DocumentCode :
1649765
Title :
Statistical enhancement of combined simulations of RDD and LER variability: What can simulation of a 105 sample teach us?
Author :
Reid, Dave ; Millar, Campbell ; Roy, Gareth ; Roy, Scott ; Asenov, Asen
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Glasgow, Glasgow, UK
fYear :
2009
Firstpage :
1
Lastpage :
4
Abstract :
Using 3D simulations of statistical ensembles of unprecedented size, we have studied statistical threshold voltage variations induced by the combined effects of random dopants and line edge roughness in a state of the art 35 nm MOSFET. Statistical samples of 105 microscopically different transistors have been simulated. Based on careful statistical analysis of the simulation results we have developed statistical enhancement techniques, which deliver a high degree of statistical accuracy at a greatly reduced computational cost.
Keywords :
MOSFET; semiconductor doping; statistical analysis; 3D simulations; LER variability; MOSFET; RDD variability; line edge roughness; random discrete dopant; size 35 nm; statistical enhancement technique; statistical threshold voltage variation; Analytical models; Computational modeling; Gaussian distribution; MOSFET circuits; Microscopy; Probability distribution; Silicon; Statistical analysis; Testing; Threshold voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electron Devices Meeting (IEDM), 2009 IEEE International
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-5639-0
Electronic_ISBN :
978-1-4244-5640-6
Type :
conf
DOI :
10.1109/IEDM.2009.5424241
Filename :
5424241
Link To Document :
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