Title :
Accurate Statistical Description of Random Dopant-Induced Threshold Voltage Variability
Author :
Millar, Campbell ; Reid, David ; Roy, Gareth ; Roy, Scott ; Asenov, Asen
Author_Institution :
Dept. of Electron. & Electr. Eng., Glasgow Univ., Glasgow
Abstract :
We have studied the detailed threshold voltage distribution in a state-of-the-art n-channel MOSFET in the presence of random discrete dopants. A ground-breaking sample of 100 000 transistors with statistically unique random dopant distributions were simulated using the Glasgow 3-D device simulator and advanced grid computing technologies. The results indicate that the threshold voltage distribution deviates substantially from a Gaussian distribution, which may have significant implications for the margins used in circuit design, particularly in SRAM cells.
Keywords :
MOSFET; circuit CAD; random processes; statistical distributions; voltage distribution; Glasgow 3D device simulator; grid computing technology; integrated circuit design; metal-oxide-semiconductor field effect transistors; n-channel MOSFET; random discrete dopant; random dopant distribution; threshold voltage distribution; threshold voltage variability; Circuit simulation; Computational modeling; Doping profiles; Grid computing; MOSFET circuits; Probability distribution; Shape; Statistical distributions; Threshold voltage; Transistors; Atomistic simulation; MOSFET; random dopants; statistics; threshold voltage fluctuations;
Journal_Title :
Electron Device Letters, IEEE
DOI :
10.1109/LED.2008.2001030