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

2013 ◽  
Vol 740-742 ◽  
pp. 393-396
Author(s):  
Maxim N. Lubov ◽  
Jörg Pezoldt ◽  
Yuri V. Trushin

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.

Author(s):  
Paramita Ghosh ◽  
Nidhi Gupta ◽  
Monika Dhankhar ◽  
Madhav Ranganathan

The self-organization of germanium islands on a silicon (001) substrate is studied using a lattice--based kinetic Monte Carlo simulation. These islands form spontaneously via Stranski-Krastanov mode during growth. The interplay...


2007 ◽  
Vol 121-123 ◽  
pp. 1149-1152
Author(s):  
D.M. Wang ◽  
Z.J. Ding

The behavior of island shape transition and nucleus density evolution in the early stage of epitaxial growth mediated by a monolayer of surfactant is studied by using a kinetic Monte Carlo simulations. The main kinetic processes included in the model are deposition, diffusion of atoms, exchange of adatoms with their underneath surfactant atoms, and reexchange in which an exchanged adatom resurfaces to the top of the surfactant layer. The simulation produces pattern transitions from small compact islands at low temperatures, to fractal-like islands at intermediate temperatures where the deposited adatoms can be easily incorporated into the surfactant layer, and then to regular compact islands at high temperatures where the reexchange becomes active. The island density as a function of temperature exhibits a complex N-shape. These results provide a reasonable explanation for the observed temperature dependence of the growth mode in existing experiments.


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