Graphene, due to its wealth of remarkable electronic properties, emerged as a potent post-Si forerunner for nanoelectronics. To enable the exploration and evaluation of potential graphene-based circuit designs, we propose a fast and accurate Verilog-A physics-based model of a 5-terminal trapezoidal Quantum Point Contact (QPC) Graphene Nano-Ribbon (GNR) structure with parametrizable geometry. The proposed model computes the GNR conductance based on the Non-Equilibrium Green's Function (NEGF)-Landauer formalism, via a Simulink model called from within the Verilog-A model. Furthermore, model accuracy and versatility are demonstrated by means of Simulink assisted Cadence Spectre simulation of a simple test case GNR-based circuit and a GNR-based 2-input XOR gate.

Original languageEnglish
Title of host publication18th International Conference on Nanotechnology, NANO 2018
Editors Aidan Quinn, Guangyong Li, Wen Li, Alan Mathewson
Place of PublicationPiscataway, NJ, USA
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)978-1-5386-5336-4
ISBN (Print)978-1-5386-5337-1
Publication statusPublished - 2019
Event18th International Conference on Nanotechnology, NANO 2018 - Cork, Ireland
Duration: 23 Jul 201826 Jul 2018


Conference18th International Conference on Nanotechnology, NANO 2018

    Research areas

  • Carbon- Nanoelectronics, GNR, Graphene, NEGF, Spice Model, Verilog-A

ID: 52268764