DocumentCode :
62176
Title :
Statistical Delay Modeling for Single-Electron-Based Circuits
Author :
Ran Xiao ; Chunhong Chen
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
Volume :
13
Issue :
4
fYear :
2014
fDate :
July 1 2014
Firstpage :
676
Lastpage :
686
Abstract :
The electron tunneling within single-electron devices is stochastic in nature, and its timing delay has to be understood in a probabilistic sense. This paper models the delay as a continuous-time Markov process, and presents a statistical method to describe the dynamic characteristics of single-electron circuits for delay estimation. Theoretical analysis and applications are shown to verify the effectiveness of the proposed approach under both low and relatively high temperatures. Some existing simulation methods are also evaluated for comparative study.
Keywords :
Markov processes; Monte Carlo methods; delays; single electron devices; tunnelling; continuous time Markov process; electron tunneling; single electron based circuits; statistical delay modeling; timing delay; Approximation methods; Delays; Gaussian distribution; Integrated circuit modeling; Logic gates; Switches; Tunneling; Delay estimation; Monte Carlo (MC) simulation; single-electron circuit; statistical method; temperature effects;
fLanguage :
English
Journal_Title :
Nanotechnology, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-125X
Type :
jour
DOI :
10.1109/TNANO.2014.2315502
Filename :
6782686
Link To Document :
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