DocumentCode :
138929
Title :
An accurate prediction for as-implanted doping profile calibration using different ion implantation models
Author :
Ningaraju, Vivek ; Jati, B. L. Pradhana ; Gene Sheu ; Jun Bo Wang ; Subramanya, J. ; Amanullah, Mohammed ; Sharma, Arvind Kumar ; Shao-Ming Yang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Asia Univ., Taichung, Taiwan
fYear :
2014
fDate :
24-25 March 2014
Firstpage :
408
Lastpage :
412
Abstract :
The simulation tool is very important to develop process and design a new device structures. Device characteristics and physics phenomena also can be analyzed and predicted using this tool. But, it also have the limitation such us the physical model to describe the nature behaviours accurately. Selecting the models should be defined correctly. One of the critical processes is ion implantation because it is important to make a junction and determine the breakdown. For getting accurate results, the doping concentration profile in simulation should be calibrated with experiment, like Secondary Ion Mass Spectrometry (SIMS) profile. In this paper, Taurus analytical and Monte Carlo ion implantation model was investigated. The calibration will be difficult by using Taurus Analytical default Model. Using Taurus model by calibrating parameter can give a good agreement SIMS. Monte Carlo ion implantation model generally can give good profile prediction without calibration.
Keywords :
Monte Carlo methods; calibration; doping profiles; ion implantation; semiconductor device breakdown; semiconductor doping; semiconductor process modelling; Monte Carlo ion implantation model; Taurus analytical model; as-implanted doping profile calibration; calibrating parameter; doping concentration profile; semiconductor device breakdown; semiconductor device junction; Analytical models; Educational institutions; Implants; Ion implantation; Monte Carlo methods; Semiconductor process modeling; Silicon; Monte Carlo implantation model; SIMS; Taurus Analytical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
Type :
conf
DOI :
10.1109/PEOCO.2014.6814463
Filename :
6814463
Link To Document :
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