Dobroserdova Alla B, Kantorovich Sofia S
Ural Mathematical Centre, Ural Federal University, Named after the First President of Russia B. N. Yeltsin, Ekaterinburg 620002, Russia.
University of Vienna, Faculty of Physics, Kolingasse 14-16, 1090, Vienna, Austria, and Ural Federal University Named after the First President of Russia B. N. Yeltsin, Ekaterinburg 620002, Russia; and Research Platform MMM, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria.
Phys Rev E. 2021 Jan;103(1-1):012612. doi: 10.1103/PhysRevE.103.012612.
In the present paper, we study the self-diffusion of aggregating magnetic particles in bidisperse ferrofluids. We employ density functional theory (DFT) and coarse-grained molecular dynamics (MD) simulations to investigate the impact of granulometric composition of the system on the cluster self-diffusion. We find that the presence of small particles leads to the overall increase of the self-diffusion rate of clusters due the change in cluster size and composition.
在本文中，我们研究了双分散铁磁流体中聚集磁性颗粒的自扩散。我们采用密度泛函理论（DFT）和粗粒化分子动力学（MD）模拟来研究系统粒度组成对团簇自扩散的影响。我们发现，由于团簇尺寸和组成的变化，小颗粒的存在导致团簇自扩散速率总体增加。
