Semi-Automatic Analysis of Gyrotropic Semiconductor Waveguides Using Neural Network

• Authors: D. Plonis , V. Malisauskas , A. Serackis
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

84.40.Az   07.05.Mh  

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2011
• Volume: 119
• Issue: 4
• Pages: 542-547

Dates

published

2011-04

References

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Identifiers

DOI

10.12693/APhysPolA.119.542