Graphene-based multilayer resonance structure to enhance the optical pressure on a Mie particle

Abdollah Hassanzadeh; Mohammad Bagher Mohammadnezhad

doi:10.1117/1.JNP.10.026015

9 May 2016 Graphene-based multilayer resonance structure to enhance the optical pressure on a Mie particle

Abdollah Hassanzadeh, Mohammad Bagher Mohammadnezhad

Author Affiliations +

Journal of Nanophotonics, Vol. 10, Issue 2, 026015 (May 2016). https://doi.org/10.1117/1.JNP.10.026015

Abstract

We theoretically investigate the optical force exerted on a Mie dielectric particle in the evanescent field of a graphene-based resonance multilayer structure using the arbitrary beam theory and the theory of multilayer films. The resonance structure consists of several thin films including a dielectric film (MgF₂), a metal film (silver or gold), and several graphene layers which are located on a prism base. The effects of the metal film thickness and the number of graphene layers on the optical force are numerically investigated. The thickness of the metal layer and the number of graphene layers are optimized to reach the highest optical force. The numerical results show that an optimized composition of graphene and gold leads to a higher optical force compared to that of the graphene and silver. The optical force was enhanced resonantly by four orders of magnitude for the resonance structure containing graphene and a gold film and by three orders of magnitude for the structure containing graphene and a silver film compared to other similar resonance structures. We hope that the results presented in this paper can provide an excellent means of improving the optical manipulation of particles and enable the provision of effective optical tweezers, micromotors, and microaccelelators.

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Abdollah Hassanzadeh and Mohammad Bagher Mohammadnezhad "Graphene-based multilayer resonance structure to enhance the optical pressure on a Mie particle," Journal of Nanophotonics 10(2), 026015 (9 May 2016). https://doi.org/10.1117/1.JNP.10.026015

Published: 9 May 2016

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