DocumentCode :
3417219
Title :
Monte Carlo simulation of ion implantation damage process in silicon
Author :
Tian, S. ; Morris, S.J. ; Morris, M. ; Obradovic, B. ; Tasch, A.F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fYear :
1996
fDate :
8-11 Dec. 1996
Firstpage :
713
Lastpage :
716
Abstract :
In this paper is reported for the first time a rigorous physically based ion implantation damage model which successfully predicts both the as-implanted impurity profiles (SIMS) and the damage profiles (RBS) for a wide range of implant conditions for arsenic, boron and BF/sub 2/ implants. In addition, the amorphous layer thicknesses predicted by this new damage model for high dose implants are also in excellent agreement with experimental measurements. This new damage model explicitly simulates the defect production and its subsequent evolution into the experimentally observable profiles. The detailed nature of the new damage model has provided much insight into the fundamental physical processes involved in implantation damage, and could also serve as a basis for further applications such as defect engineering.
Keywords :
Monte Carlo methods; Rutherford backscattering; amorphisation; doping profiles; elemental semiconductors; ion beam effects; ion implantation; secondary ion mass spectra; semiconductor process modelling; silicon; Monte Carlo simulation; RBS; SIMS; Si:As; Si:B; Si:BF/sub 2/; UT-MARLOWE; amorphous layer thicknesses; as-implanted impurity profiles; binary collision approximation; damage profiles; defect engineering; defect production; high dose implants; ion implantation damage process; physical processes; physically based ion implantation damage model; Atomic measurements; Boron; Impurities; Ion implantation; Microelectronic implants; Predictive models; Production; Silicon; Thickness measurement; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electron Devices Meeting, 1996. IEDM '96., International
Conference_Location :
San Francisco, CA, USA
ISSN :
0163-1918
Print_ISBN :
0-7803-3393-4
Type :
conf
DOI :
10.1109/IEDM.1996.554080
Filename :
554080
Link To Document :
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