Abstract.
Lattice and off-lattice Monte Carlo simulations of diffusion-limited cluster aggregation and gelation were done over a broad range of concentrations. The large-scale structure and the size distribution of the clusters are characterized by a crossover at a characteristic size (\(m_{\rm c}\)). For \(m < m_{\rm c}\), they are the same as obtained in a dilute DLCA process and for \(m \gg m_{\rm c}\) they are the same as obtained in a static percolation process. \(m_{\rm c}\) is determined by the overlap of the clusters and decreases with increasing particle concentration. The growth rate of large clusters is a universal function of time reduced by the gel time. The large-scale structural and temporal properties are the same for lattice and off-lattice simulations. The average degree of connectivity per particle in the gels formed in off-lattice simulations is independent of the concentration, but its distribution depends on the concentration.
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Received: 27 April 2004, Published online: 26 October 2004
PACS:
64.60.Ak Renormalization-group, fractal, and percolation studies of phase transitions - 02.70.Uu Applications of Monte Carlo methods
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Rottereau, M., Gimel, J.C., Nicolai, T. et al. Monte Carlo simulation of particle aggregation and gelation: I. Growth, structure and size distribution of the clusters. Eur. Phys. J. E 15, 133–140 (2004). https://doi.org/10.1140/epje/i2004-10044-x
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DOI: https://doi.org/10.1140/epje/i2004-10044-x