of the basic numerical methods for modeling the processes of evolution systems with many particles - Monte Carlo. A survey of two algorithms implement Monte Carlo: Metropolis and planning events on the timeline. A new algorithm using cellular automata, temperature level is set by the number of existing connections between neighboring, time corresponds to the number of complete cycles of passage for all particles. The simulation of two-dimensional systems with rigid boundary conditions and different initial concentrations of atoms are made. Dependence forms nanoclusters that formed on the choice of the type of kinematic correlations of the ensemble of atoms are shown.
Authors and Affiliations
Y. P. Saliy, M. V. Kotyk
Keywords
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