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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/itc.20...
Article . 2010 . Peer-reviewed
License: STM Policy #29
Data sources: Crossref
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Parasitic Capacitances in Double Gate MOSFET

Authors: Viranjay M. Srivastava; null Priyank; Sharad P. Singh; G. Singh;

Parasitic Capacitances in Double Gate MOSFET

Abstract

Parasitic components of a MOSFET are mainly responsible for the intrinsic delay of logic gates, and they can be modelled with fairly high accuracy for gate delay estimation. The extraction of transistor parasitic from physical structure (mask layout) is also fairly straight forward. The first component of capacitive parasitic, we will examine is the MOSFET capacitances. The classical approach for determining the switching speed of the logic gates is based on the assumption that the loads are mainly capacitive and lumped. Relatively simple delay models exist for logic gates with purely capacitive load at the output node; hence the dynamic behaviour of the circuit can be estimated easily once the load is determined.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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