DocumentCode :
438410
Title :
Towards automatic parameter extraction for surface-potential-based MOSFET models with the genetic algorithm
Author :
Murakawa, Masahiro ; Miura-Mattausch, M. ; Higuchi, Tetsuya
Author_Institution :
MIRAI-ASRC, National Adv. Ind. Sci. & Technol. Inst., Tsukuba, Japan
Volume :
1
fYear :
2005
fDate :
18-21 Jan. 2005
Firstpage :
204
Abstract :
In this paper, we present an automatic parameter extraction method with the GA (genetic algorithm) for surface-potential-based MOSFET models such as HiSIM (Hiroshima-university STARC IGFET Model). The method employs a two-stage extraction procedure operating on different sets of model parameters. Experimental results demonstrate that extraction of 34 parameters can be completed within 23 hours with PC (AthlonXP 2500), although this would typically take a human expert several days.
Keywords :
MOSFET; genetic algorithms; semiconductor device models; surface potential; 23 hours; HiSIM; Hiroshima University STARC IGFET model; automatic parameter extraction; genetic algorithm; surface-potential-based MOSFET models; Capacitance; Equations; FETs; Genetic algorithms; Humans; MOSFET circuits; Measurement standards; Parameter extraction; Physics; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2005. Proceedings of the ASP-DAC 2005. Asia and South Pacific
Print_ISBN :
0-7803-8736-8
Type :
conf
DOI :
10.1109/ASPDAC.2005.1466158
Filename :
1466158
Link To Document :
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