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Computing Optical Properties of Photonic Crystals by Using Multilayer Perceptron and Extreme Learning Machine

2018; Institute of Electrical and Electronics Engineers; Volume: 36; Issue: 18 Linguagem: Inglês

10.1109/jlt.2018.2856364

ISSN

1558-2213

Autores

Adriano da Silva Ferreira, Gilliard N. Malheiros‐Silveira, Hugo E. Hernández‐Figueroa,

Tópico(s)

Optical Coatings and Gratings

Resumo

In this paper, dispersion relations (DRs) of photonic crystals (PhCs) are computed by multilayer perceptron (MLP) and extreme learning machine (ELM) artificial neural networks (ANNs). Bi- and tri-dimensional optimized structures presenting distinct DRs and photonic band gaps (PBGs) were selected for case studies. Optical properties of a set of PhCs with similar geometries and different dimensions were calculated by an electromagnetic solver in order to provide input data for ANN training and testing. We demonstrate that simple- and fast-training ANN models are capable of providing accurate DRs' curves in a very short time.

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