Analytical SPICE-Compatible Model of Schottky-Barrier-Type GNRFETs with Performance Analysis

Morteza Gholipour, Ying Yu Chen, Amit Sangai, Nasser Masoumi, Deming Chen

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number7060729
Pages (from-to)650-663
Number of pages14
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume24
Issue number2
DOIs
StatePublished - Feb 2016

Keywords

  • Graphene nanoribbon field-effect transistor (GNRFET)
  • SPICE model.
  • Schottky barrier (SB)
  • nanoelectronics

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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