Influence of Device Parameters on Performance of Ultra-Scaled Graphene Nanoribbon Field Effect Transistor

Author:

Hasan Md. AzizulORCID,Nishat Sadiq ShahriyarORCID,Hossain MainulORCID,Islam SharnaliORCID

Abstract

Recent advances in graphene nanoribbon (GNR) field-effect transistors (FETs), with finite band-gap, have shown great promise for their use in ultra-scaled, low power and high speed device applications. Here, we use quantum mechanical simulations, based on non-equilibrium Green’s function (NEGF), to study the electrical characteristics of a sub-10 nm gate length GNRFET with double gate structure. Tight-binding approximation is used to extract the energy bands of GNR and the results are validated with density functional theory (DFT) calculations. Key electrical parameters are computed for different dielectric material, source/drain doping and temperature combining the channel length scaling beyond 10 nm to study performance variation. Results reveal that change in source/drain doping shows significant impact on performance for shorter channel, while the opposite tendency is observed for dielectric constant (k) variation. GNRFET showed robustness against temperature variation compared to conventional Si devices. Finally, the results were benchmarked against the performance metrics of high performance and low power CMOS devices in the 5-nm technology node. A significant rise in leakage current beyond the LP requirement was observed for gate lengths below 5 nm. Results obtained from this study can provide useful insights in the design and implementation of next generation GNRFETs.

Publisher

The Electrochemical Society

Subject

Electronic, Optical and Magnetic Materials

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Parameterized Comparison of Carbon Nanotube and Graphene Nanoribbon Field Effective Transistor;2022 IEEE International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology (5NANO);2022-04-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3