Computer simulation of cluster-size distributions in nucleation and growth processes

In this paper, we report on granular Co/Ag monolayers grown by MBE on MgO(100). The clusters sizes and distribution are governed by nucleation and growth processes onto the surface. By a careful fitting of the giant magnetoresistance, using a Langevin formalism that relies solely on the number of Bohr’s magnetons in the superparamagnetic clusters, we infer their size distribution and its dependence on cobalt content. In Co 20 Ag 80, clusters sizes found range from 13 to 206 atoms, while in Co 60 Ag 40 they range from 40 to 3200, with the bigger clusters having sizes comparable to the total thickness of the samples. Also, by measuring the size of the effective clusters as function of temperature, we can estimate their blocking temperature and anisotropy constant.

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Martensite Spread: Analytical Modeling and Computer Simulation

Materials Science Forum ◽

10.4028/www.scientific.net/msf.783-786.2182 ◽

2014 ◽

Vol 783-786 ◽

pp. 2182-2187 ◽

Cited By ~ 2

Author(s):

Paulo Rangel Rios ◽

Gustavo da Silva Drumond ◽

Tiago Neves ◽

José Roberto Costa Guimarães

Keyword(s):

Computer Simulation ◽

Analytical Methods ◽

Martensite Transformation ◽

Stochastic Geometry ◽

Analytical Modeling ◽

Nucleation And Growth ◽

Nucleation Event ◽

Growth Processes ◽

Formal Kinetics ◽

Single Grain

In bulk polycrystals, the ﬁrst nucleation event in a single grain may induce transformationin neighboring grains, resulting in a cluster of partially transformed grains. This cluster of partiallytransformed grains is normally designated as a ‘spread event’. The collection of these single spreadevents can be deﬁned as the ‘spread’or ‘martensite spread’. In this paper we show how the martensitespreadmay be well described by formal kinetics. Spread taking place as a result of athermalmartensitetransformation, isothermal martensite transformation and even martensite burst are analyzed with thehelp of such a methodology. Formal kinetics is essentially based on a stochastic geometry approach ofthe transformations considered as nucleation and growth (or birth-and-growth ) processes. Therefore,the success of such an analysis strongly suggests the possibility of a computer simulation of the spreadentirely based on probabilistic considerations. Such a simulation has been carried out and the resultsare discussed in this paper with reference to the results obtained by the analytical methods.

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The cluster-size distribution in nucleation and growth processes: Diffusion controlled vs. interface limited growth

Scripta Metallurgica et Materialia ◽

10.1016/0956-716x(92)90677-7 ◽

1992 ◽

Vol 26 (6) ◽

pp. 889-894 ◽

Cited By ~ 6

Author(s):

I. Orgzall ◽

B. Lorenz

Keyword(s):

Size Distribution ◽

Cluster Size ◽

Nucleation And Growth ◽

Cluster Size Distribution ◽

Limited Growth ◽

Growth Processes ◽

Diffusion Controlled

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Modeling of dynamic failure by nucleation and growth processes

Journal de Physique IV (Proceedings) ◽

10.1051/jp4:20009137 ◽

2000 ◽

Vol 10 (PR9) ◽

pp. Pr9-829-Pr9-834

Author(s):

S. Hanim ◽

S. Ahzi

Keyword(s):

Nucleation And Growth ◽

Dynamic Failure ◽

Growth Processes

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Kinetic Monte Carlo Simulation of Impurity Effects on Nucleation and Growth of SiC Clusters on Si(100)

Materials Science Forum ◽

10.4028/www.scientific.net/msf.740-742.393 ◽

2013 ◽

Vol 740-742 ◽

pp. 393-396

Author(s):

Maxim N. Lubov ◽

Jörg Pezoldt ◽

Yuri V. Trushin

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Cluster Size ◽

Kinetic Monte Carlo ◽

Nucleation And Growth ◽

Nucleation Density ◽

Nucleation Process ◽

Impurity Effects ◽

Kinetic Monte Carlo Simulations ◽

The Mean

The influence of attractive and repulsive impurities on the nucleation process of the SiC clusters on Si(100) surface was investigated. Kinetic Monte Carlo simulations of the SiC clusters growth show that that increase of the impurity concentration (both attractive and repulsive) leads to decrease of the mean cluster size and rise of the nucleation density of the clusters.

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