DocumentCode :
1002592
Title :
Statistical Model for Random Telegraph Noise in Flash Memories
Author :
Compagnoni, Christian Monzio ; Gusmeroli, Riccardo ; Spinelli, Alessandro S. ; Lacaita, Andrea L. ; Bonanomi, Mauro ; Visconti, Angelo
Author_Institution :
Politecnico di Milano, Milan
Volume :
55
Issue :
1
fYear :
2008
Firstpage :
388
Lastpage :
395
Abstract :
This paper presents a new physics-based statistical model for random telegraph noise in Flash memories. From the probabilistic superposition of elementary Markov processes describing the trapping/detrapping events taking place in the cell tunnel oxide, the model can explain the main features of the random telegraph noise threshold-voltage instability. The results on the statistical distribution of the threshold-voltage difference between two subsequent read accesses show good agreement between measurements and model predictions, even considering the time drift of the distribution tails. Moreover, the model gives a detailed spectroscopic analysis of the oxide defects responsible for the random telegraph noise, allowing a spatial and energetic localization of the traps involved in the threshold-voltage instability process.
Keywords :
Markov processes; flash memories; semiconductor device noise; statistical distributions; cell tunnel oxide; elementary Markov process; flash memories; physics-based statistical model; probabilistic superposition; random telegraph noise; spectroscopic analysis; statistical distribution; threshold-voltage instability; trapping-detrapping events; Flash memory; Fluctuations; Markov processes; Predictive models; Semiconductor device noise; Spectroscopy; Statistical distributions; Substrates; Telegraphy; Time measurement; Flash memories; random telegraph noise (RTN); semiconductor-device modeling; threshold-voltage instability;
fLanguage :
English
Journal_Title :
Electron Devices, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9383
Type :
jour
DOI :
10.1109/TED.2007.910605
Filename :
4399663
Link To Document :
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