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Influence of the Source Doping Concentration on the Subthreshold Swing (S) of Tunneling Field-Effect Transistors (TFETs)

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dc.contributor.authorHuh, In-
dc.contributor.authorChoi, Woo Young-
dc.date.accessioned2022-10-26T07:21:29Z-
dc.date.available2022-10-26T07:21:29Z-
dc.date.created2022-10-20-
dc.date.issued2016-10-
dc.identifier.citationJournal of Nanoscience and Nanotechnology, Vol.16 No.10, pp.10241-10246-
dc.identifier.issn1533-4880-
dc.identifier.urihttps://hdl.handle.net/10371/186783-
dc.description.abstractThe subthreshold swing (S) of tunneling field-effect transistors (TFETs) has been modeled by using the Landauer formula, Wentzel-Kramers-Brillouin (WKB) approximation, Kane's two band k . p model and Fermi-Dirac statistics. From the proposed model, it has been observed that TFET characteristics are determined by the Fermi-Dirac distribution in the subthreshold region and by the tunneling probability in the saturation region. Thus, higher source doping concentration leads to higher on-current thanks to the increase of tunneling probability. However, at the same time, high source doping concentration can make TFETs suffer from the metal-oxide-semiconductor FET (MOSFET)-like constant S due to the tail of the Fermi-Dirac distribution. Based on our proposed model, the design guideline has been proposed to optimize the source doping concentration.-
dc.language영어-
dc.publisherAmerican Scientific Publishers-
dc.titleInfluence of the Source Doping Concentration on the Subthreshold Swing (S) of Tunneling Field-Effect Transistors (TFETs)-
dc.typeArticle-
dc.identifier.doi10.1166/jnn.2016.13135-
dc.citation.journaltitleJournal of Nanoscience and Nanotechnology-
dc.identifier.wosid000387100600014-
dc.identifier.scopusid2-s2.0-84990986091-
dc.citation.endpage10246-
dc.citation.number10-
dc.citation.startpage10241-
dc.citation.volume16-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorChoi, Woo Young-
dc.type.docTypeArticle-
dc.description.journalClass1-
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