Cargando…
Analysing quantized resistance behaviour in graphene Corbino p-n junction devices
Just a few of the promising applications of graphene Corbino pnJ devices include two-dimensional Dirac fermion microscopes, custom programmable quantized resistors, and mesoscopic valley filters. In some cases, device scalability is crucial, as seen in fields like resistance metrology, where graphen...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431976/ https://www.ncbi.nlm.nih.gov/pubmed/32831402 http://dx.doi.org/10.1088/1361-6463/ab83bb |
_version_ | 1783571693038469120 |
---|---|
author | Liu, Chieh-I Scaletta, Dominick S. Patel, Dinesh K. Kruskopf, Mattias Levy, Antonio Hill, Heather M. Rigosi, Albert F. |
author_facet | Liu, Chieh-I Scaletta, Dominick S. Patel, Dinesh K. Kruskopf, Mattias Levy, Antonio Hill, Heather M. Rigosi, Albert F. |
author_sort | Liu, Chieh-I |
collection | PubMed |
description | Just a few of the promising applications of graphene Corbino pnJ devices include two-dimensional Dirac fermion microscopes, custom programmable quantized resistors, and mesoscopic valley filters. In some cases, device scalability is crucial, as seen in fields like resistance metrology, where graphene devices are required to accommodate currents of the order 100 μA to be compatible with existing infrastructure. However, fabrication of these devices still poses many difficulties. In this work, unusual quantized resistances are observed in epitaxial graphene Corbino p-n junction devices held at the ν = 2 plateau (R(H) ≈ 12906 Ω) and agree with numerical simulations performed with the LTspice circuit simulator. The formulae describing experimental and simulated data are empirically derived for generalized placement of up to three current terminals and accurately reflects observed partial edge channel cancellation. These results support the use of ultraviolet lithography as a way to scale up graphene-based devices with suitably narrow junctions that could be applied in a variety of subfields. |
format | Online Article Text |
id | pubmed-7431976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74319762021-01-01 Analysing quantized resistance behaviour in graphene Corbino p-n junction devices Liu, Chieh-I Scaletta, Dominick S. Patel, Dinesh K. Kruskopf, Mattias Levy, Antonio Hill, Heather M. Rigosi, Albert F. J Phys D Appl Phys Article Just a few of the promising applications of graphene Corbino pnJ devices include two-dimensional Dirac fermion microscopes, custom programmable quantized resistors, and mesoscopic valley filters. In some cases, device scalability is crucial, as seen in fields like resistance metrology, where graphene devices are required to accommodate currents of the order 100 μA to be compatible with existing infrastructure. However, fabrication of these devices still poses many difficulties. In this work, unusual quantized resistances are observed in epitaxial graphene Corbino p-n junction devices held at the ν = 2 plateau (R(H) ≈ 12906 Ω) and agree with numerical simulations performed with the LTspice circuit simulator. The formulae describing experimental and simulated data are empirically derived for generalized placement of up to three current terminals and accurately reflects observed partial edge channel cancellation. These results support the use of ultraviolet lithography as a way to scale up graphene-based devices with suitably narrow junctions that could be applied in a variety of subfields. 2020 /pmc/articles/PMC7431976/ /pubmed/32831402 http://dx.doi.org/10.1088/1361-6463/ab83bb Text en https://creativecommons.org/licenses/by/3.0/As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 3.0 licence, this Accepted Manuscript is available for reuse under a CC BY 3.0 licence immediately. Everyone is permitted to use all or part of the original content in this article, provided that they adhere to all the terms of the licence https://creativecommons.org/licenses/by/3.0 (https://creativecommons.org/licenses/by/3.0/) Although reasonable endeavours have been taken to obtain all necessary permissions from third parties to include their copyrighted content within this article, their full citation and copyright line may not be present in this Accepted Manuscript version. Before using any content from this article, please refer to the Version of Record on IOPscience once published for full citation and copyright details, as permissions may be required. All third party content is fully copyright protected and is not published on a gold open access basis under a CC BY licence, unless that is specifically stated in the figure caption in the Version of Record. |
spellingShingle | Article Liu, Chieh-I Scaletta, Dominick S. Patel, Dinesh K. Kruskopf, Mattias Levy, Antonio Hill, Heather M. Rigosi, Albert F. Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title | Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title_full | Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title_fullStr | Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title_full_unstemmed | Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title_short | Analysing quantized resistance behaviour in graphene Corbino p-n junction devices |
title_sort | analysing quantized resistance behaviour in graphene corbino p-n junction devices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431976/ https://www.ncbi.nlm.nih.gov/pubmed/32831402 http://dx.doi.org/10.1088/1361-6463/ab83bb |
work_keys_str_mv | AT liuchiehi analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT scalettadominicks analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT pateldineshk analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT kruskopfmattias analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT levyantonio analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT hillheatherm analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices AT rigosialbertf analysingquantizedresistancebehaviouringraphenecorbinopnjunctiondevices |