2012
DOI: 10.1103/physrevlett.109.155901
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Effect of Polydispersity on Diffusion in Random Obstacle Matrices

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Cited by 24 publications
(25 citation statements)
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“…40 It was also found that the diffusion coefficient for a long time near the percolation threshold scales as D z 3 m where 3 ¼ |c À c c |/c c with m z 4.34. This value of the exponent m is different from the pervious prediction obtained from the percolation theory and simulations, 50 where m ¼ 1.31. This probably results from the completely different transport mechanism in our model and mechanisms proposed in continuous models (represented by the Lorentz model or by the DMD model) and in models based on a lattice.…”
Section: Discussioncontrasting
confidence: 81%
See 1 more Smart Citation
“…40 It was also found that the diffusion coefficient for a long time near the percolation threshold scales as D z 3 m where 3 ¼ |c À c c |/c c with m z 4.34. This value of the exponent m is different from the pervious prediction obtained from the percolation theory and simulations, 50 where m ¼ 1.31. This probably results from the completely different transport mechanism in our model and mechanisms proposed in continuous models (represented by the Lorentz model or by the DMD model) and in models based on a lattice.…”
Section: Discussioncontrasting
confidence: 81%
“…75 The problem with no-universality of the m exponent in 2D simulations was reported later in ref. 50, when the Discontinuous Molecular Dynamic (DMD) simulations and the spatial tessellation were used to investigate the effect of polydispersity in obstacle size on the solute diffusion. On the other hand perfect agreement between the expected scaling behavior of m and simulation results in the case of the two-dimensional Lorentz model was reported.…”
Section: Dynamic Behavior Near the Critical Point: The Percolationmentioning
confidence: 99%
“…In the RLG, a spherical particle of radius σ (the tracer) elastically bounces off Poisson-distributed point obstacles (scatterers). When scatterers are sparse, the tracer motion is diffusive after just a few collisions [6], but upon increasing the number density of obstacles, ρ, the tracer first develops an increasingly long subdiffusive regime and then becomes fully localized beyond a finite ρ p [7][8][9]. Interestingly, the onset of dynamical arrest in the RLG can be mapped onto the void percolation transition for overlapping, Poisson-distributed spheres (as can be seen by exchanging the tracer's size with the scatterers'), which provides a static interpretation for the phenomenon.…”
Section: Introductionmentioning
confidence: 99%
“…Evidence for the robustness of the universality class with respect to structural correlations has been collected earlier [57], e.g., by introducing polydisperse obstacles [58]. However, there the simulation was for 2D systems, where the exponent relation equation (1) [59] with the same conclusion that the exponent d w is robust, yet for dissipative particle dynamics (DPD) and with significantly lower statistical accuracy.…”
mentioning
confidence: 98%