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arxiv: 1810.07109 · v1 · pith:WJWYFAO2new · submitted 2018-10-16 · ❄️ cond-mat.soft · cond-mat.mes-hall

Diffusion-limited cluster aggregation: Impact of rotational diffusion

classification ❄️ cond-mat.soft cond-mat.mes-hall
keywords clustersdiffusiondimensiondlcafractalmodelrotationalaggregates
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Diffusion-limited cluster aggregation (DLCA) is a well established model for the formation of highly porous low-density non-equilibrium structures. One of the main conclusions of the previous studies considering this model is that the rotational diffusion of aggregating clusters does not change their structure characterized by a universal fractal dimension of $d_f=1.7-1.8$. In contradiction to this assumption, we demonstrate that the rotation movement of clusters significantly changes the structure of forming aggregates. The fractal dimension of rotating clusters is lower than the one found in the standard DLCA model and decreases with the increasing ratio of rotational and translational diffusion constants $D_r/D_t$, which offers a possibility to tune the structures of the aggregates below the conventional DLCA fractal dimension limit.

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