A SPICE-Compatible Model of MOS-Type Graphene Nano-Ribbon Field-Effect Transistors Enabling Gate- and Circuit-Level Delay and Power Analysis under Process Variation

Ying Yu Chen, Amit Sangai, Artem Rogachev, Morteza Gholipour, Giuseppe Iannaccone, Gianluca Fiori, Deming Chen

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the first parameterized SPICE-compatible compact model of a graphene nano-ribbon field-effect transistor (GNRFET) with doped reservoirs, also known as MOS-type GNRFET. The current and charge models closely match numerical TCAD simulations. In addition, process variation in transistor dimension, line edge roughness, and doping level in the reservoirs are accurately modeled. Our model provides a means to analyze delay and power of graphene-based circuits under process variation, and offers design and fabrication insights for graphene circuits in the future. We show that line edge roughness severely degrades the advantages of GNRFET circuits; however, GNRFET is still a good candidate for low-power applications.

Original languageEnglish (US)
Article number7208877
Pages (from-to)1068-1082
Number of pages15
JournalIEEE Transactions on Nanotechnology
Volume14
Issue number6
DOIs
StatePublished - Nov 2015

Keywords

  • Field effect transistors
  • Graphene
  • Integrated circuit modeling
  • Mathematical model
  • SPICE

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A SPICE-Compatible Model of MOS-Type Graphene Nano-Ribbon Field-Effect Transistors Enabling Gate- and Circuit-Level Delay and Power Analysis under Process Variation'. Together they form a unique fingerprint.

Cite this