Crossed Nanotube Junctions

Fuhrer, Michael S.; Nygård, Jesper; Shih, L.; Forero, Manu; Yoon, Yoosik; Mazzoni, Mário S. C.; Choi, Hyoung Joon; Ihm, Jisoon; Louie, Steven G.; Zettl, A.; McEuen, Paul L.

doi:10.1126/science.288.5465.494

Cited by 1,159 publications

(808 citation statements)

References 17 publications

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“…The result obtained is in broad agreement with independent experimental results [18,19]. Nonetheless, it is important to point out that in real CNT films the junction resistance can vary widely, depending on the chirality of the nanotubes involved as well as the diameter of the bundles, and an exact determination of these contact resistances is still an open problem.…”

Section: Applicationsupporting

confidence: 77%

Electronic transport on carbon nanotube networks: A multiscale computational approach

Pereira

Ferreira

2011

Nano Communication Networks

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Carbon nanotube networks are one of the candidate materials to function as malleable, transparent, conducting films, with the technologically promising application of being used as flexible electronic displays. Nanotubes disorderly distributed in a film offers many possible paths for charge carriers to travel across the entire system, but the theoretical description of how this charge transport occurs is rather challenging for involving a combination of intrinsic nanotube properties with network morphology aspects. Here we attempt to describe the transport properties of such films in two different length scales. Firstly, from a purely macroscopic point of view we carry out a geometrical analysis that shows how the network connectivity depends on the nanotube concentration and on their respective aspect ratio. Once this is done, we are able to calculate the resistivity of a heavily disordered networked film. Comparison with experiment offers us a way to infer about the junction resistance between neighbouring nanotubes. Furthermore, in order to guide the frantic search for high-conductivity films of nanotube networks, we turn to the microscopic scale where we have developed a computationally efficient way for calculating the ballistic transport across these networks. While the ballistic transport is probably not capable of describing the observed transport properties of these films, it is undoubtedly useful in establishing an upper value for their conductivity. This can serve as a guideline in how much room there is for improving the conductivity of such networks.

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Section: Applicationsupporting

confidence: 77%

Electronic transport on carbon nanotube networks: A multiscale computational approach

Pereira

Ferreira

2011

Nano Communication Networks

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“…(1); the extracted value of E a ≈ 330 meV was found to be close to the expected range of Schottky barrier heights at junctions between individual metallic and semiconducting nanotubes, namely 190-290 meV [41]. The fractional contribution to the total conductance at 290 K from the activated term at was estimated to be 8% using the value G a ≈ 0.4 mS/sq and E a extracted from the fitting process.…”

Section: Resultsmentioning

confidence: 99%

High electrical conductance enhancement in Au-nanoparticle decorated sparse single-wall carbon nanotube networks

McAndrew

Baxendale

2013

Nanotechnology

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We report high electrical conductivity enhancement in sparse single-walled carbon nanotube networks by decoration with Au nanoparticles. The optimised hybrid network exhibited a sheet resistance of 650 /sq: 1/1500 of the resistance of the host undecorated network, with a negligible optical transmission penalty (>90% transmittance at 550 nm wavelength). The electrical transport at room temperature in host and decorated networks was dominated by 2-dimensional variable range hopping.The high conductance enhancement was due to positive charge transfer from the decorating Au nanoparticles in intimate contact with the host network causing a Fermi energy shift into the high density of states at a van Hove singularity and enhanced electron delocalisation relative to the host network which beneficially modifies the hopping parameters in such a way that the network behaves as an integral whole. The effect is most pronounced when the nanoparticle diameter is comparable to the electron mean free path in the bulk material at room temperature and there is minimum nanoparticle agglomeration. For higher than optimal values of nanoparticles per unit area or nanoparticle diameter, the conductivity enhancement is countered by metallic inclusions in the current pathways that are of higher resistance than the VRH-controlled elements.

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“…It should be mentioned that this model does not distinguish between SWCNTs and MWCNTs. In addition, even though the electrical characteristics of a junction varies depending on SWCNT chirality (i.e., whether they are metallic or semiconducting) and the intersection of two different types of nanotubes to form the junction [56], R jct was assumed to be 240 kW specific to metal- Figure 4. A kinked CNT can be described by the ratio of height-to-length of CNT (i.e., height ratio or HR).…”

Section: Strain Sensing Simulationmentioning

confidence: 99%

Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

Lee¹,

Loh²

2017

Nanotechnology

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Carbon nanotubes can be randomly deposited in polymer thin film matrices to form nanocomposite strain sensors. However, a computational framework that enables the direct design of these nanocomposite thin films is still lacking. The objective of this study is to derive an experimentally validated and two-dimensional numerical model of carbon nanotube-based thin film strain sensors. This study consisted of two parts. First, multi-walled carbon nanotube (MWCNT)-Pluronic strain sensors were fabricated using vacuum filtration, and their physical, electrical, and electromechanical properties were evaluated. Second, scanning electron microscope images of the films were used for identifying topological features of the percolated MWCNT network, where the information obtained was then utilized for developing the numerical model. Validation of the numerical model was achieved by ensuring that the area ratios (of MWCNTs relative to the polymer matrix) were equivalent for both the experimental and modeled cases. Strain sensing behavior of the percolation-based model was simulated and then compared to experimental test results.

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Crossed Nanotube Junctions

Cited by 1,159 publications

References 17 publications

Electronic transport on carbon nanotube networks: A multiscale computational approach

Electronic transport on carbon nanotube networks: A multiscale computational approach

High electrical conductance enhancement in Au-nanoparticle decorated sparse single-wall carbon nanotube networks

Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

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