DocumentCode :
1044558
Title :
Defect generation statistics in thin gate oxides
Author :
Ielmini, Daniele ; Spinelli, Alessandro S. ; Lacaita, Andrea L. ; Van Duuren, Michiel J.
Author_Institution :
Dipt. di Elettronica a Informazione, Politecnico di Milano, Milan, Italy
Volume :
51
Issue :
8
fYear :
2004
Firstpage :
1288
Lastpage :
1295
Abstract :
We analyze data-retention experiments for flash memory arrays with thin tunnel oxide (tox = 5 nm). These samples show an additional conduction mechanism besides Fowler-Nordheim tunneling and stress-induced leakage current (SILC). The additional leakage contribution is analyzed with respect to the spatial distribution in the array and the shape of the current-voltage characteristics, and is interpreted as an anomalous SILC due to a two-trap leakage path. From the cycling dependence of the distribution tails related to one- and two-trap leakage, we provide evidence that the defect generation statistics is not Poissonian, but is instead correlated. Possible physical mechanisms responsible for correlated generation are also discussed.
Keywords :
Poisson distribution; defect states; electric breakdown; flash memories; leakage currents; statistical analysis; tunnelling; 5 nm; Fowler-Nordheim tunneling; conduction mechanism; current-voltage characteristics; data-retention experiments; defect generation statistics; distribution tails cycling dependence; flash memory arrays; one-trap leakage; stress-induced leakage current; thin gate oxides; thin tunnel oxide; two-trap leakage path; Data analysis; Electric breakdown; Flash memory; Leakage current; Nonvolatile memory; Shape; Statistical analysis; Statistics; Tail; Tunneling; Defect generation; Flash memories; leakage currents;
fLanguage :
English
Journal_Title :
Electron Devices, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9383
Type :
jour
DOI :
10.1109/TED.2004.832104
Filename :
1317151
Link To Document :
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