Design of metamaterials using artificial neural networks

Author

Freitas, G.M.F. ; Rêgo, S.L. ; Vasconcelos, C. F L

Author_Institution

Dept. de Eng. Eletr., Univ. Fed. do Rio Grande do Norte, Natal, Brazil

fYear

2011

fDate

Oct. 29 2011-Nov. 1 2011

Firstpage

541

Lastpage

545

Abstract

This paper presents an analysis of the resonant characteristics of a composite medium based on a periodic array of interspaced conducting nonmagnetic split ring resonators (SRR) and continuous thin wires (TW). The medium exhibits simultaneously negative values of effective permeability (μ_eff) and permittivity (ϵ_eff) within a microwave frequency band, characterizing a metamaterial. An analysis using Artificial Neural Networks (ANN) is built to obtain the permeability and permittivity as a function of resonant frequencies for a given geometrical dimensions of the metamaterial, for an optimization of the development medium.

Keywords

metamaterials; neural nets; optical computing; permeability; permittivity; resonators; wires; artificial neural network; composite medium; continuous thin wires; development medium optimization; effective permeability; interspaced conducting nonmagnetic split ring resonators; metamaterial characterization; metamaterial geometrical dimension; metamaterials design; microwave frequency band; periodic array; permittivity; resonant frequency function; Arrays; Artificial neural networks; Magnetic materials; Metamaterials; Permeability; Permittivity; Resonant frequency; Metamaterials; artificial neural networks; split ring resonators;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International

Conference_Location

Natal

ISSN

Pending

Print_ISBN

978-1-4577-1662-1

Type

conf

DOI

10.1109/IMOC.2011.6169403

Filename

6169403