Cargando…

Modeling Hydrodynamic Charge Transport in Graphene

Graphene has exceptional electronic properties, such as zero band gap, massless carriers, and high mobility. These exotic carrier properties enable the design and development of unique graphene devices. However, traditional semiconductor solvers based on drift-diffusion equations are not capable of...

Descripción completa

Detalles Bibliográficos
Autores principales: Gungor, Arif Can, Koepfli, Stefan M., Baumann, Michael, Ibili, Hande, Smajic, Jasmin, Leuthold, Juerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228317/
https://www.ncbi.nlm.nih.gov/pubmed/35744200
http://dx.doi.org/10.3390/ma15124141
_version_ 1784734428437676032
author Gungor, Arif Can
Koepfli, Stefan M.
Baumann, Michael
Ibili, Hande
Smajic, Jasmin
Leuthold, Juerg
author_facet Gungor, Arif Can
Koepfli, Stefan M.
Baumann, Michael
Ibili, Hande
Smajic, Jasmin
Leuthold, Juerg
author_sort Gungor, Arif Can
collection PubMed
description Graphene has exceptional electronic properties, such as zero band gap, massless carriers, and high mobility. These exotic carrier properties enable the design and development of unique graphene devices. However, traditional semiconductor solvers based on drift-diffusion equations are not capable of modeling and simulating the charge distribution and transport in graphene, accurately, to its full extent. The effects of charge inertia, viscosity, collective charge movement, contact doping, etc., cannot be accounted for by the conventional Poisson-drift-diffusion models, due to the underlying assumptions and simplifications. Therefore, this article proposes two mathematical models to analyze and simulate graphene-based devices. The first model is based on a modified nonlinear Poisson’s equation, which solves for the Fermi level and charge distribution electrostatically on graphene, by considering gating and contact doping. The second proposed solver focuses on the transport of the carriers by solving a hydrodynamic model. Furthermore, this model is applied to a Tesla-valve structure, where the viscosity and collective motion of the carriers play an important role, giving rise to rectification. These two models allow us to model unique electronic properties of graphene that could be paramount for the design of future graphene devices.
format Online
Article
Text
id pubmed-9228317
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-92283172022-06-25 Modeling Hydrodynamic Charge Transport in Graphene Gungor, Arif Can Koepfli, Stefan M. Baumann, Michael Ibili, Hande Smajic, Jasmin Leuthold, Juerg Materials (Basel) Article Graphene has exceptional electronic properties, such as zero band gap, massless carriers, and high mobility. These exotic carrier properties enable the design and development of unique graphene devices. However, traditional semiconductor solvers based on drift-diffusion equations are not capable of modeling and simulating the charge distribution and transport in graphene, accurately, to its full extent. The effects of charge inertia, viscosity, collective charge movement, contact doping, etc., cannot be accounted for by the conventional Poisson-drift-diffusion models, due to the underlying assumptions and simplifications. Therefore, this article proposes two mathematical models to analyze and simulate graphene-based devices. The first model is based on a modified nonlinear Poisson’s equation, which solves for the Fermi level and charge distribution electrostatically on graphene, by considering gating and contact doping. The second proposed solver focuses on the transport of the carriers by solving a hydrodynamic model. Furthermore, this model is applied to a Tesla-valve structure, where the viscosity and collective motion of the carriers play an important role, giving rise to rectification. These two models allow us to model unique electronic properties of graphene that could be paramount for the design of future graphene devices. MDPI 2022-06-10 /pmc/articles/PMC9228317/ /pubmed/35744200 http://dx.doi.org/10.3390/ma15124141 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gungor, Arif Can
Koepfli, Stefan M.
Baumann, Michael
Ibili, Hande
Smajic, Jasmin
Leuthold, Juerg
Modeling Hydrodynamic Charge Transport in Graphene
title Modeling Hydrodynamic Charge Transport in Graphene
title_full Modeling Hydrodynamic Charge Transport in Graphene
title_fullStr Modeling Hydrodynamic Charge Transport in Graphene
title_full_unstemmed Modeling Hydrodynamic Charge Transport in Graphene
title_short Modeling Hydrodynamic Charge Transport in Graphene
title_sort modeling hydrodynamic charge transport in graphene
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228317/
https://www.ncbi.nlm.nih.gov/pubmed/35744200
http://dx.doi.org/10.3390/ma15124141
work_keys_str_mv AT gungorarifcan modelinghydrodynamicchargetransportingraphene
AT koepflistefanm modelinghydrodynamicchargetransportingraphene
AT baumannmichael modelinghydrodynamicchargetransportingraphene
AT ibilihande modelinghydrodynamicchargetransportingraphene
AT smajicjasmin modelinghydrodynamicchargetransportingraphene
AT leutholdjuerg modelinghydrodynamicchargetransportingraphene