在活体阴性-被动同otropic 流体混合物中的边界进行主动分类
Saraswat Bhattacharyya1, Julia M Yeomans1
1Rudolf Peierls Centre for Theoretical Physics, Parks Road, University of Oxford, OX1 3PU, UK. julia.yeomans@physics.ox.ac.uk.
Soft matter
|September 17, 2025
概括
活性流体根据其特性和表面定方式对边界进行分类. 伸展性活性流体在平面定时积聚,而收缩性流体则在同源定时积聚.
科学领域:
- 软物质物理学 软物质物理学
- 活动物质物理学 活动物质物理学
- 流体动力学 流体动力学
背景情况:
- 活性阴性流体表现出自我推进和定向秩序.
- 封闭的流体混合物可以在接口上显示出现的行为.
- 边界条件显著影响流体相行为.
研究的目的:
- 为了研究与被动同otropic流体混合的活性 nematic 流体的边界积累.
- 了解流体活动 (伸展与收缩) 和边界在空间分布上的作用.
- 探索驱动在接口上的活性流体分类的机制.
主要方法:
- 使用一个双流体理论模型.
- 模拟活动性阴性和被动性同otropic流体在限制中的行为.
- 分析平面和同源边界固条件的影响.
主要成果:
- 伸展性活性液体在平面边界积聚,但在同源边界的度下降.
- 与伸展性液体相比,收缩性活性液体的积累行为是相反的.
- 主动流体分类是由内马特式顺序梯度驱动的,受强加或自发定的影响.
结论:
- 活性流体在边界的分类是可以预测的,并取决于活动类型和定.
- 阴性顺序梯度是理解活性流体分离的关键.
- 这些发现与微管素系统和生物现象 (如细胞殖民地分类) 的实验有关.
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