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Design of silicon Mach-Zehnder modulators employing deep neural networks

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dc.contributor.authorde Paula, Rômulo [UNESP]
dc.contributor.authorBustamante, Yesica R.R.
dc.contributor.authorSutili, Tiago
dc.contributor.authorFigueiredo, Rafael C.
dc.contributor.authorAbbade, Marcelo Luis F. [UNESP]
dc.contributor.authorAldaya, Ivan [UNESP]
dc.contributor.institutionCPQD - Optical Communication Solutions
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T12:48:26Z
dc.date.available2023-07-29T12:48:26Z
dc.date.issued2022-01-01
dc.description.abstractWe present an efficient o ptimization m ethod f or t he d esign o f silicon-on-insulator integrated Mach-Zehnder modulators based on a deep neural network that is capable of predicting the main figures of merit from the modulator design variables.en
dc.description.affiliationCPQD - Optical Communication Solutions, SP
dc.description.affiliationState University of São Paulo (UNESP), Campus of São João da Boa Vista, SP
dc.description.affiliationUnespState University of São Paulo (UNESP), Campus of São João da Boa Vista, SP
dc.description.sponsorshipFundo para o Desenvolvimento Tecnológico das Telecomunicações
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFundo para o Desenvolvimento Tecnológico das Telecomunicações: 01.19.0088.00
dc.description.sponsorshipIdFAPESP: 2015/24517-8
dc.description.sponsorshipIdCNPq: 311035/2018-3
dc.description.sponsorshipIdCNPq: 315391/2018-9
dc.description.sponsorshipIdCNPq: 432303/2018-9
dc.identifier.citationOptics InfoBase Conference Papers.
dc.identifier.scopus2-s2.0-85146766012
dc.identifier.urihttp://hdl.handle.net/11449/246710
dc.language.isoeng
dc.relation.ispartofOptics InfoBase Conference Papers
dc.sourceScopus
dc.titleDesign of silicon Mach-Zehnder modulators employing deep neural networksen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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