Title :
Statistical Variability in Fully Depleted SOI MOSFETs Due to Random Dopant Fluctuations in the Source and Drain Extensions
Author :
Markov, Stanislav ; Cheng, Binjie ; Asenov, Asen
Author_Institution :
Device Modelling Group, Univ. of Glasgow, Glasgow, UK
fDate :
3/1/2012 12:00:00 AM
Abstract :
Simulations of up to 10 000 fully depleted thin-body silicon-on-insulator MOSFETs show that the standard deviation of the threshold voltage cannot be adequately used as a sole metric of device variability in such transistors. This is due to a sharp departure from normality of the threshold voltage distribution, and an enhanced influence of the source/drain-dopant fluctuations on the on-current and short-channel effects of the fully depleted thin-body silicon-on-insulator transistors. Both aspects have great ramifications for statistical compact models and for low-power SRAM designs.
Keywords :
MOSFET; SRAM chips; low-power electronics; semiconductor device models; silicon-on-insulator; MOSFET; drain extensions; low-power SRAM designs; random dopant fluctuations; short-channel effects; silicon-on-insulators; source extensions; source-drain-dopant fluctuations; statistical device variability; threshold voltage distribution; CMOS integrated circuits; Correlation; Logic gates; MOSFETs; Resource description framework; Threshold voltage; Fully depleted silicon-on-insulator (SOI); random dopant fluctuations; statistical device variability;
Journal_Title :
Electron Device Letters, IEEE
DOI :
10.1109/LED.2011.2179114