Effects of PCPDTBT:PCBM ratio on the electrical analysis and the prediction of I-V data using machine learning algorithms for Au/PCPDTBT:PCBM/n-Si MPS SBDs

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dc.contributor.authorÇelik, Ömer Berkan
dc.contributor.authorTaş, Burak
dc.contributor.authorUz, Özgün
dc.contributor.authorŞağban, Hüseyin Muzaffer
dc.contributor.authorÖzmen, Özge Tüzün
dc.date.accessioned2025-03-21T07:38:22Z
dc.date.available2025-03-21T07:38:22Z
dc.date.issued2023
dc.departmentİzmir Bakırçay Üniversitesi
dc.descriptionBBAP.2022.012
dc.description.abstractIn this study, Au/Poly
dc.identifier.endpage44
dc.identifier.issn2757-9778
dc.identifier.issue1
dc.identifier.startpage36
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2766
dc.identifier.urihttps://dergipark.org.tr/tr/pub/aita/issue/77113/1268489
dc.identifier.volume3
dc.language.isoen
dc.publisherİzmir Bakırçay Üniversitesi
dc.relation.ispartofArtificial Intelligence Theory and Applications
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250319
dc.subjectSchottky barrier diode
dc.subjectPCPDTBT:PCBM ratio
dc.subjectelectrical analysis
dc.subjectI-V data
dc.subjectmachine learning
dc.titleEffects of PCPDTBT:PCBM ratio on the electrical analysis and the prediction of I-V data using machine learning algorithms for Au/PCPDTBT:PCBM/n-Si MPS SBDs
dc.typeArticle

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