Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/342540
Type: Artigo
Title: Multilayer perceptron models for band diagram prediction in bi-dimensional photonic crystals
Author: Da Silva Ferreira, A.
Nardel Malheiros Silveira, G.
Hernandez Figueroa, H.E.
Abstract: We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties to BDs of triangular-and square-lattice photonic crystals. We demonstrate that fast-Training MLP models are able to estimate accurate BDs and existing photonic band gaps through rapid computations.
Subject: Cristais fotônicos 2D
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/SBFoton-IOPC.2018.8610926
Address: https://ieeexplore.ieee.org/document/8610926
Date Issue: 2019
Appears in Collections:FEEC - Artigos e Outros Documentos

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