2013
DOI: 10.1109/ted.2013.2282629
|View full text |Cite
|
Sign up to set email alerts
|

Parasitic Gate Capacitance Model for Triple-Gate FinFETs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
21
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 49 publications
(21 citation statements)
references
References 18 publications
0
21
0
Order By: Relevance
“…Besides, the unique gate structure leads to increased gate capacitance and also to more components when modeling the parasitic capacitance and resistance compared to the planar devices. 19,20 These capacitance and resistance values are crucial since the inaccuracy caused during extracting R and C parasitic will lead to mis-characterization and under/over-estimated design margins. Figure 4 shows an example of how FinFET parasitic capacitance is accounted for a 2-finger device.…”
Section: Device Modelsmentioning
confidence: 99%
“…Besides, the unique gate structure leads to increased gate capacitance and also to more components when modeling the parasitic capacitance and resistance compared to the planar devices. 19,20 These capacitance and resistance values are crucial since the inaccuracy caused during extracting R and C parasitic will lead to mis-characterization and under/over-estimated design margins. Figure 4 shows an example of how FinFET parasitic capacitance is accounted for a 2-finger device.…”
Section: Device Modelsmentioning
confidence: 99%
“…20 shows the gate capacitance of TTMSON with different inclinations as a function of V gs . The gate capacitance is calculated by estimating the extrinsic five‐capacitance components and two internal capacitance components [28, 29]. It can be seen from Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Although it is out of the scope of this paper, this approach can be generalized to other architectures such as nanowires [28], [29] or FinFET [30], [31]. Finally, this model is simple and efficient enough for implementation in the MASTAR platform.…”
Section: Discussionmentioning
confidence: 99%