The Cluster-Cluster Aggregation model (CCA) was often used to simulate the aggregation of colloids, in which the rapid and slow aggregation processes of colloids can be well characterized. In practical system, the movement of particles or clusters occurs in parallel. In the CCA model, in order to facilitate computer simulation, the movement of particles or clusters is processed serially by the method of Metropolis sampling. That is, randomly selecting one particle or cluster to move randomly, colliding with other cluster in the movement, and aggregating according to certain conditions, such aggregation would usually occur between a moving cluster and a static cluster, and this process is essentially a dimerization process. Based on this idea, this study proposes a cluster dichotomy model, in which the dispersion process can be regarded as the inverse process of cluster aggregation, that is, the randomly selected cluster always breaks up into two small clusters. This kind of dispersion is called dichotomy. Based on this model, the rapid and slow dispersion processes of colloidal clusters can be simulated by setting the relevant parameters. The dichotomy model proposed in this paper can be used to study colloidal stability by coupling with the traditional CCA model.

群集-群集聚集模型（CCA）通常用于模拟胶体的聚集，在其中可以很好地表征胶体的快速和缓慢聚集过程。在实际系统中，粒子或团簇的运动是并行发生的。在CCA模型中，为了便于计算机模拟，通过Metropolis采样的方法对粒子或团簇的运动进行了连续处理。也就是说，随机选择一个粒子或簇以随机运动，与运动中的其他簇碰撞，并根据特定条件进行聚集，这样的聚集通常会在移动簇和静态簇之间发生，并且此过程本质上是二聚化过程。基于此思想，本研究提出了一个集群二分法模型，其中分散过程可以看作是集群聚集的逆过程，也就是说，随机选择的集群总是分解成两个小集群。这种分散称为二分法。基于该模型，可以通过设置相关参数来模拟胶体团簇的快速和缓慢分散过程。本文提出的二分法模型可以与传统的CCA模型结合使用来研究胶体稳定性。