Modeling chemo-hydrodynamic interactions of phoretic particles: A unified framework
Modeling chemo-hydrodynamic interactions of phoretic particles: A unified framework
复制标题
模拟泳动粒子的化学流体动力学相互作用:统一框架
DOI:
10.1103/physrevfluids.4.124204
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发表时间:
2019
影响因子:
2.7
通讯作者:
S. Michelin
中科院分区:
文献类型:
--
作者:
Akhil Varma;S. Michelin
Phoretic particles exploit local self-generated physico-chemical gradients to achieve self-propulsion at the micron scale. The collective dynamics of a large number of such particles is currently the focus of intense research efforts, both from a physical perspective to understand the precise mechanisms of the interactions and their respective roles, as well as from an experimental point of view to explain the observations of complex dynamics as well as formation of coherent large-scale structures. However, an exact modelling of such multi-particle problems is difficult and most efforts so far rely on the superposition of far-field approximations for each particle's signature, which are only valid asymptotically in the dilute suspension limit. A systematic and unified analytical framework based on the classical Method of Reflections (MoR) is developed here for both Laplace and Stokes' problems to obtain the higher-order interactions and the resulting velocities of multiple phoretic particles, up to any order of accuracy in the radius-to-distance ratio $\varepsilon$ of the particles. Beyond simple pairwise chemical or hydrodynamic interactions, this model allows us to account for the generic chemo-hydrodynamic couplings as well as $N$-particle interactions ($N\geq 3$). The $\varepsilon^5$-accurate interaction velocities are then explicitly obtained and the resulting implementation of this MoR model is discussed and validated quantitatively against exact solutions of a few canonical problems.
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影响因子:
13.6
作者:
Kaiser A;Snezhko A;Aranson IS
通讯作者:
Aranson IS
DOI:
10.1088/0953-8984/28/25/253001
发表时间:
2016-01
期刊:
Journal of Physics: Condensed Matter
影响因子:
--
作者:
A. Zöttl;H. Stark
通讯作者:
A. Zöttl;H. Stark
影响因子:
44.1
作者:
Marchetti, M. C.;Joanny, J. F.;Simha, R. Aditi
通讯作者:
Simha, R. Aditi
影响因子:
8.6
作者:
Krueger, Carsten;Kloes, Gunnar;Maass, Corinna C.
通讯作者:
Maass, Corinna C.
影响因子:
44.1
作者:
Bechinger, Clemens;Di Leonardo, Roberto;Volpe, Giovanni
通讯作者:
Volpe, Giovanni