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A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs

An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effec...

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Autores principales: Seoane, Natalia, Nagy, Daniel, Indalecio, Guillermo, Espiñeira, Gabriel, Kalna, Karol, García-Loureiro, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695869/
https://www.ncbi.nlm.nih.gov/pubmed/31357496
http://dx.doi.org/10.3390/ma12152391
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author Seoane, Natalia
Nagy, Daniel
Indalecio, Guillermo
Espiñeira, Gabriel
Kalna, Karol
García-Loureiro, Antonio
author_facet Seoane, Natalia
Nagy, Daniel
Indalecio, Guillermo
Espiñeira, Gabriel
Kalna, Karol
García-Loureiro, Antonio
author_sort Seoane, Natalia
collection PubMed
description An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effect transistor is selected as a benchmark device. The device exhibits an off-current ([Formula: see text]) of [Formula: see text] [Formula: see text] A/ [Formula: see text] m, and an on-current ([Formula: see text]) of 1770 [Formula: see text] A/ [Formula: see text] m, with the [Formula: see text] ratio [Formula: see text] , a value [Formula: see text] larger than that of a [Formula: see text] nm gate length Si FinFET. The device SS is 71 mV/dec, no far from the ideal limit of 60 mV/dec. The threshold voltage standard deviation due to statistical combination of four sources of variability (line- and gate-edge roughness, metal grain granularity, and random dopants) is [Formula: see text] mV, a value noticeably larger than that of the equivalent FinFET (30 mV). Finally, using a fluctuation sensitivity map, we establish which regions of the device are the most sensitive to the line-edge roughness and the metal grain granularity variability effects. The on-current of the device is strongly affected by any line-edge roughness taking place near the source-gate junction or by metal grains localised between the middle of the gate and the proximity of the gate-source junction.
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spelling pubmed-66958692019-09-05 A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs Seoane, Natalia Nagy, Daniel Indalecio, Guillermo Espiñeira, Gabriel Kalna, Karol García-Loureiro, Antonio Materials (Basel) Article An in-house-built three-dimensional multi-method semi-classical/classical toolbox has been developed to characterise the performance, scalability, and variability of state-of-the-art semiconductor devices. To demonstrate capabilities of the toolbox, a 10 nm gate length Si gate-all-around field-effect transistor is selected as a benchmark device. The device exhibits an off-current ([Formula: see text]) of [Formula: see text] [Formula: see text] A/ [Formula: see text] m, and an on-current ([Formula: see text]) of 1770 [Formula: see text] A/ [Formula: see text] m, with the [Formula: see text] ratio [Formula: see text] , a value [Formula: see text] larger than that of a [Formula: see text] nm gate length Si FinFET. The device SS is 71 mV/dec, no far from the ideal limit of 60 mV/dec. The threshold voltage standard deviation due to statistical combination of four sources of variability (line- and gate-edge roughness, metal grain granularity, and random dopants) is [Formula: see text] mV, a value noticeably larger than that of the equivalent FinFET (30 mV). Finally, using a fluctuation sensitivity map, we establish which regions of the device are the most sensitive to the line-edge roughness and the metal grain granularity variability effects. The on-current of the device is strongly affected by any line-edge roughness taking place near the source-gate junction or by metal grains localised between the middle of the gate and the proximity of the gate-source junction. MDPI 2019-07-26 /pmc/articles/PMC6695869/ /pubmed/31357496 http://dx.doi.org/10.3390/ma12152391 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Seoane, Natalia
Nagy, Daniel
Indalecio, Guillermo
Espiñeira, Gabriel
Kalna, Karol
García-Loureiro, Antonio
A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title_full A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title_fullStr A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title_full_unstemmed A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title_short A Multi-Method Simulation Toolbox to Study Performance and Variability of Nanowire FETs
title_sort multi-method simulation toolbox to study performance and variability of nanowire fets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695869/
https://www.ncbi.nlm.nih.gov/pubmed/31357496
http://dx.doi.org/10.3390/ma12152391
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