Extracting Complex Permittivity of Materials by Gaussian Process Regression Using the Transmission Parameter at Sub-THz

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dc.authoridGUNESER, Muhammet Tahir/0000-0003-3502-2034
dc.contributor.authorGuneser, M. Tahir
dc.contributor.authorAtasoy, Ferhat
dc.date.accessioned2024-09-29T15:51:29Z
dc.date.available2024-09-29T15:51:29Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe interaction between electromagnetic waves and materials is related to dielectric properties of materials, which have been used for technological applications in many fields, like polymers. Extracting complex permittivity values can be used to define the materials by using a specific wavelength in the fields of communication, optics or high-frequency electronics. This paper summarizes obtaining complex permittivity of materials by using free space measurement methods. A non-destructive/non-contactless measurement method was used to obtain S-parameters using a vector network analyzer. The Gaussian process regression (GPR) method, which is an artificial intelligence (AI) tool, is proposed as an alternative to numerical and analytical calculation methods to obtain complex permittivity value, and the results were confirmed by the Newton-Raphson method. GPR results were obtained to be more accurate than that of well-known methods and other alternative AI methods. In previous studies, complex permittivity has been extracted by using imaginary and real parts of the data together. Instead, with GPR, either the real and imaginative part of the S21 parameters can be used together or the real and imaginary parts of the complex permittivity can be estimated separately, depending on the input values of the proposed estimation method.en_US
dc.identifier.doi10.1007/s11664-019-07716-3
dc.identifier.endpage688en_US
dc.identifier.issn0361-5235
dc.identifier.issn1543-186X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85074465263en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage681en_US
dc.identifier.urihttps://doi.org/10.1007/s11664-019-07716-3
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4099
dc.identifier.volume49en_US
dc.identifier.wosWOS:000494192100005en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of Electronic Materialsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComplex permittivityen_US
dc.subjectfree space measurementen_US
dc.subjectGaussian process regressionen_US
dc.subjectmicrowave spectroscopyen_US
dc.subjectNewton-Raphsonen_US
dc.titleExtracting Complex Permittivity of Materials by Gaussian Process Regression Using the Transmission Parameter at Sub-THzen_US
dc.typeArticleen_US

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