• 文献标题:   Scaling Effects on Static Metrics and Switching Attributes of Graphene Nanoribbon FET for Emerging Technology
  • 文献类型:   Article
  • 作  者:   BANADAKI YM, SRIVASTAVA A
  • 作者关键词:   gnr fet, quantum transport model, negf formulism, narrow armchair gnr, subthreshold swing, dibl, wider armchair gnr, cutoff frequency, intrinsic gatedelay time, powerdelay product
  • 出版物名称:   IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
  • ISSN:   2168-6750
  • 通讯作者地址:   Louisiana State Univ
  • 被引频次:   12
  • DOI:   10.1109/TETC.2015.2445104
  • 出版年:   2015

▎ 摘  要

In this paper, we have investigated the static metrics and switching attributes of graphene nanoribbon field-effect transistors (GNR EETs) for scaling the channel length from 15 nm down to 2.5 nm and GNR width by approaching the ultimate vertical scaling of oxide thickness. We have simulated the double-gate GNR FET by solving a numerical quantum transport model based on self consistent solution of the 3D Poisson equation and 1D Schrodinger equation within the non-equilibrium Green's function formulism. The narrow armchair GNR, e.g. (7,0), improved the device robustness to short channel effects, leading to better OFF-state performance considering OFF-current, I-ON/I-OFF ratio, subthreshold swing, and drain-induced barrier-lowering. The wider armchair GNRs allow the scaling of channel length and supply voltage, resulting in better oN-state performance, such as the larger intrinsic cut-off frequency for the channel length below 7.5 nm at smaller gate voltage as well as smaller intrinsic gate-delay time with the constant slope for scaling the channel length and supply voltage. The wider armchair GNRs, e.g. (13,0), have smaller power-delay product for scaling the channel length and supply voltage, reaching to similar to 0.18 (fJ/mu m).