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Charge filling factors in clean and disordered arrays of tunnel junctions
We simulate one-dimensional arrays of tunnel junctions using the kinetic Monte Carlo method to study charge filling behaviour in the large charging energy limit. By applying a small fixed voltage bias and varying the offset voltage, we investigate this behaviour in clean and disordered arrays (both...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667228/ https://www.ncbi.nlm.nih.gov/pubmed/26627327 http://dx.doi.org/10.1038/srep17572 |
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author | Walker, Kelly A. Vogt, Nicolas Cole, Jared H. |
author_facet | Walker, Kelly A. Vogt, Nicolas Cole, Jared H. |
author_sort | Walker, Kelly A. |
collection | PubMed |
description | We simulate one-dimensional arrays of tunnel junctions using the kinetic Monte Carlo method to study charge filling behaviour in the large charging energy limit. By applying a small fixed voltage bias and varying the offset voltage, we investigate this behaviour in clean and disordered arrays (both weak and strong disorder effects). The offset voltage dependent modulation of the current is highly sensitive to background charge disorder and exhibits substantial variation depending on the strength of the disorder. We show that while small fractional charge filling factors are likely to be washed out in experimental devices due to strong background charge disorder, larger factors may be observable. |
format | Online Article Text |
id | pubmed-4667228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46672282015-12-08 Charge filling factors in clean and disordered arrays of tunnel junctions Walker, Kelly A. Vogt, Nicolas Cole, Jared H. Sci Rep Article We simulate one-dimensional arrays of tunnel junctions using the kinetic Monte Carlo method to study charge filling behaviour in the large charging energy limit. By applying a small fixed voltage bias and varying the offset voltage, we investigate this behaviour in clean and disordered arrays (both weak and strong disorder effects). The offset voltage dependent modulation of the current is highly sensitive to background charge disorder and exhibits substantial variation depending on the strength of the disorder. We show that while small fractional charge filling factors are likely to be washed out in experimental devices due to strong background charge disorder, larger factors may be observable. Nature Publishing Group 2015-12-02 /pmc/articles/PMC4667228/ /pubmed/26627327 http://dx.doi.org/10.1038/srep17572 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Walker, Kelly A. Vogt, Nicolas Cole, Jared H. Charge filling factors in clean and disordered arrays of tunnel junctions |
title | Charge filling factors in clean and disordered arrays of tunnel junctions |
title_full | Charge filling factors in clean and disordered arrays of tunnel junctions |
title_fullStr | Charge filling factors in clean and disordered arrays of tunnel junctions |
title_full_unstemmed | Charge filling factors in clean and disordered arrays of tunnel junctions |
title_short | Charge filling factors in clean and disordered arrays of tunnel junctions |
title_sort | charge filling factors in clean and disordered arrays of tunnel junctions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667228/ https://www.ncbi.nlm.nih.gov/pubmed/26627327 http://dx.doi.org/10.1038/srep17572 |
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