An effective and efficient model of the near-field hydrodynamic interactions for active suspensions of bacteria.
An effective and efficient model of the near-field hydrodynamic interactions for active suspensions of bacteria.
复制标题
细菌活性悬浮液近场流体动力相互作用的有效模型
DOI:
10.1073/pnas.2100145118
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发表时间:
2021-07-13
影响因子:
11.1
通讯作者:
Xu X
中科院分区:
文献类型:
--
作者:
Zhang B;Leishangthem P;Ding Y;Xu X
Active suspensions of microswimmers demonstrate novel emergent behaviors (self-organizations, active turbulence, etc.) on macroscopic length scales. For such systems with, minimally, thousands of microswimmers, direct numerical simulations of the hydrodynamic interactions are computationally infeasible, and reduced models are needed. We demonstrated that existing models are not satisfactory in describing the hydrodynamic interactions for microswimmers in close proximity with even qualitatively erroneous predictions, indicating a pressing need for an adequate model. We propose a model that is both physically effective and computationally efficient in describing such hydrodynamics. The main novelty of our model is the description of hydrodynamic interactions through a resistance tensor, as opposed to an effective steric interaction in existing models. Near-field hydrodynamic interactions in active fluids are essential to determine many important emergent behaviors observed, but have not been successfully modeled so far. In this work, we propose an effective model capturing the essence of the near-field hydrodynamic interactions through a tensorial coefficient of resistance, validated numerically by a pedagogic model system consisting of an Escherichia coli bacterium and a passive sphere. In a critical test case that studies the scattering angle of the bacterium–sphere pair dynamics, we prove that the near-field hydrodynamics can make a qualitative difference even for this simple two-body system: Calculations based on the proposed model reveal a region in parameter space where the bacterium is trapped by the passive sphere, a phenomenon that is regularly observed in experiments but cannot be explained by any existing model. In the end, we demonstrate that our model also leads to efficient simulation of active fluids with tens of thousands of bacteria, sufficiently large for investigations of many emergent behaviors.
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DOI:
10.1073/pnas.1718294115
发表时间:
2018-03-27
影响因子:
11.1
作者:
Ohmura T;Nishigami Y;Taniguchi A;Nonaka S;Manabe J;Ishikawa T;Ichikawa M
通讯作者:
Ichikawa M
影响因子:
8.6
作者:
Li Y;Zhai H;Sanchez S;Kearns DB;Wu Y
通讯作者:
Wu Y
影响因子:
3.7
作者:
Ishimoto, Kenta;Gaffney, Eamonn A.
通讯作者:
Gaffney, Eamonn A.
影响因子:
3.4
作者:
Molina, John J.;Nakayama, Yasuya;Yamamoto, Ryoichi
通讯作者:
Yamamoto, Ryoichi
影响因子:
3.7
作者:
Ishikawa, Takuji;Simmonds, M. P.;Pedley, T. J.
通讯作者:
Pedley, T. J.