DocumentCode
1455777
Title
Monte Carlo simulation of silicon amorphization during ion implantation
Author
Bohmayr, Walter ; Burenkov, Alexander ; Lorenz, Jürgen ; Ryssel, Heiner ; Selberherr, Siegfried
Author_Institution
Integrated Syst. Eng. AG, Zurich, Switzerland
Volume
17
Issue
12
fYear
1998
fDate
12/1/1998 12:00:00 AM
Firstpage
1236
Lastpage
1243
Abstract
We present a new analytical model to predict the spatial location of amorphous phases in ion-implanted single-crystalline silicon using results of multidimensional Monte Carlo simulations. Our approach is based on the concept of the critical damage energy density. Additionally, the self-annealing of radiation damage during ion implantation is taken into account because this effect is crucial for a correct prediction of amorphization. Two aspects of self-annealing are considered, namely, the temperature and the spatial dependence. The latter is related to the local damage energy density, which is simulated by one-, two-, and three-dimensional modules of our Monte Carlo program MCIMPL of the technology CAD framework VISTA. Therefore, the formation and the shape of amorphous regions in single-crystalline silicon can be predicted as a result of Monte Carlo simulations of ion implantation. The suggested model accurately reproduces the results of direct microscopic observations (XTEM measurements) of amorphous layers in silicon after a silicon self-implantation, which are available for a temperature range of 82-296 K
Keywords
Monte Carlo methods; amorphisation; annealing; elemental semiconductors; ion implantation; radiation effects; silicon; technology CAD (electronics); transmission electron microscopy; 82 to 296 K; MCIMPL; Si; VISTA; XTEM measurements; amorphization; critical damage energy density; direct microscopic observations; ion implantation; local damage energy density; multidimensional Monte Carlo simulations; radiation damage; self-annealing; spatial location; technology CAD framework; Amorphous materials; Analytical models; Ion implantation; Microscopy; Monte Carlo methods; Multidimensional systems; Shape; Silicon; Temperature dependence; Temperature distribution;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.736563
Filename
736563
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