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  4. Simulations of carbon containing semiconductor alloys: bonding, strain compensation, and surface structure
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Simulations of carbon containing semiconductor alloys: bonding, strain compensation, and surface structure

Journal
International Journal of Modern Physics C
Date Issued
March 1998
Author(s)
Kelires, Pantelis C.  
DOI
10.1142/S0129183198000285
Abstract
This paper reviews recent Monte Carlo simulations within the empirical potential approach, which give insights into fundamental aspects of the bulk and surface structure of group-IV semiconductor alloys containing carbon. We focus on the binary Si1 - cursive Greek chi Ccursive Greek chi and ternary Si1 - cursive Greek chi - y Gecursive Greek chiCy alloys strained on silicon substrates. The statistical treatment of these highly strained alloys is made possible by using the semigrand canonical ensemble. We describe here improvements in the algorithm which considerably speed up the method. We show that the identity switches, which are the basic ingredients in this statistical ensemble, must be accompanied by appropriate relaxations of nearest neighbors in order to reach "quasiequilibrium" in metastable systems with large size mismatch between the constituent atoms. This effectively lowers the high formation energies and large barriers for diffusion which make molecular dynamics methods impractical for this problem. The most important findings of our studies are: (a) The prediction of a repulsive Ge-C interaction and of a preferential C-C interaction in the lattice. (b) The prediction for significant deviations of the structural parameters and of the elastic constants from linearly interpolated values (Vegard's law). As a result, for a given amount of carbon, strain compensation is shown to be more drastic than previously thought. (c) Investigation of the surface problem shows that the competition between the reconstruction strain field and the preferential arrangement of carbon atoms leads to new complicated structural patterns.
Subjects

Alloys

Computer simulation

Solubility

Monte Carlo method

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