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 publication2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)
Editors Aidan Quinn, Guangyong Li, Wen Li, Alan Mathewson
Place of PublicationPiscataway, NJ, USA
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