Extracting the field-effect mobilities of random semiconducting single-walled carbon nanotube networks: a critical comparison of methods
The field-effect mobility is an important figure of merit for semiconductors such as random networks of single-walled carbon nanotubes (SWNTs). However, owing to their network properties and quantum capacitance, the standard models for field-effect transistors cannot be applied without modifications...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
7 November 2017
|
| In: |
Applied physics letters
Year: 2017, Jahrgang: 111, Heft: 19 |
| ISSN: | 1077-3118 |
| DOI: | 10.1063/1.5006877 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1063/1.5006877 Verlag, Volltext: https://aip.scitation.org/doi/full/10.1063/1.5006877 
|
| Verfasserangaben: | Stefan P. Schießl, Marcel Rother, Jan Lüttgens and Jana Zaumseil |
| Zusammenfassung: | The field-effect mobility is an important figure of merit for semiconductors such as random networks of single-walled carbon nanotubes (SWNTs). However, owing to their network properties and quantum capacitance, the standard models for field-effect transistors cannot be applied without modifications. Several different methods are used to determine the mobility with often very different results. We fabricated and characterized field-effect transistors with different polymer-sorted, semiconducting SWNT network densities ranging from low (≈6 μm−1) to densely packed quasi-monolayers (≈26 μm−1) with a maximum on-conductance of 0.24 μS μm−1 and compared four different techniques to evaluate the field-effect mobility. We demonstrate the limits and requirements for each method with regard to device layout and carrier accumulation. We find that techniques that take into account the measured capacitance on the active device give the most reliable mobility values. Finally, we compare our experimental results to a random-resistor-network model. |
|---|---|
| Beschreibung: | Gesehen am 04.05.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1077-3118 |
| DOI: | 10.1063/1.5006877 |