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Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors

We show that by adding only two fitting parameters to a purely ballistic transport model, we can accurately characterize the current-voltage characteristics of nanoscale MOSFETs. The model is an extension of Natori’s model and includes transmission probability and drain-channel coupling parameter. T...

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Autores principales: Lee, Ji Ung, Cuduvally, Ramya, Dhakras, Prathamesh, Nguyen, Phung, Hughes, Harold L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346087/
https://www.ncbi.nlm.nih.gov/pubmed/30679517
http://dx.doi.org/10.1038/s41598-018-36692-7
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author Lee, Ji Ung
Cuduvally, Ramya
Dhakras, Prathamesh
Nguyen, Phung
Hughes, Harold L.
author_facet Lee, Ji Ung
Cuduvally, Ramya
Dhakras, Prathamesh
Nguyen, Phung
Hughes, Harold L.
author_sort Lee, Ji Ung
collection PubMed
description We show that by adding only two fitting parameters to a purely ballistic transport model, we can accurately characterize the current-voltage characteristics of nanoscale MOSFETs. The model is an extension of Natori’s model and includes transmission probability and drain-channel coupling parameter. The latter parameter gives rise to a theoretical R(ON) that is significantly larger than those predicted previously. To validate our model, we fabricated n-channel MOSFETs with varying channel lengths. We show the length dependence of these parameters to support a quasi-ballistic description of our devices.
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spelling pubmed-63460872019-01-29 Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors Lee, Ji Ung Cuduvally, Ramya Dhakras, Prathamesh Nguyen, Phung Hughes, Harold L. Sci Rep Article We show that by adding only two fitting parameters to a purely ballistic transport model, we can accurately characterize the current-voltage characteristics of nanoscale MOSFETs. The model is an extension of Natori’s model and includes transmission probability and drain-channel coupling parameter. The latter parameter gives rise to a theoretical R(ON) that is significantly larger than those predicted previously. To validate our model, we fabricated n-channel MOSFETs with varying channel lengths. We show the length dependence of these parameters to support a quasi-ballistic description of our devices. Nature Publishing Group UK 2019-01-24 /pmc/articles/PMC6346087/ /pubmed/30679517 http://dx.doi.org/10.1038/s41598-018-36692-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Lee, Ji Ung
Cuduvally, Ramya
Dhakras, Prathamesh
Nguyen, Phung
Hughes, Harold L.
Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title_full Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title_fullStr Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title_full_unstemmed Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title_short Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
title_sort two-parameter quasi-ballistic transport model for nanoscale transistors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6346087/
https://www.ncbi.nlm.nih.gov/pubmed/30679517
http://dx.doi.org/10.1038/s41598-018-36692-7
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