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Updated: Aug 21, 2026

Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations
Published on: March 21, 2019
Monte Carlo simulation of particle aggregation and gelation: I. Growth, structure and size distribution of the
M Rottereau1, J C Gimel, T Nicolai
1Polyméres Colloïdes Interfaces, UMR CNRS, Université du Maine, F-72085 Le Mans cedex 9, France.
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(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.

