2017
DOI: 10.1103/physrevmaterials.1.046003
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Modeling carrier density dependent charge transport in semiconducting carbon nanotube networks

Abstract: Charge transport in a network of only semiconducting single-walled carbon nanotubes is modeled as a random-resistor network of tube-tube junctions. Solving Kirchhoff's current law with a numerical solver and taking into account the one-dimensional density of states of the nanotubes enables the evaluation of carrier density dependent charge transport properties such as network mobility, local power dissipation, and current distribution. The model allows us to simulate and investigate mixed networks that contain… Show more

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Cited by 38 publications
(66 citation statements)
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“…Much effort has been devoted to developing ways to dope nanotubes more strongly; however, this may not be desirable in all cases as there is an optimal level of doping (excess carrier density) above which the carrier mobility of nanotube films decreases (at least for semiconducting films) . Furthermore, as the resistivity of the nanotube film continues to be reduced, there comes a point when it is so low that it is no longer the limiting factor in performance due to other considerations and trade‐offs that must be made in regard to the front side metallization of larger active areas; as shown by analogy with state‐of‐the‐art commercial silicon PV in which the emitter resistivity can be in excess of 100 Ω sq −1 .…”
Section: Improving Performancementioning
confidence: 99%
“…Much effort has been devoted to developing ways to dope nanotubes more strongly; however, this may not be desirable in all cases as there is an optimal level of doping (excess carrier density) above which the carrier mobility of nanotube films decreases (at least for semiconducting films) . Furthermore, as the resistivity of the nanotube film continues to be reduced, there comes a point when it is so low that it is no longer the limiting factor in performance due to other considerations and trade‐offs that must be made in regard to the front side metallization of larger active areas; as shown by analogy with state‐of‐the‐art commercial silicon PV in which the emitter resistivity can be in excess of 100 Ω sq −1 .…”
Section: Improving Performancementioning
confidence: 99%
“…[111] These observations can be explained if one perceives the different nanotubes as analogs to the energetic sites in a disordered semiconductor such as the chromophores in a conjugated polymer. [258] This simple model, which completely neglects the transport along the nanotubes, can reproduce experimental data for a network of five different nanotube chiralities in terms of the carrier density dependence of the mobility and the distribution of current among the different nanotubes. This idea can be tested with a very simple model of a random mixed carbon nanotube network as shown in Figure 12d, where each nanotube has its particular 1D conduction subband as the energy level.…”
Section: Charge Transportmentioning
confidence: 80%
“…These gate‐voltage dependent EL spectra can be understood when considering the different bandgaps and thus conduction and valence band levels of the SWCNTs. Static and dynamic models of transport through the network can reproduce the experimental data . The EL of an LEFET can thus not only be used for spatial mapping of current paths (diffraction limited) but is also a result and reflection of the energy landscape for charge carriers in a mixed network.…”
Section: Lateral Single Layer and Ambipolar Lefetsmentioning
confidence: 99%
“…Furthermore, they can be used to gain unique insights into the charge transport in thin film semiconductors. Spatial maps of the electroluminescence from the channel as well as its spectral distribution depending on gate voltage and thus carrier density enable conclusions about contributions to the overall charge transport and current pathways by different fractions/areas of inhomogeneous semiconductors (e.g., conjugated polymers, single‐walled carbon nanotubes) that are not accessible otherwise. Hence, the LEFET is not a better or more complicated LED but a unique optoelectronic device with specific applications.…”
Section: Lefets Versus Ledsmentioning
confidence: 99%