DocumentCode :
2376655
Title :
An automated methodology to diagnose geometric defect in the EEPROM cell
Author :
Portal, J.M. ; Forli, L. ; Aziza, H. ; Née, D.
Author_Institution :
CNRS, Marseille, France
fYear :
2002
fDate :
2002
Firstpage :
31
Lastpage :
36
Abstract :
The objective of this paper is to present an automated geometric defect diagnosis methodology for EEPROM cell (AGDE). This method focuses on speeding up the diagnosis process of geometric defects. It is based on a mathematical model generated with a "design of simulation" (DOS) technique. The DOS technique takes as input, simulations results of a floating gate transistor with different given geometries and produces, as output, a polynomial equation of the threshold voltage in function of the cell\´s geometric parameters. The diagnosis process is realized by comparing the measured threshold voltages of an EEPROM cell with the dynamically computed ones. From this comparison, the potentially defective geometric parameters are automatically extracted.
Keywords :
EPROM; circuit simulation; failure analysis; fault diagnosis; integrated circuit modelling; integrated circuit reliability; integrated circuit testing; integrated memory circuits; polynomials; DOS technique; EEPROM cell automated geometric defect diagnosis methodology; automatically extracted defective geometric parameters; cell geometric parameters; design of simulation technique; diagnosis process speed; dynamically computed threshold voltages; floating gate transistor geometries; mathematical model; measured threshold voltages; threshold voltage polynomial equation; Computational modeling; Context modeling; EPROM; Mathematical model; Nonvolatile memory; Polynomials; Portals; Solid modeling; Threshold voltage; Tunneling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Conference, 2002. Proceedings. International
ISSN :
1089-3539
Print_ISBN :
0-7803-7542-4
Type :
conf
DOI :
10.1109/TEST.2002.1041742
Filename :
1041742
Link To Document :
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