Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/184350 |
Resumo: | 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. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystalsphotonic crystalphotonic band gapmultilayer perceptronpredictionWe 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Campinas, Sch Elect & Comp Engn FEEC, Campinas, SP, BrazilSao Paulo Fed Inst Educ Sci & Technol IFSP, Hortolandia, BrazilSao Paulo State Univ UNESP, Sao Joao Da Boa Vista, BrazilSao Paulo State Univ UNESP, Sao Joao Da Boa Vista, BrazilCNPq: 312110/2016-2FAPESP: 2015/24517-8IeeeUniversidade Estadual de Campinas (UNICAMP)Sao Paulo Fed Inst Educ Sci & Technol IFSPUniversidade Estadual Paulista (Unesp)Ferreira, Adriano da SilvaMalheiros Silveira, Gilliard Nardel [UNESP]Hernandez Figueroa, Hugo EnriqueIEEE2019-10-04T11:56:53Z2019-10-04T11:56:53Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52018 Sbfoton International Optics And Photonics Conference (sbfoton Iopc). New York: Ieee, 5 p., 2018.http://hdl.handle.net/11449/184350WOS:000458662800043Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Sbfoton International Optics And Photonics Conference (sbfoton Iopc)info:eu-repo/semantics/openAccess2021-10-23T02:05:48Zoai:repositorio.unesp.br:11449/184350Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:41:33.503803Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
title |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
spellingShingle |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals Ferreira, Adriano da Silva photonic crystal photonic band gap multilayer perceptron prediction |
title_short |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
title_full |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
title_fullStr |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
title_full_unstemmed |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
title_sort |
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals |
author |
Ferreira, Adriano da Silva |
author_facet |
Ferreira, Adriano da Silva Malheiros Silveira, Gilliard Nardel [UNESP] Hernandez Figueroa, Hugo Enrique IEEE |
author_role |
author |
author2 |
Malheiros Silveira, Gilliard Nardel [UNESP] Hernandez Figueroa, Hugo Enrique IEEE |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Sao Paulo Fed Inst Educ Sci & Technol IFSP Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Ferreira, Adriano da Silva Malheiros Silveira, Gilliard Nardel [UNESP] Hernandez Figueroa, Hugo Enrique IEEE |
dc.subject.por.fl_str_mv |
photonic crystal photonic band gap multilayer perceptron prediction |
topic |
photonic crystal photonic band gap multilayer perceptron prediction |
description |
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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 2019-10-04T11:56:53Z 2019-10-04T11:56:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2018 Sbfoton International Optics And Photonics Conference (sbfoton Iopc). New York: Ieee, 5 p., 2018. http://hdl.handle.net/11449/184350 WOS:000458662800043 |
identifier_str_mv |
2018 Sbfoton International Optics And Photonics Conference (sbfoton Iopc). New York: Ieee, 5 p., 2018. WOS:000458662800043 |
url |
http://hdl.handle.net/11449/184350 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2018 Sbfoton International Optics And Photonics Conference (sbfoton Iopc) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
5 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129347612049408 |