Do hydrodynamic interactions affect the swim pressure?

Soft Matter ◽  
2018 ◽  
Vol 14 (18) ◽  
pp. 3581-3589 ◽  
Author(s):  
Eric W. Burkholder ◽  
John F. Brady

We generalize the active Brownian particle model to account for hydrodynamic interactions.

Soft Matter ◽  
2017 ◽  
Vol 13 (47) ◽  
pp. 8964-8968 ◽  
Author(s):  
Lee Walsh ◽  
Caleb G. Wagner ◽  
Sarah Schlossberg ◽  
Christopher Olson ◽  
Aparna Baskaran ◽  
...  

The relation between noise, mobility, and long-term motion of individual vibrated granular particles is well described by the active Brownian particle model.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Debarati Sarkar ◽  
Gerhard Gompper ◽  
Jens Elgeti

AbstractThe motion of cells in tissues is an ubiquitous phenomenon. In particular, in monolayered cell colonies in vitro, pronounced collective behavior with swirl-like motion has been observed deep within a cell colony, while at the same time, the colony remains cohesive, with not a single cell escaping at the edge. Thus, the colony displays liquid-like properties inside, in coexistence with a cell-free “vacuum” outside. We propose an active Brownian particle model with attraction, in which the interaction potential has a broad minimum to give particles enough wiggling space to be collectively in the fluid state. We demonstrate that for moderate propulsion, this model can generate the fluid-vacuum coexistence described above. In addition, the combination of the fluid nature of the colony with cohesion leads to preferred orientation of the cell polarity, pointing outward, at the edge, which in turn gives rise to a tensile stress in the colony—as observed experimentally for epithelial sheets. For stronger propulsion, collective detachment of cell clusters is predicted. Further addition of an alignment preference of cell polarity and velocity direction results in enhanced coordinated, swirl-like motion, increased tensile stress and cell-cluster detachment.


2013 ◽  
Vol 392 (19) ◽  
pp. 4210-4215 ◽  
Author(s):  
Wei Guo ◽  
Can-Jun Wang ◽  
Lu-Chun Du ◽  
Dong-Cheng Mei

2020 ◽  
Vol 125 (17) ◽  
Author(s):  
Claudio B. Caporusso ◽  
Pasquale Digregorio ◽  
Demian Levis ◽  
Leticia F. Cugliandolo ◽  
Giuseppe Gonnella

Soft Matter ◽  
2020 ◽  
Vol 16 (20) ◽  
pp. 4776-4787 ◽  
Author(s):  
Amir Shee ◽  
Abhishek Dhar ◽  
Debasish Chaudhuri

A polymer-mapping of active Brownian particle (ABP)-trajectories, and exact calculation of the moments of dynamical variables provide insights into the mechanical crossovers in polymers with length, and related dynamical crossovers in ABP-motion.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Christina Kurzthaler ◽  
Sebastian Leitmann ◽  
Thomas Franosch

Abstract Various challenges are faced when animalcules such as bacteria, protozoa, algae, or sperms move autonomously in aqueous media at low Reynolds number. These active agents are subject to strong stochastic fluctuations, that compete with the directed motion. So far most studies consider the lowest order moments of the displacements only, while more general spatio-temporal information on the stochastic motion is provided in scattering experiments. Here we derive analytically exact expressions for the directly measurable intermediate scattering function for a mesoscopic model of a single, anisotropic active Brownian particle in three dimensions. The mean-square displacement and the non-Gaussian parameter of the stochastic process are obtained as derivatives of the intermediate scattering function. These display different temporal regimes dominated by effective diffusion and directed motion due to the interplay of translational and rotational diffusion which is rationalized within the theory. The most prominent feature of the intermediate scattering function is an oscillatory behavior at intermediate wavenumbers reflecting the persistent swimming motion, whereas at small length scales bare translational and at large length scales an enhanced effective diffusion emerges. We anticipate that our characterization of the motion of active agents will serve as a reference for more realistic models and experimental observations.


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