1997
DOI: 10.1109/16.595942
|View full text |Cite
|
Sign up to set email alerts
|

Thin oxide thickness extrapolation from capacitance-voltage measurements

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

1999
1999
2013
2013

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 39 publications
(14 citation statements)
references
References 21 publications
0
14
0
Order By: Relevance
“…Oxide thickness was determined from capacitance-voltage (C -V) characteristics using quantum-mechanical ͑QM͒ simulations 18,19 or the McNutt/Sah extrapolation method. 20 Thickness values cited here are determined from the McNutt/ Sah approach which gives numbers that are 0.4 nm thicker than those deduced from the QM simulations.…”
Section: Methodsmentioning
confidence: 99%
“…Oxide thickness was determined from capacitance-voltage (C -V) characteristics using quantum-mechanical ͑QM͒ simulations 18,19 or the McNutt/Sah extrapolation method. 20 Thickness values cited here are determined from the McNutt/ Sah approach which gives numbers that are 0.4 nm thicker than those deduced from the QM simulations.…”
Section: Methodsmentioning
confidence: 99%
“…Several attempts have been made to determine it from current-voltage (I -V) characteristics. [9][10][11][12][13] More recently, it has become possible to deduce other device parameters such as the SiO 2 conduction-band effective mass [14][15][16][17] or the gate-oxide thickness, [18][19][20][21][22] from I -V measurements.…”
Section: Introductionmentioning
confidence: 99%
“…There is no exact analytical solution for the Fermi integral, so either a wide-range analytical approximation is used, such as that given by in Blakemore,13 or an iterative solution is employed, such as the rational Chebyshev approximation described by Cody and Thatcher 14 which was used previously by Walstra and Sah 15 and which will be used also in this paper. Nevertheless, the Fermi-Dirac distribution is not always used due to algebraic complications and many orders of magnitude longer numerical computation time.…”
Section: R-dciv Line-shape Analysismentioning
confidence: 99%