Title of article :
A new example of the diffusion-limited aggregation: Ni–Cu film patterns
Author/Authors :
Hakan Kockar، نويسنده , , Mehmet Bayirli، نويسنده , , Mursel Alper، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
5
From page :
2995
To page :
2999
Abstract :
The mechanism of the growth of the dendrites in the Ni–Cu films is studied by comparing them with the aggregates obtained by Monte Carlo (MC) simulations according to the diffusion-limited aggregation (DLA) model. The films were grown by electrodeposition. The structural analysis of the films carried out using the x-ray diffraction showed that the films have a face-centered cubic structure. Scanning electron microscope (SEM) was used for morphological observations and the film compositions were determined by energy dispersive x-ray spectroscopy. The observed SEM images are compared with the patterns obtained by MC simulations according to DLA model in which the sticking probability, P between the particles is used as a parameter. For all samples between the least and the densest aggregates in the films, the critical exponents of the density–density correlation functions, α were within the interval 0.160 ± 0.005–0.124 ± 0.006, and the fractal dimensions, Df, varies from 1.825 ± 0.006 to 1.809 ± 0.008 according to the method of two-point correlation function. These values are also verified by the mass-radius method. The pattern with α and Df within these intervals was obtained by MC simulations to DLA model while the sticking probability, P was within the interval from 0.35 to 0.40 obtained by varying P (1–0.001). The results showed that the DLA model in this binary system is a possible mechanism for the formation of the ramified pattern of Ni–Cu within the Ni-rich base part of the Ni–Cu films due to the diffusive characteristics of Cu.
Keywords :
Electrodepositing , Ferromagnetic thin film growth , Fractal dimension , Monte Carlo simulations
Journal title :
Applied Surface Science
Serial Year :
2010
Journal title :
Applied Surface Science
Record number :
1011915
Link To Document :
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