Semi-Automatic Analysis of Gyrotropic Semiconductor Waveguides Using Neural Network |
| D. Plonis, V. Malisauskas and A. Serackis
Department of Electronic Systems, Vilnius Gediminas Technical University (VGTU), Naugarduko str., 41-425, LT-03227 Vilnius, Lithuania |
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| This paper focuses on the analysis technique of gyrotropic circular cylindrical semiconductor waveguide by the use of an electrodynamical model. Authors propose the semi-automatic extraction of the dispersion characteristics by the use of single-layer perceptron neural network. The waveguide analysis algorithm consists of four main stages: initialization of system parameters, evaluation of transcendental linear dispersion equation system, extraction of dispersion characteristics and evaluation of the waveguide broad bandwidth. In this paper three types of waveguides (n-InP, n-InSb and p-InP) are analysed using a proposed algorithm. According to the results of analysis, the use of gyrotropic n-InP and p-InP semiconductor, semiconductor-dielectric waveguides are more preferred than to n-InSb waveguides due to their wider broad bandwidth. |
| DOI: 10.12693/APhysPolA.119.542 PACS numbers: 84.40.Az, 07.05.Mh |