Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 2 von 228
IEEE transactions on electron devices, 2020-12, Vol.67 (12), p.5676-5684
2020
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
Resistive Analysis of Scattering-Dependent Electrical Transport in Single-Wall Carbon-Nanotube Networks
Ist Teil von
  • IEEE transactions on electron devices, 2020-12, Vol.67 (12), p.5676-5684
Ort / Verlag
New York: IEEE
Erscheinungsjahr
2020
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
  • With the development of separation and sorting techniques, highly enriched semiconducting single-walled carbon nanotubes (SWNTs) have become widely accessible, which has led to the rapid growth of high-performance solution-processed SWNT-based thin-film field-effect transistors (TFTs) showing capabilities comparable to the ideal single-SWNT FETs. With such improvements, theoretical studies and detailed analyses of these networks have become necessary. In this work, a model justifying the near-ideal electrical transport in SWNT networks is presented. The field-dependent resistive properties of the networks are calculated using a numerical solver based on the derived individual resistances of SWNTs and the intertube couplings. The model is capable of simulating mixed SWNT networks consisting of both metallic and semiconducting nanotubes of varying chiralities. Our analysis reveals that the high electrical currents in networks could be largely attributed to the suppression of phonon scattering and strong intertube couplings in highly dense SWNT networks (>30-40 SWNTs<inline-formula> <tex-math notation="LaTeX">/{\mu m}^{2} </tex-math></inline-formula>). Comparisons between the simu- lated and experimental results indicate good agreement thereby demonstrating the accuracy of the proposed model.
Sprache
Englisch
Identifikatoren
ISSN: 0018-9383
eISSN: 1557-9646
DOI: 10.1109/TED.2020.3029734
Titel-ID: cdi_ieee_primary_9241797

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX