The diffusion-based growth of islands composed of clusters of metal atoms on a substrate is considered in the aggregation regime. A stochastic approach is proposed to describe the dynamics of island growth based on a Langevin equation with multiplicative noise. The distribution of island sizes, obtained as a solution of the corresponding Fokker-Planck equation, is derived. The time-dependence of island growth on its fractal dimension is analysed. The effect of mobility of the small islands on the growth of large islands is considered. Numerical simulations are in a good agreement with theoretical results.

Kargovsky, A., Anashkina, E., Chichigina, O., Valenti, D., Spagnolo, B. (2016). Stochastic model for the epitaxial growth of two-dimensional islands in the submonolayer regime. JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2016(3), 1-21 [10.1088/1742-5468/2016/03/033211].

Stochastic model for the epitaxial growth of two-dimensional islands in the submonolayer regime

Anashkina, Ekaterina;VALENTI, Davide;SPAGNOLO, Bernardo
2016-01-01

Abstract

The diffusion-based growth of islands composed of clusters of metal atoms on a substrate is considered in the aggregation regime. A stochastic approach is proposed to describe the dynamics of island growth based on a Langevin equation with multiplicative noise. The distribution of island sizes, obtained as a solution of the corresponding Fokker-Planck equation, is derived. The time-dependence of island growth on its fractal dimension is analysed. The effect of mobility of the small islands on the growth of large islands is considered. Numerical simulations are in a good agreement with theoretical results.
2016
Kargovsky, A., Anashkina, E., Chichigina, O., Valenti, D., Spagnolo, B. (2016). Stochastic model for the epitaxial growth of two-dimensional islands in the submonolayer regime. JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT, 2016(3), 1-21 [10.1088/1742-5468/2016/03/033211].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/205183
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