Effect of low-energy electron beam irradiation on the current-voltage characteristics of single-walled carbon nanotube field effect transistors

Choi, Daniel S.; Mallick, Govind; Karna, Shashi P.

doi:10.1109/nano.2017.8117335

Cited by 1 publication

(1 citation statement)

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“…The CNT is divided into two types, namely the Single-Walled CNT (comprising of one CNT between the source and the drain), and Multi-walled CNT (coaxial set of multiple hollow CNTs between the source and the drain). CNTFET has the physical channel, unlike the conventional MOSFET, where the channel is induced between the source and the drain due to the applied gate voltage [1].…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization of Carbon Nano-Tube Field Effect Transistors by Tuning Parameters

Saini

Rajput

Choi

2022

J. Electron. Electric. Eng.

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As transistors are scaled down to keep up with Moore's law, the semiconductor industry is facing several challenges due to the limitation of traditional Metal Oxide Semiconductor Field Effect Transistor (MOSFET) technology. To overcome this issue of scalability, various other technologies are being researched. Among them are Carbon Nano-Tube Field Effect Transistors (CNTFET), Ribbon Field Effect Transistors (RibbonFET), Graphene Nanoribbon Field Effect Transistor (GNRFET), and Fin shaped Field Effect Transistor (FinFET), which can substitute MOSFETs. Due to carbon nanotubes' excellent conductivity supremacy, CNTFETs are a promising new solution. However, implementing a CNTFET and making circuits from it is still challenging as CNTFETs can exhibit properties of both semiconductor and metal depending on various parameters. This paper will illustrate the characteristics of the CNTFET, compare the power consumption and propagation delay of basic logic gates made using the CNTFET and MOSFET technology. The parameter tuning is done by measuring the power and delay for all parameter values. The Simulation of CNTFET is done on the Stanford CNTFET model using H-Spice.

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Section: Introductionmentioning

confidence: 99%