Abstract

This paper presents an accurate analytical compact model for Schottky-barrier-type graphene nanoribbon field-effect transistors (SB-GNRFETs). This is a physics-based analytical model for the current–voltage ( $I$ – $V$ ) characteristics of SB-GNRFETs. The proposed model considers various design parameters and process variation effects, including graphene-specific line-edge roughness, which allows thorough exploration and evaluation of SB-GNRFET circuits. We develop accurate approximations of SB tunneling, channel charge, and current, which provide accurate results while maintaining model compactness. We evaluate the effect of design parameters and process variations on the performance of SB-GNRFETs. We also compare circuit-level performance of SB-GNRFETs with multigate (MG) Si-CMOS (e.g., FinFETs). Our circuit simulations indicate that SB-GNRFET has an energy-delay product (EDP) advantage over Si-CMOS, although GNR-specific process variation, especially the line-edge roughness, would significantly downgrade such an advantage; the EDP of the ideal SB-GNRFET (assuming no process variation) is $\sim 2.5$ % of that of Si-CMOS, while the EDP of the nonideal case with process variation is $\sim 68$ % of that of Si-CMOS. Finally, we study technology scaling with SB-GNRFET and MG Si-CMOS. We show that the EDP of ideal (nonideal) SB-GNRFET is $\sim 0.88$ % (54%) EDP of that of Si-CMOS as the technology nodes scale down to 7 nm.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.