Electronic transport properties of WS2 using ensemble Monte Carlo method

dc.contributor.authorAlyörük, M. Derya
dc.date.accessioned2024-07-08T06:32:03Z
dc.date.available2024-07-08T06:32:03Z
dc.date.issued2024
dc.departmentSabire Yazıcı Fen Edebiyat Fakültesi
dc.description.abstractThe electronic transport characteristics of tungsten disulfide (WS2) sheets are studied using the ensemble Monte Carlo technique in the presence of intrinsic scattering mechanisms only. The transport properties of the material are obtained in a two-valley model where intra- and inter-valley scatterings are considered in K and Q valleys. The velocity overshoot effect is observed for some applied field values. Negative differential phenomena are seen for some values of the energy difference between K and Q valleys ( ? E K Q ), therefore ? E K Q and the effective mass of carriers in the Q valley has a critical role in the transport and mobility characteristics of WS2. The mobility of carriers is calculated as a function of temperature and the results are compatible with some existing theoretical and experimental predictions.
dc.identifier.doi10.1088/1361-6641/ad2ec6
dc.identifier.issn0268-1242
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ2
dc.identifier.urihttps:/dx.doi.org/10.1088/1361-6641/ad2ec6
dc.identifier.urihttps://hdl.handle.net/20.500.12451/12080
dc.identifier.volume39en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Physics
dc.relation.ispartofSemiconductor Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDrift Velocity
dc.subjectEnsemble Monte Carlo
dc.subjectMobility
dc.subjectScattering
dc.subjectTransport
dc.subjectTungsten Disulfide (WS2)
dc.titleElectronic transport properties of WS2 using ensemble Monte Carlo method
dc.typeArticle

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