Tuning the Fano factor of graphene via Fermi velocity modulation

Detalhes bibliográficos
Autor(a) principal: Lima, Jonas R. F.
Data de Publicação: 2018
Outros Autores: Barbosa, Anderson L. R., Bezerra, Claudionor Gomes, Pereira, Luiz Felipe Cavalcanti
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/29507
Resumo: In this work we investigate the influence of a Fermi velocity modulation on the Fano factor of periodic and quasi-periodic graphene superlattices. We consider the continuum model and use the transfer matrix method to solve the Dirac-like equation for graphene where the electrostatic potential, energy gap and Fermi velocity are piecewise constant functions of the position . We found that in the presence of an energy gap, it is possible to tune the energy of the Fano factor peak and consequently the location of the Dirac point, by a modulation in the Fermi velocity. Hence, the peak of the Fano factor can be used experimentally to identify the Dirac point. We show that for higher values of the Fermi velocity the Fano factor goes below 1/3 at the Dirac point. Furthermore, we show that in periodic superlattices the location of Fano factor peaks is symmetric when the Fermi velocity and is exchanged, however by introducing quasi-periodicity the symmetry is lost. The Fano factor usually holds a universal value for a specific transport regime, which reveals that the possibility of controlling it in graphene is a notable result
id UFRN_dfa9436a246514792a6f64d1e512de0f
oai_identifier_str oai:https://repositorio.ufrn.br:123456789/29507
network_acronym_str UFRN
network_name_str Repositório Institucional da UFRN
repository_id_str
spelling Lima, Jonas R. F.Barbosa, Anderson L. R.Bezerra, Claudionor GomesPereira, Luiz Felipe Cavalcanti2020-07-08T21:13:08Z2020-07-08T21:13:08Z2018-03LIMA, J. R.F. ; BARBOSA, A.L.R. ; BEZERRA, C.G. ; PEREIRA, L. F. C.. Tuning the Fano factor of graphene via Fermi velocity modulation. Physica E: Low-dimensional Systems and Nanostructures, v. 97, p. 105-110, 2018. Disponível em: https://www.sciencedirect.com/science/article/pii/S1386947717310652?via%3Dihub. Acesso em: 07 jul. 2020. https://doi.org/10.1016/j.physe.2017.10.0191386-9477https://repositorio.ufrn.br/jspui/handle/123456789/2950710.1016/j.physe.2017.10.019ElsevierAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessTransfer matrix methodContinuumTuning the Fano factor of graphene via Fermi velocity modulationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleIn this work we investigate the influence of a Fermi velocity modulation on the Fano factor of periodic and quasi-periodic graphene superlattices. We consider the continuum model and use the transfer matrix method to solve the Dirac-like equation for graphene where the electrostatic potential, energy gap and Fermi velocity are piecewise constant functions of the position . We found that in the presence of an energy gap, it is possible to tune the energy of the Fano factor peak and consequently the location of the Dirac point, by a modulation in the Fermi velocity. Hence, the peak of the Fano factor can be used experimentally to identify the Dirac point. We show that for higher values of the Fermi velocity the Fano factor goes below 1/3 at the Dirac point. Furthermore, we show that in periodic superlattices the location of Fano factor peaks is symmetric when the Fermi velocity and is exchanged, however by introducing quasi-periodicity the symmetry is lost. The Fano factor usually holds a universal value for a specific transport regime, which reveals that the possibility of controlling it in graphene is a notable resultengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALTuningFanoFactorGraphene_bezerra_2017.pdfTuningFanoFactorGraphene_bezerra_2017.pdfapplication/pdf1115239https://repositorio.ufrn.br/bitstream/123456789/29507/1/TuningFanoFactorGraphene_bezerra_2017.pdf95427c75c6e48736ebd3ae1c7f9b6d5dMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/29507/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/29507/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTTuningFanoFactorGraphene_bezerra_2017.pdf.txtTuningFanoFactorGraphene_bezerra_2017.pdf.txtExtracted texttext/plain31373https://repositorio.ufrn.br/bitstream/123456789/29507/4/TuningFanoFactorGraphene_bezerra_2017.pdf.txt9183244f4114d4faa41ab5dce58559e4MD54THUMBNAILTuningFanoFactorGraphene_bezerra_2017.pdf.jpgTuningFanoFactorGraphene_bezerra_2017.pdf.jpgGenerated Thumbnailimage/jpeg1681https://repositorio.ufrn.br/bitstream/123456789/29507/5/TuningFanoFactorGraphene_bezerra_2017.pdf.jpg52f4552c6741a2d6d9a3e5df860a645aMD55123456789/295072020-07-12 04:49:34.06oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-07-12T07:49:34Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Tuning the Fano factor of graphene via Fermi velocity modulation
title Tuning the Fano factor of graphene via Fermi velocity modulation
spellingShingle Tuning the Fano factor of graphene via Fermi velocity modulation
Lima, Jonas R. F.
Transfer matrix method
Continuum
title_short Tuning the Fano factor of graphene via Fermi velocity modulation
title_full Tuning the Fano factor of graphene via Fermi velocity modulation
title_fullStr Tuning the Fano factor of graphene via Fermi velocity modulation
title_full_unstemmed Tuning the Fano factor of graphene via Fermi velocity modulation
title_sort Tuning the Fano factor of graphene via Fermi velocity modulation
author Lima, Jonas R. F.
author_facet Lima, Jonas R. F.
Barbosa, Anderson L. R.
Bezerra, Claudionor Gomes
Pereira, Luiz Felipe Cavalcanti
author_role author
author2 Barbosa, Anderson L. R.
Bezerra, Claudionor Gomes
Pereira, Luiz Felipe Cavalcanti
author2_role author
author
author
dc.contributor.author.fl_str_mv Lima, Jonas R. F.
Barbosa, Anderson L. R.
Bezerra, Claudionor Gomes
Pereira, Luiz Felipe Cavalcanti
dc.subject.por.fl_str_mv Transfer matrix method
Continuum
topic Transfer matrix method
Continuum
description In this work we investigate the influence of a Fermi velocity modulation on the Fano factor of periodic and quasi-periodic graphene superlattices. We consider the continuum model and use the transfer matrix method to solve the Dirac-like equation for graphene where the electrostatic potential, energy gap and Fermi velocity are piecewise constant functions of the position . We found that in the presence of an energy gap, it is possible to tune the energy of the Fano factor peak and consequently the location of the Dirac point, by a modulation in the Fermi velocity. Hence, the peak of the Fano factor can be used experimentally to identify the Dirac point. We show that for higher values of the Fermi velocity the Fano factor goes below 1/3 at the Dirac point. Furthermore, we show that in periodic superlattices the location of Fano factor peaks is symmetric when the Fermi velocity and is exchanged, however by introducing quasi-periodicity the symmetry is lost. The Fano factor usually holds a universal value for a specific transport regime, which reveals that the possibility of controlling it in graphene is a notable result
publishDate 2018
dc.date.issued.fl_str_mv 2018-03
dc.date.accessioned.fl_str_mv 2020-07-08T21:13:08Z
dc.date.available.fl_str_mv 2020-07-08T21:13:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv LIMA, J. R.F. ; BARBOSA, A.L.R. ; BEZERRA, C.G. ; PEREIRA, L. F. C.. Tuning the Fano factor of graphene via Fermi velocity modulation. Physica E: Low-dimensional Systems and Nanostructures, v. 97, p. 105-110, 2018. Disponível em: https://www.sciencedirect.com/science/article/pii/S1386947717310652?via%3Dihub. Acesso em: 07 jul. 2020. https://doi.org/10.1016/j.physe.2017.10.019
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/29507
dc.identifier.issn.none.fl_str_mv 1386-9477
dc.identifier.doi.none.fl_str_mv 10.1016/j.physe.2017.10.019
identifier_str_mv LIMA, J. R.F. ; BARBOSA, A.L.R. ; BEZERRA, C.G. ; PEREIRA, L. F. C.. Tuning the Fano factor of graphene via Fermi velocity modulation. Physica E: Low-dimensional Systems and Nanostructures, v. 97, p. 105-110, 2018. Disponível em: https://www.sciencedirect.com/science/article/pii/S1386947717310652?via%3Dihub. Acesso em: 07 jul. 2020. https://doi.org/10.1016/j.physe.2017.10.019
1386-9477
10.1016/j.physe.2017.10.019
url https://repositorio.ufrn.br/jspui/handle/123456789/29507
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
bitstream.url.fl_str_mv https://repositorio.ufrn.br/bitstream/123456789/29507/1/TuningFanoFactorGraphene_bezerra_2017.pdf
https://repositorio.ufrn.br/bitstream/123456789/29507/2/license_rdf
https://repositorio.ufrn.br/bitstream/123456789/29507/3/license.txt
https://repositorio.ufrn.br/bitstream/123456789/29507/4/TuningFanoFactorGraphene_bezerra_2017.pdf.txt
https://repositorio.ufrn.br/bitstream/123456789/29507/5/TuningFanoFactorGraphene_bezerra_2017.pdf.jpg
bitstream.checksum.fl_str_mv 95427c75c6e48736ebd3ae1c7f9b6d5d
4d2950bda3d176f570a9f8b328dfbbef
e9597aa2854d128fd968be5edc8a28d9
9183244f4114d4faa41ab5dce58559e4
52f4552c6741a2d6d9a3e5df860a645a
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv
_version_ 1802117844972863488