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A compact model for tunnel field-effect transistors incorporating nonlocal band-to-band tunneling

Authors: K. Fukuda; T. Mori; W. Mizubayashi; Y. Morita; A. Tanabe; M. Masahara; T. Yasuda; +2 Authors

A compact model for tunnel field-effect transistors incorporating nonlocal band-to-band tunneling

Abstract

To enable circuit design using tunnel field-effect transistors (TFETs), a physics-based model based on nonlocal band-to-band tunneling is developed. To maintain accuracy, the tunneling lengths are estimated assuming that both vertical and horizontal tunneling paths exist in the device. The static current-voltage characteristics are modeled, including the diode currents and Esaki tunneling. Parasitic capacitances and resistances are included to enable transient circuit analyses. The model is validated by comparison with measurements of silicon TFETs, as well as with semiconductor device simulations based on nonlocal band-to-band tunneling. The model accounts for TFET behavior in circuits, as demonstrated by simulations of inverters and static random access memories. Consequently, the model can be used to develop TFET circuits for low-power applications.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
25
Average
Top 10%
Average
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