The University of Southampton
University of Southampton Institutional Repository

A Fast, Numerical Circuit-Level Model of Carbon Nanotube Transistor

A Fast, Numerical Circuit-Level Model of Carbon Nanotube Transistor
A Fast, Numerical Circuit-Level Model of Carbon Nanotube Transistor
Recently proposed circuit-level models of carbon nanotube transistor (CNT) for SPICE-like simulators suffer from numerical complexities as they rely on numerical evaluation of integrals or internal Newton-Raphson iterations to find solutions of non-linear dependencies or both. Recently an approach has been proposed which eliminates the need for numerical integration when calculating the charge densities in CNTFET through the use of piece-wise linear approximation. This paper builds on the effective employment of linear approximation to accelerate the CNT model speed when evaluating the source-drain current of the CNT, but rather than using symbolic solutions as reported, we propose to employ a numerical linearization of charge density dependence on the self-consistent voltage to obtain a dramatic reduction in the CPU time. Our results show a speed up of up to almost four orders of magnitude compared with the theoretical CNT model implemented in FETToy, used as a reference for verifying newer models. Comparisons of drain-source current characteristics of the new model against that in FETToy are presented, confirming the accuracy of the proposed approach.
978-1-4244-1790-2
33-37
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Zhou, Dafeng
fd16a287-48a9-4cfe-983b-f74aa7805d0f
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Zhou, Dafeng
fd16a287-48a9-4cfe-983b-f74aa7805d0f
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d

Kazmierski, Tom, Zhou, Dafeng and Al-Hashimi, Bashir (2007) A Fast, Numerical Circuit-Level Model of Carbon Nanotube Transistor. Nanoscale Architectures, 2007. NANOSARCH 2007. IEEE International Symposium on. 21 - 22 Oct 2007. pp. 33-37 .

Record type: Conference or Workshop Item (Paper)

Abstract

Recently proposed circuit-level models of carbon nanotube transistor (CNT) for SPICE-like simulators suffer from numerical complexities as they rely on numerical evaluation of integrals or internal Newton-Raphson iterations to find solutions of non-linear dependencies or both. Recently an approach has been proposed which eliminates the need for numerical integration when calculating the charge densities in CNTFET through the use of piece-wise linear approximation. This paper builds on the effective employment of linear approximation to accelerate the CNT model speed when evaluating the source-drain current of the CNT, but rather than using symbolic solutions as reported, we propose to employ a numerical linearization of charge density dependence on the self-consistent voltage to obtain a dramatic reduction in the CPU time. Our results show a speed up of up to almost four orders of magnitude compared with the theoretical CNT model implemented in FETToy, used as a reference for verifying newer models. Comparisons of drain-source current characteristics of the new model against that in FETToy are presented, confirming the accuracy of the proposed approach.

Text
114.pdf - Version of Record
Download (102kB)

More information

Published date: 22 October 2007
Additional Information: Event Dates: 21-22 Oct. 2007
Venue - Dates: Nanoscale Architectures, 2007. NANOSARCH 2007. IEEE International Symposium on, 2007-10-21 - 2007-10-22
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 267149
URI: https://eprints.soton.ac.uk/id/eprint/267149
ISBN: 978-1-4244-1790-2
PURE UUID: aed9cf61-fc1d-4db7-bb3a-b6634b35419b

Catalogue record

Date deposited: 02 Mar 2009 16:29
Last modified: 02 Dec 2019 21:02

Export record

Contributors

Author: Tom Kazmierski
Author: Dafeng Zhou
Author: Bashir Al-Hashimi

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×