Simulation of the electrical conductivity of two-dimensional films with aligned rod-like conductive fillers: Effect of the filler length dispersity

Tarasevich, Yuri Yu.; Vodolazskaya, Irina V.; Eserkepov, Andrei V.; Goltseva, Valeria A.; Selin, Petr G.; Lebovka, Nikolaï

doi:10.1063/1.5051090

Cited by 13 publications

(10 citation statements)

References 52 publications

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“…Networks of preferentially aligned MNWs display increased conductivity (compared to random orientation) in the direction of alignment but suffer greater conductivity decrease perpendicular to the direction of alignment (see Figure ). [ 117,118 ] Mutiso et al. demonstrated that high aspect ratio nanowires can be instrumental in achieving low network sheet resistance while maintaining high transparency.…”

Section: Modeling and Simulations To Understand Failurementioning

confidence: 99%

Failing Forward: Stability of Transparent Electrodes Based on Metal Nanowire Networks

et al. 2020

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Metal nanowire (MNW)‐based transparent electrode technologies have significantly matured over the last decade to become a prominent low‐cost alternative to indium tin oxide (ITO). Beyond reaching the same level of performance as ITO, MNW networks offer additional advantages including flexibility and low materials cost. To facilitate adoption of MNW networks as a replacement to ITO, they must overcome their inherent stability issues while maintaining their properties and cost‐effectiveness. Herein, the fundamental failure mechanisms of MNW networks are discussed in detail. Recent strategies to computationally model MNWs from the nano‐ to macroscale and suggest future work to capture dynamic failure to unravel mechanisms that account for convolution of the failure modes are highlighted. Strategies to characterize MNW network failure in situ and postmortem are also discussed. In addition, recent work about improving the stability of MNW networks via encapsulation is discussed. Lastly, a perspective is given on how to frame the requirements of MNW‐encapsulant hybrids with reference to their target applications, namely: solar cells, transparent film heaters, sensors, and displays. A cost analysis to comment on the feasibility of implementing MNW hybrids is provided, and critical areas to focus on for future work on MNW networks are suggested.

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Section: Modeling and Simulations To Understand Failurementioning

confidence: 99%

Failing Forward: Stability of Transparent Electrodes Based on Metal Nanowire Networks

et al. 2020

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“…To calculate the electrical conductivity of RRN the Frank-Lobb algorithm based on the Y-∆ transformation was applied [53]. More detailed information on electrical conductivity calculation can be found elsewhere [54,55].…”

Section: Computational Modelmentioning

confidence: 99%

Connectedness percolation in the random sequential adsorption packings of elongated particles

Lebovka,

Tatochenko,

Vygornitskii

et al. 2020

Preprint

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Connectedness percolation phenomena in two-dimensional packings of elongated particles (discorectangles) were studied numerically. The packings were produced using random sequential adsorption (RSA) off-lattice model with preferential orientations of particles along a given direction. The partial ordering was characterized by order parameter S, with S = 0 for completely disordered films (random orientation of particles) and S = 1 for completely aligned particles along the horizontal direction x. The aspect ratio (length-to-width ratio) for the particles was varied within the range ε ∈ [1; 100]. Analysis of connectivity was performed assuming a core-shell structure of particles. The value of S affected the structure of packings, formation of long-range connectivity and electrical conductivity behavior. The effects were explained accounting for the competition between the particles' orientational degrees of freedom and the excluded volume effects. For aligned deposition, the anisotropy in electrical conductivity was observed and the values along alignment direction, σx, were larger than the values in perpendicular direction, σy. The anisotropy in localization of percolation threshold was also observed in finite sized packings, but it disappeared in the limit of infinitely large systems.

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“…Therefore, we can only use this method for estimation of the behavior of electrical conductivity. Similar approaches have previously been applied for the estimation of electrical conductivities of aligned rods [62,63] and dried films of rods [64].…”

Section: Computational Modelmentioning

confidence: 99%

Sedimentation of a suspension of rods: Monte Carlo simulation of a continuous two-dimensional problem

et al. 2019

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The sedimentation of a two dimensional suspension containing rods was studied by means of Monte Carlo (MC) simulations. An off-lattice model with continuous positional and orientational degrees of freedom was considered. The initial state before sedimentation was produced using a model of random sequential adsorption. During such sedimentation, the rods undergo translational and rotational Brownian motions. The MC simulations were run at different initial number densities (the numbers of rods per unit area), ρi, and sedimentation rates, u. For sediment films, the spatial distributions of the rods, the order parameters and the electrical conductivities were examined. Different types of sedimentation-driven self-assembly and anisotropy of the electrical conductivity were revealed inside the sediment films. This anisotropy can be finely regulated by changes in the values of ρi and u.

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Simulation of the electrical conductivity of two-dimensional films with aligned rod-like conductive fillers: Effect of the filler length dispersity

Cited by 13 publications

References 52 publications

Failing Forward: Stability of Transparent Electrodes Based on Metal Nanowire Networks

Failing Forward: Stability of Transparent Electrodes Based on Metal Nanowire Networks

Connectedness percolation in the random sequential adsorption packings of elongated particles

Sedimentation of a suspension of rods: Monte Carlo simulation of a continuous two-dimensional problem

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