Random networks of carbon nanotubes optimized for transistor mass-production: searching for ultimate performance

Žeželj, Milan; Stanković, Igor

doi:10.1088/0268-1242/31/10/105015

Cited by 3 publications

(2 citation statements)

References 52 publications

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“…By contrast, within the second approach, the host matrix is completely ignored; the conducting fillers are considered to form an RRN of irregular geometry but with equal conductivity of its conductors. 4,5,13,15,16,29,[37][38][39][40][41][42][43] Obviously, only composites with filler concentrations exceeding the percolation threshold can be considered using this method. We will denote this approach as Model II.…”

Section: Introductionmentioning

confidence: 99%

Electrical conductance of two-dimensional composites with embedded rodlike fillers: an analytical consideration and comparison of two computational approaches

Tarasevich,

Vodolazskaya,

Eserkepov

et al. 2019

Preprint

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Using Monte Carlo simulation, we studied the electrical conductance of two-dimensional films. The films consisted of a poorly conductive host matrix and highly conductive rodlike fillers (rods). The rods were of various lengths, obeying a log-normal distribution. They were allowed to be aligned along a given direction. The impacts of length dispersity and the extent of rod alignment on the insulator-to-conductor phase transition were studied. Two alternative computational approaches were compared. Within Model I, the films were transformed into resistor networks with regular structures and randomly distributed conductances. Within Model II, the films were transformed into resistor networks with irregular structures but with equal conductivities of the conductors. Comparison of the models evidenced similar behavior in both models when the concentration of fillers exceeded the percolation threshold. Some analytical results were obtained: (i) the relationship between the number of fillers per unit area and the transmittance of the film within Model I, (ii) the electrical conductance of the film for dense networks within Model II.

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Section: Introductionmentioning

confidence: 99%

Electrical conductance of two-dimensional composites with embedded rodlike fillers: an analytical consideration and comparison of two computational approaches

Tarasevich,

Vodolazskaya,

Eserkepov

et al. 2019

Preprint

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show abstract

“…In general, the electrical conductivity of CNT-filled polymers is affected by many factors, such as the concentration of CNTs within the matrix, the diameter and the length of CNT fillers [12][13][14][15][16][17]. Compared with micron-scale spherical conducting particles filled composites, one-dimensional scales of composites filled with CNTs have significantly lower percolation thresholds, which can obviously retain the excellent mechanical properties of the polymer matrix.…”

Section: Introductionmentioning

confidence: 99%

Numerical and experimental study of radiation induced conductivity change of carbon nanotube filled polymers

Liu

Sun

et al. 2017

Nanotechnology

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Measuring the conductivity changes of sensing materials to detect a wide range of radiation energy and dosage is one of the major sensing mechanisms of radiation sensors. Carbon nanotube (CNT) filled composites are suitable for sensing radiation because of the extraordinary electrical properties of CNTs and the CNT-network formed inside the polymer matrix. Although the use of CNT-based nanocomposites as potential radiation sensing materials has been widely studied, there is still a lack of theoretical models to analyze the relationship between electrical conductivity and radiation dosages. In this article, we propose a 3D model to describe the electrical conductivity of CNT-based nanocomposites when being irradiated by ionizing radiation. The Monte Carlo method has been employed to calculate radiation intensity, CNT concentration and alignment's influence on the electrical conductivity. Our simulation shows a better agreement when CNT loading is between the percolation threshold and 3% volume fraction. Radiation experiments have been performed to verify the reliability of our model to illustrate a power function relationship between the electrical conductivity of a CNT-filled polymer and radiation intensity. In addition, the predicted alignment to obtain the best sensitivity for radiation sensing has been discussed to help with CNT-network building in the fabrication process.

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Electrical conductance of two-dimensional composites with embedded rodlike fillers: An analytical consideration and comparison of two computational approaches

Tarasevich

Vodolazskaya

Eserkepov

et al. 2019

Journal of Applied Physics

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Using Monte Carlo simulation, we studied the electrical conductance of two-dimensional films. The films consisted of a poorly conductive host matrix and highly conductive rodlike fillers (rods). The rods were of various lengths, obeying a log-normal distribution. They were allowed to be aligned along a given direction. The impacts of the length dispersity and the extent of the rod alignment on the insulator-to-conductor phase transition were studied. Two alternative computational approaches were compared. Within Model I, the films were transformed into resistor networks with regular structures and randomly distributed conductances. Within Model II, the films were transformed into resistor networks with irregular structures but with equal conductivities of the conductors. A comparison of the models evidenced similar behavior in both models when the concentration of fillers exceeded the percolation threshold. However, a fairly fine mesh should be used in Model I to obtain a reasonable estimation of the electrical conductance. The electrical conductance is slightly overestimated in Model I. In anisotropic systems, the length dispersity of fillers has a more pronounced effect on the electrical conductance along the direction of the rod alignment. Some analytical results were obtained: (i) the relationship between the number of fillers per unit area and the transmittance of the films within Model I and (ii) the electrical conductance of the films for dense networks within Model II.

show abstract

Random networks of carbon nanotubes optimized for transistor mass-production: searching for ultimate performance

Cited by 3 publications

References 52 publications

Electrical conductance of two-dimensional composites with embedded rodlike fillers: an analytical consideration and comparison of two computational approaches

Electrical conductance of two-dimensional composites with embedded rodlike fillers: an analytical consideration and comparison of two computational approaches

Numerical and experimental study of radiation induced conductivity change of carbon nanotube filled polymers

Electrical conductance of two-dimensional composites with embedded rodlike fillers: An analytical consideration and comparison of two computational approaches

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