DocumentCode :
3484105
Title :
An electronic stopping power model for Monte Carlo and molecular dynamics simulation of ion implantation into silicon
Author :
Cai, David ; Grønbech-Jensen, Niels ; Snell, Charles M. ; Beardmore, Keith M. ; Tasch, Al F. ; Morris, Steven
Author_Institution :
Div. of Theor., Los Alamos Nat. Lab., NM, USA
fYear :
1996
fDate :
16-21 Jun 1996
Firstpage :
543
Lastpage :
546
Abstract :
We develop a phenomenological model of electronic stopping power for modeling the physics of ion implantation into crystalline silicon. In the framework of effective charge theory, this electronic stopping power for an ion is factorized into (i) a globally averaged effective charge taking into account effects of close and distant collisions by target electrons with the ion, and (ii) a local charge density dependent electronic stopping power for a proton. This model is implemented into both molecular dynamics and Monte Carlo simulations. There is only one free parameter in the model, namely, the one electron radius rs 0 for unbound electrons. By fine tuning this parameter, it is shown that the model can work successfully for both boron and arsenic implants. We report that the results of the dopant profile simulation for both species are in excellent agreement with the experimental profiles measured by secondary-ion mass spectroscopy (SIMS) over a wide range of energies and with different incident directions. This model also provides a good physically-based damping mechanism for molecular dynamics simulations in the electronic stopping power regime, as evidenced by the striking agreement of dopant profiles calculated in the molecular dynamics simulations with the SIMS data
Keywords :
Monte Carlo methods; arsenic; boron; doping profiles; elemental semiconductors; ion implantation; molecular dynamics method; secondary ion mass spectra; semiconductor process modelling; silicon; As implants; B implants; Monte Carlo simulation; SIMS; Si:As; Si:B; crystalline Si; dopant profile simulation; effective charge; electronic stopping power model; ion implantation; local charge density; molecular dynamics simulation; one electron radius; phenomenological model; physically-based damping mechanism; secondary-ion mass spectroscopy; unbound electrons; Boron; Crystallization; Electrons; Ion implantation; Monte Carlo methods; Physics; Protons; Semiconductor process modeling; Silicon; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ion Implantation Technology. Proceedings of the 11th International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
0-7803-3289-X
Type :
conf
DOI :
10.1109/IIT.1996.586437
Filename :
586437
Link To Document :
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