Real space multigrid method for ballistic carbon nanotubes field-effect transistor

This paper is focus on the development of a multigrid method, which is applied and its numerical simulation capability in carbon nanotube field-effect transistor (CNTFET). This research applied multigrid method in fixed size nanotube length, ∼45 nm, and the transistor channel (13, 0) intrinsic carbo...

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Main Authors: Ha, Cheun Yuen, Yeak, Su Hoe, Tan, Michael Loong Peng
Format: Article
Published: American Scientific Publishers 2018
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Online Access:http://eprints.utm.my/id/eprint/85467/
http://dx.doi.org/10.1166/jno.2018.2368
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spelling my.utm.854672020-06-30T08:45:48Z http://eprints.utm.my/id/eprint/85467/ Real space multigrid method for ballistic carbon nanotubes field-effect transistor Ha, Cheun Yuen Yeak, Su Hoe Tan, Michael Loong Peng Q Science (General) This paper is focus on the development of a multigrid method, which is applied and its numerical simulation capability in carbon nanotube field-effect transistor (CNTFET). This research applied multigrid method in fixed size nanotube length, ∼45 nm, and the transistor channel (13, 0) intrinsic carbon nanotubes (CNTs). In this research, we explored and compared the performance of CNTFET in simulation time with different size of grid points (101 × 101 until 701 × 701). This enables an efficient calculation of quantum transport properties, which relies on the Poisson equation matrices in real space approach. The comparison results show that the multigrid technique requires less computational time, by up to 54% without the Jacobian matrix and 4% with the Jacobian matrix. American Scientific Publishers 2018-09 Article PeerReviewed Ha, Cheun Yuen and Yeak, Su Hoe and Tan, Michael Loong Peng (2018) Real space multigrid method for ballistic carbon nanotubes field-effect transistor. Journal of Nanoelectronics and Optoelectronics, 13 (9). pp. 1284-1289. ISSN 1555-130X http://dx.doi.org/10.1166/jno.2018.2368 DOI:10.1166/jno.2018.2368
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Ha, Cheun Yuen
Yeak, Su Hoe
Tan, Michael Loong Peng
Real space multigrid method for ballistic carbon nanotubes field-effect transistor
description This paper is focus on the development of a multigrid method, which is applied and its numerical simulation capability in carbon nanotube field-effect transistor (CNTFET). This research applied multigrid method in fixed size nanotube length, ∼45 nm, and the transistor channel (13, 0) intrinsic carbon nanotubes (CNTs). In this research, we explored and compared the performance of CNTFET in simulation time with different size of grid points (101 × 101 until 701 × 701). This enables an efficient calculation of quantum transport properties, which relies on the Poisson equation matrices in real space approach. The comparison results show that the multigrid technique requires less computational time, by up to 54% without the Jacobian matrix and 4% with the Jacobian matrix.
format Article
author Ha, Cheun Yuen
Yeak, Su Hoe
Tan, Michael Loong Peng
author_facet Ha, Cheun Yuen
Yeak, Su Hoe
Tan, Michael Loong Peng
author_sort Ha, Cheun Yuen
title Real space multigrid method for ballistic carbon nanotubes field-effect transistor
title_short Real space multigrid method for ballistic carbon nanotubes field-effect transistor
title_full Real space multigrid method for ballistic carbon nanotubes field-effect transistor
title_fullStr Real space multigrid method for ballistic carbon nanotubes field-effect transistor
title_full_unstemmed Real space multigrid method for ballistic carbon nanotubes field-effect transistor
title_sort real space multigrid method for ballistic carbon nanotubes field-effect transistor
publisher American Scientific Publishers
publishDate 2018
url http://eprints.utm.my/id/eprint/85467/
http://dx.doi.org/10.1166/jno.2018.2368
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score 13.15806