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Active Brownian particles simulated in molecular dynamics

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摘要 In the numerical studies of active particles, models consisting of a solid body and a fluid body have been well established and widely used. In this work, such an active Brownian particle (ABP) is realized in molecular dynamics (MD) simulations. Immersed in a fluid, each ABP consists of a head particle and a spherical phantom region of fluid where the flagellum of a microswimmer takes effect. Quantitative control over the orientational persistence time is achieved via an external stochastic dynamics. This control makes it possible to validate ABP's diffusion property in a wide range of particle activity. In molecular description, the axial velocity of ABP exhibits a Gaussian distribution. Its mean value defines the active velocity which increases with the active force linearly, but shows no dependence on the rotational diffusion coefficient. For the active diffusion coefficient measured in free space, it shows semi-quantitative agreement with the analytical result predicted by a minimal ABP model. Furthermore, the active diffusion coefficient is also calculated by performing a quantitative analysis on the ABP's distribution along x axis in a confinement potential. Comparing the active diffusion coefficients in the above two cases (in free space and in confinement), the validity of the ABP modeling implemented in MD simulations is confirmed. Possible reasons for the small deviation between the two diffusion coefficients are also discussed.
作者 Liya Wang Xinpeng Xu Zhigang Li Tiezheng Qian 王丽雅;徐新鹏;李志刚;钱铁铮(Faulty of Civil Engineering and Mechanics,Jiangsu University,Zhenjiang 212013,China;Faculty of Physics,Guangdong-Technion-Israel Institute of Technology,Shantou 515063,China;Department of Mechanical and Aerospace Engineering,Hong Kong University of Science and Technology,Hong Kong,China;Department of Mathematics,Hong Kong University of Science and Technology,Hong Kong,China)
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第9期222-232,共11页 中国物理B(英文版)
基金 Project supported by Hong Kong RGC CRF,China(Grant No.C1018-17G) GRF,China(Grant No.16228216) Jiangsu University Foundation(Grant No.20JDG20).
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