Recent Development in Analytical Model for Graphene Field Effect Transistors for RF Circuit Applications

TL;DR

This paper reviews recent analytical models for graphene FETs, highlighting their potential for RF circuits due to graphene's high mobility and the importance of modeling approaches in device performance prediction.

Contribution

It provides a comprehensive overview of various analytical modeling techniques for graphene FETs, aiding in device understanding and circuit design.

Findings

Graphene FETs exhibit high carrier mobility suitable for RF applications.

Analytical models include drift-diffusion, gradual channel, virtual source, and ballistic approaches.

Modeling aids in device performance prediction and EDA tool development.

Abstract

The MOS devices are the basic building block of any digital and analog circuits, where silicon (Si) is the most commonly used material. The International Technology Roadmap Semiconductor (ITRS) report predicts the gate length of the MOS device will shrink to 4.5 nm up to 2023, this may create severe short channel effects (SCEs). Therefore, new channel materials have been realized, which have shown their potential to maintain the proper balance between device performance and SECs. Among them, graphene has shown its strong presence as an alternative channel material in terms of its fascinating electrical and mechanical properties. It has ultra-high carrier mobility (77,000 cm2V-1s-1) and saturation velocity, which makes it compatible with high-speed circuit applications. This review paper has a detailed report on the several analytical modeling approaches for graphene-based FET device, which includes the drift-diffusion, gradual channel approximation, virtual source, and ballistic approaches. The device modeling plays an important role to predict the device performance and used to reveal the physics behind it. In addition, the compact model of the device will use in the development of electronic design automation (EDA) tools, which are used for the circuits simulation.