Rottereau M, Gimel J C, Nicolai T, Durand D
Polyméres Colloïdes Interfaces, UMR CNRS, Université du Maine, F-72085 Le Mans cedex 9, France.
Eur Phys J E Soft Matter. 2004 Oct;15(2):133-40. doi: 10.1140/epje/i2004-10044-x.
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(c)). For m < m(c), they are the same as obtained in a dilute DLCA process and for m >> m(c) they are the same as obtained in a static percolation process. m(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.
在广泛的浓度范围内,对扩散限制簇聚和凝胶化进行了晶格和非晶格蒙特卡罗模拟。簇的大规模结构和尺寸分布的特征是在一个特征尺寸(m(c))处发生交叉。对于m < m(c),它们与在稀溶液扩散限制簇聚过程中得到的相同,而对于m >> m(c),它们与在静态渗流过程中得到的相同。m(c)由簇的重叠决定,并随粒子浓度的增加而减小。大簇的生长速率是凝胶时间缩减后的时间的通用函数。晶格和非晶格模拟的大规模结构和时间特性是相同的。非晶格模拟中形成的凝胶中每个粒子的平均连接度与浓度无关,但其分布取决于浓度。