| Issue |
EPJ Web Conf.
Volume 363, 2026
International Conference on Low-Carbon Development and Materials for Solar Energy (ICLDMS’26)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 8 | |
| Section | Engineering Materials | |
| DOI | https://doi.org/10.1051/epjconf/202636302007 | |
| Published online | 16 April 2026 | |
https://doi.org/10.1051/epjconf/202636302007
Compact Modelling of Chirality and Contact Resistance Effects in CNTFETs
Saveetha School of Engineering, SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 16 April 2026
Abstract
This work presents a compact, semi-empirical modelling framework for Carbon Nanotube Field-Effect Transistors (CNTFETs) based on the impact of chiralitydependent electronic properties and contact resistance. The diameters and bandgaps of (10,0), (8,3), and (7,5) CNTs are computed from lattice geometry. The drain current is modelled using a subthreshold formulation coupled with a velocity saturation function. The internal drain bias is solved self-consistently to incorporate series contact resistance. Transfer characteristics and Output characteristics are simulated for all three chiralities, which are used to extract the ON current, OFF current, ON/OFF ratio, and peak transconductance values. Results show that increasing contact resistance significantly reduces the effective channel bias, suppressing ON-state conduction and degrading overall energy performance. The paper provides a computationally efficient approach for evaluating chirality-specific CNTFET behaviour and quantifying the impact of contact engineering on nanoscale device operation.
Key words: CNTFET / Energy / Chirality / Contact resistance / Performance / Characteristics / Bandgap
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

