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Volume 34, Issue 1
Inverse Design of Strained Graphene Surfaces for Electron Control

François Fillion-Gourdeau, Emmanuel Lorin & Steve Maclean

Commun. Comput. Phys., 34 (2023), pp. 235-260.

Published online: 2023-08

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  • Abstract

This paper is devoted to the inverse design of strained graphene surfaces for the control of electrons in the semi-classical optical-like regime. Assuming that charge carriers are described by the Dirac equation in curved-space and exploiting the fact that wave propagation can be described by ray-optics in this regime, a general computational strategy is proposed in order to find strain fields associated with a desired effective refractive index profile. The latter is first determined by solving semi-classical trajectories and by optimizing a chosen objective functional using a genetic algorithm. Then, the graded refractive index corresponding to the strain field is obtained by using its connection to the metric component in isothermal coordinates. These coordinates are evaluated via numerical quasiconformal transformations by solving the Beltrami equation with a finite volume method. The graphene surface deformation is finally optimized, also using a genetic algorithm, to reproduce the desired index of refraction. Some analytical results and numerical experiments are performed to illustrate the methodology.

  • AMS Subject Headings

35Q41, 81Q05, 81Q20, 78A05

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-34-235, author = {Fillion-Gourdeau , FrançoisLorin , Emmanuel and Maclean , Steve}, title = {Inverse Design of Strained Graphene Surfaces for Electron Control}, journal = {Communications in Computational Physics}, year = {2023}, volume = {34}, number = {1}, pages = {235--260}, abstract = {

This paper is devoted to the inverse design of strained graphene surfaces for the control of electrons in the semi-classical optical-like regime. Assuming that charge carriers are described by the Dirac equation in curved-space and exploiting the fact that wave propagation can be described by ray-optics in this regime, a general computational strategy is proposed in order to find strain fields associated with a desired effective refractive index profile. The latter is first determined by solving semi-classical trajectories and by optimizing a chosen objective functional using a genetic algorithm. Then, the graded refractive index corresponding to the strain field is obtained by using its connection to the metric component in isothermal coordinates. These coordinates are evaluated via numerical quasiconformal transformations by solving the Beltrami equation with a finite volume method. The graphene surface deformation is finally optimized, also using a genetic algorithm, to reproduce the desired index of refraction. Some analytical results and numerical experiments are performed to illustrate the methodology.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2022-0011}, url = {http://global-sci.org/intro/article_detail/cicp/21886.html} }
TY - JOUR T1 - Inverse Design of Strained Graphene Surfaces for Electron Control AU - Fillion-Gourdeau , François AU - Lorin , Emmanuel AU - Maclean , Steve JO - Communications in Computational Physics VL - 1 SP - 235 EP - 260 PY - 2023 DA - 2023/08 SN - 34 DO - http://doi.org/10.4208/cicp.OA-2022-0011 UR - https://global-sci.org/intro/article_detail/cicp/21886.html KW - Graphene, isothermal coordinates, Beltrami equation, gravitational lens, waveguide, finite volume method, genetic algorithm, Dirac equation. AB -

This paper is devoted to the inverse design of strained graphene surfaces for the control of electrons in the semi-classical optical-like regime. Assuming that charge carriers are described by the Dirac equation in curved-space and exploiting the fact that wave propagation can be described by ray-optics in this regime, a general computational strategy is proposed in order to find strain fields associated with a desired effective refractive index profile. The latter is first determined by solving semi-classical trajectories and by optimizing a chosen objective functional using a genetic algorithm. Then, the graded refractive index corresponding to the strain field is obtained by using its connection to the metric component in isothermal coordinates. These coordinates are evaluated via numerical quasiconformal transformations by solving the Beltrami equation with a finite volume method. The graphene surface deformation is finally optimized, also using a genetic algorithm, to reproduce the desired index of refraction. Some analytical results and numerical experiments are performed to illustrate the methodology.

François Fillion-Gourdeau, Emmanuel Lorin & Steve Maclean. (2023). Inverse Design of Strained Graphene Surfaces for Electron Control. Communications in Computational Physics. 34 (1). 235-260. doi:10.4208/cicp.OA-2022-0011
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