DocumentCode
1115529
Title
Statistical simulations for flash memory reliability analysis and prediction
Author
Larcher, Luca ; Pavan, Paolo
Author_Institution
Dipt. di Sci. e Metodi dell´´Ingegneria & INFM, Univ. di Modena e Reggio Emilia, Italy
Volume
51
Issue
10
fYear
2004
Firstpage
1636
Lastpage
1643
Abstract
In this paper, through the use of a recently proposed statistical model of stress-induced leakage current, we will investigate the reliability of actual flash memory technologies and predict future trends. We investigate either program disturbs (namely gate and drain disturbs) and data retention of state-of-the-art flash memory cells and use this model to correlate the induced threshold voltage shift to the typical outputs coming from oxide characterization, that are density, cross section, and energy level of defects. Physical mechanisms inducing the largest threshold voltage (VT) degradation will be identified and explained. Furthermore, we predict the effects of tunnel oxide scaling on flash memory data retention, giving a rule of thumb to scale the tunnel oxide while maintaining the same retention requirements.
Keywords
failure analysis; flash memories; integrated circuit modelling; integrated circuit reliability; integrated memory circuits; semiconductor storage; statistical analysis; device simulations; drain disturbs; flash memories; flash memory cells; flash memory data retention; flash memory reliability analysis; flash memory reliability prediction; gate disturbs; oxide characterization; semiconductor device reliability; semiconductor memories; statistical model; statistical simulations; stress-induced leakage current; threshold voltage shift; tunnel oxide scaling; Analytical models; Current measurement; Degradation; Failure analysis; Flash memory; Flash memory cells; Leakage current; Predictive models; Stress measurement; Threshold voltage; Device simulations; Flash memories; semiconductor device reliability; semiconductor memories;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2004.835023
Filename
1337175
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