Journal
SOFT MATTER
Volume 18, Issue 14, Pages 2757-2766Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d1sm01752g
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Funding
- National Science Foundation [1803662]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1803662] Funding Source: National Science Foundation
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Passive Brownian particles distribute evenly between porous medium and fluid reservoir, while active particles tend to accumulate near boundaries and preferentially partition into the porous medium. The study explores the behavior of active swimmers partitioning into a porous medium from a bulk fluid reservoir, showing oscillatory behavior at short times and steady state concentration partitioning at longer times.
Passive Brownian particles partition homogeneously between a porous medium and an adjacent fluid reservoir. In contrast, active particles accumulate near boundaries and can therefore preferentially partition into the porous medium. Understanding how active particles interact with and partition into such an environment is important for optimizing particle transport. In this work, both the initial transient and steady behavior as active swimmers partition into a porous medium from a bulk fluid reservoir are investigated. At short times, the particle number density in the porous medium exhibits an oscillatory behavior due to the particles' ballistic motion when time t < tau(R), where tau(R) is the reorientation time of the active particles. At longer times, t > L-2/D-swim, the particles diffuse from the reservoir into the porous medium, leading to a steady state concentration partitioning. Here, L is the characteristic length scale of the porous medium and D-swim = U-0(l)/d(d - 1), where U-0 is the intrinsic swim speed of the particles, l = U-0 tau(R) is the particles' run, or persistence, length, and d is the dimension of the reorientation process. An analytical prediction is developed for this partitioning for spherical obstacles connected to a fluid reservoir in both two and three dimensions based on the Smoluchowski equation and a macroscopic mechanical momentum balance. The analytical prediction agrees well with Brownian dynamics simulations.
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