Photoelastic dispersion coefficient by holographic reconstruction with neural networks and the Fresnel method

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dc.contributor.authorPRADO, FELIPE M.pt_BR
dc.contributor.authorSOUZA, PEDRO H.M. dept_BR
dc.contributor.authorSILVA, SIDNEY L. dapt_BR
dc.contributor.authorWETTER, NIKLAUS U.pt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoINTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCEpt_BR
dc.date.accessioned2024-02-08T15:11:03Z
dc.date.available2024-02-08T15:11:03Z
dc.date.eventoJuly 31 - August 3, 2023pt_BR
dc.description.abstractHere we report the characterization of the photoelastic dispersion coefficient using digital holography with two distinct reconstruction methods: one based on the Fresnel method and the other utilizing convolutional neural networks (CNN). The CNN was trained with reconstruction from the Fresnel method and was able to provide reconstructions with an average Mean Squared Error of 0.006.pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipIDFAPESP: 22/15276-0pt_BR
dc.event.siglaOMN; SBFoton IOPCpt_BR
dc.identifier.citationPRADO, FELIPE M.; SOUZA, PEDRO H.M. de; SILVA, SIDNEY L. da; WETTER, NIKLAUS U. Photoelastic dispersion coefficient by holographic reconstruction with neural networks and the Fresnel method. In: INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS; SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, July 31 - August 3, 2023, Campinas, SP. <b>Proceedings...</b> Piscataway, NJ, USA: IEEE, 2023. DOI: <a href="https://dx.doi.org/10.1109/OMN/SBFOTONIOPC58971.2023.10230956">10.1109/OMN/SBFOTONIOPC58971.2023.10230956</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/34584.
dc.identifier.doi10.1109/OMN/SBFOTONIOPC58971.2023.10230956pt_BR
dc.identifier.orcid0000-0002-9379-9530pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9379-9530
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/34584
dc.localPiscataway, NJ, USApt_BR
dc.local.eventoCampinas, SPpt_BR
dc.publisherIEEEpt_BR
dc.rightsopenAccesspt_BR
dc.subjectphotoelasticity
dc.subjectstress analysis
dc.subjectholography
dc.subjectneural networks
dc.subjectfresnel coefficient
dc.subjectdispersion relations
dc.titlePhotoelastic dispersion coefficient by holographic reconstruction with neural networks and the Fresnel methodpt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorNIKLAUS URSUS WETTER
ipen.autorFELIPE MAIA PRADO
ipen.codigoautor919
ipen.codigoautor15254
ipen.contributor.ipenauthorNIKLAUS URSUS WETTER
ipen.contributor.ipenauthorFELIPE MAIA PRADO
ipen.date.recebimento24-02
ipen.event.datapadronizada2023pt_BR
ipen.identifier.ipendoc30190pt_BR
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublication464db0c6-6072-480b-b899-81848893f7eb
relation.isAuthorOfPublication8541440e-c146-481b-8581-9917ee506af7
relation.isAuthorOfPublication.latestForDiscovery8541440e-c146-481b-8581-9917ee506af7
sigepi.autor.atividadeWETTER, NIKLAUS U.:919:910:Npt_BR
sigepi.autor.atividadePRADO, FELIPE M.:15254:910:Spt_BR

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