103 research outputs found

    Eden growth model for aggregation of charged particles

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    The stochastic Eden model of charged particles aggregation in two-dimensional systems is presented. This model is governed by two parameters: screening length of electrostatic interaction, λ\lambda , and short range attraction energy, EE. Different patterns of finite and infinite aggregates are observed. They are of following types of morphologies: linear or linear with bending, warm-like, DBM (dense-branching morphology), DBM with nucleus, and compact Eden-like. The transition between the different modes of growth is studied and phase diagram of the growth structures is obtained in λ,E\lambda, E co-ordinates. The detailed aggregate structure analysis, including analysis of their fractal properties, is presented. The scheme of the internal inhomogeneous structure of aggregates is proposed.Comment: Revtex, 9 pages with 12 postscript figure

    Two-step percolation in aggregating systems

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    The two-step percolation behavior in aggregating systems was studied both experimentally and by means of Monte Carlo (MC) simulations. In experimental studies, the electrical conductivity, σ\sigma, of colloidal suspension of multiwalled carbon nanotubes (CNTs) in decane was measured. The suspension was submitted to mechanical de-liquoring in a planar filtration-compression conductometric cell. During de-liquoring, the distance between the measuring electrodes continuously decreased and the CNT volume fraction φ\varphi continuously increased (from 10310^{-3} up to 0.3\approx 0.3% v/v). The two percolation thresholds at φ1103\varphi_{1}\lesssim 10^{-3} and φ2102\varphi_{2}\approx 10^{-2} can reflect the interpenetration of loose CNT aggregates and percolation across the compact conducting aggregates, respectively. The MC computational model accounted for the core-shell structure of conducting particles or their aggregates, the tendency of a particle for aggregation, the formation of solvation shells, and the elongated geometry of the conductometric cell. The MC studies revealed two smoothed percolation transitions in σ(φ)\sigma(\varphi) dependencies that correspond to the percolation through the shells and cores, respectively. The data demonstrated a noticeable impact of particle aggregation on anisotropy in electrical conductivity σ(φ)\sigma(\varphi) measured along different directions in the conductometric cell.Comment: 10 pages, 6 figure

    Percolation of the aligned dimers on a square lattice

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    Percolation and jamming phenomena are investigated for anisotropic sequential deposition of dimers (particles occupying two adjacent adsorption sites) on a square lattice. The influence of dimer alignment on the electrical conductivity was examined. The percolation threshold for deposition of dimers was lower than for deposition of monomers. Nevertheless, the problem belongs to the universality class of random percolation. The lowest percolation threshold (pc = 0.562) was observed for isotropic orientation of dimers. It was higher (pc = 0.586) in the case of dimers aligned strictly along one direction. The state of dimer orientation influenced the concentration dependence of electrical conductivity. The proposed model seems to be useful for description of the percolating properties of anisotropic conductors.Comment: 6 pages, 9 figures, submitted to EPJ

    Jamming and percolation of parallel squares in single-cluster growth model

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    This work studies the jamming and percolation of parallel squares in a single-cluster growth model. The Leath-Alexandrowicz method was used to grow a cluster from an active seed site. The sites of a square lattice were occupied by addition of the equal size k×kk \times k squares (E-problem) or a mixture of k×kk \times k and m×mm \times m (mkm \leqslant k) squares (M-problem). The larger k×kk \times k squares were assumed to be active (conductive) and the smaller m×mm \times m squares were assumed to be blocked (non-conductive). For equal size k×kk \times k squares (E-problem) the value of pj=0.638±0.001p_j = 0.638 \pm 0.001 was obtained for the jamming concentration in the limit of kk\rightarrow\infty. This value was noticeably larger than that previously reported for a random sequential adsorption model, pj=0.564±0.002p_j = 0.564 \pm 0.002. It was observed that the value of percolation threshold pcp_{\mathrm{c}} (i.e., the ratio of the area of active k×kk \times k squares and the total area of k×kk \times k squares in the percolation point) increased with an increase of kk. For mixture of k×kk \times k and m×mm \times m squares (M-problem), the value of pcp_{\mathrm{c}} noticeably increased with an increase of kk at a fixed value of mm and approached 1 at k10mk\geqslant 10m. This reflects that percolation of larger active squares in M-problem can be effectively suppressed in the presence of smaller blocked squares.Comment: 11 pages, 9 figure
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