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arXiv 2311.03022cond-mat.soft
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Janus微游泳者是差的水动力混合器

Janus microswimmers are poor hydrodynamic mixers

ETH Zürich(苏黎世联邦理工学院);Forschungszentrum Jülich(于利希研究中心)

Maximilian Bailey, Dmitry Fedosov, Federico Paratore, Fabio Grillo, Gerhard Gompper, Lucio Isa

AI总结:

通过实验和数值模拟研究光催化二氧化硅-二氧化钛Janus微球在集体行为阈值以下的密度下对示踪粒子扩散性的增强,发现近场相互作用主导增强,且单独的水动力学不足以引起大扩散系数被动组分的显著混合。

摘要:

自泳微游泳者产生的流体流动已被提出作为一种在微米和纳米尺度上增强质量传输和混合的机制。在这里,我们实验研究了模型二维“活性浴”中光催化二氧化硅-二氧化钛Janus微球在集体行为阈值以下不同微游泳者密度下增强示踪粒子扩散性的能力。受我们的实验发现与先前生物微生物结果之间相似性的启发,我们随后使用一般的squirmer框架对Janus微游泳者进行建模,特别将其视为中性squirmer。数值模拟忠实捕捉了我们的观察结果,提供了对示踪粒子传输微观机制的洞察,并允许我们将参数空间扩展到实验系统之外。我们找到强有力的证据表明,近场相互作用主导了活性Janus浴中示踪粒子扩散性的增强,从而基于尺度论证确定了化学微游泳者增强示踪粒子传输的操作窗口。基于这一论证,我们建议对于许多化学活性胶体系统,仅水动力学可能不足以引起具有大扩散系数的被动组分的显著混合。

英文摘要:

The generation of fluid flows by autophoretic microswimmers has been proposed as a mechanism to enhance mass transport and mixing at the micro- and nanoscale. Here, we experimentally investigate the ability of model 2-D "active baths" of photocatalytic silica-titania Janus microspheres to enhance the diffusivity of tracer particles at different microswimmer densities below the onset of collective behaviour. Inspired by the similarities between our experimental findings and previous results for biological microorganisms, we then model our Janus microswimmers using a general squirmer framework, specifically treating them as neutral squirmers. The numerical simulations faithfully capture our observations, offer an insight into the microscopic mechanism underpinning tracer transport, and allow us to expand the parameter space beyond our experimental system. We find strong evidence that near-field interactions dominate enhancements in tracer diffusivity in active Janus baths, leading to the identification of an operating window for enhanced tracer transport by chemical microswimmers based on scaling arguments. Based on this argumentation, we suggest that for many chemically active colloidal systems, hydrodynamics alone is likely to be insufficient to induce appreciable mixing of passive components with large diffusion coefficients.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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