DocumentCode :
2700129
Title :
Origin of NBTI variability in deeply scaled pFETs
Author :
Kaczer, B. ; Grasser, T. ; Roussel, Ph J. ; Franco, J. ; Degraeve, R. ; Ragnarsson, L.-A. ; Simoen, E. ; Groeseneken, G. ; Reisinger, H.
Author_Institution :
IMEC, Leuven, Belgium
fYear :
2010
fDate :
2-6 May 2010
Firstpage :
26
Lastpage :
32
Abstract :
The similarity between Random Telegraph Noise and Negative Bias Temperature Instability (NBTI) relaxation is further demonstrated by the observation of exponentially-distributed threshold voltage shifts corresponding to single-carrier discharges in NBTI transients in deeply scaled pFETs. A SPICE-based simplified channel percolation model is devised to confirm this behavior. The overall device-to-device ΔVth distribution following NBTI stress is argued to be a convolution of exponential distributions of uncorrelated individual charged defects Poisson-distributed in number. An analytical description of the total NBTI threshold voltage shift distribution is derived, allowing, among other things, linking its first two moments with the average number of defects per device.
Keywords :
Poisson distribution; field effect transistors; SPICE-based simplified channel percolation model; deeply scaled pFET; exponentially-distributed threshold voltage shifts; negative bias temperature instability relaxation; uncorrelated individual charged defects Poisson-distribution; Dynamic equilibrium; Exponential distribution; FETs; Joining processes; Negative bias temperature instability; Niobium compounds; Stress; Telegraphy; Threshold voltage; Titanium compounds; Negative Bias Temperature Instability; Random Dopant Fluctuations; Random Telegraph Noise; pFET; variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability Physics Symposium (IRPS), 2010 IEEE International
Conference_Location :
Anaheim, CA
ISSN :
1541-7026
Print_ISBN :
978-1-4244-5430-3
Type :
conf
DOI :
10.1109/IRPS.2010.5488856
Filename :
5488856
Link To Document :
بازگشت