论文标题
细菌活性列明学的数据驱动定量建模
Data-driven quantitative modeling of bacterial active nematics
论文作者
论文摘要
主动物质包括将能量转换为机械运动的单个单元。在许多示例中,例如细菌系统和生物丝测定法,组成单元被延长,并可能导致局部列非列的定向秩序。这样的“主动词汇”系统吸引了理论家和实验者的广泛关注。但是,尽管进行了激烈的研究工作,但尚未实现数据驱动的定量建模,这主要是由于缺乏系统的实验数据以及当前模型的大量参数。在这里,我们介绍了一种由蜂群细菌制成的新的活跃命名系统。我们同时测量方向和速度场,并表明我们系统的复杂时空动力学可以通过一种新型的微观模型来定量地重现用于主动悬浮液的新型显微镜模型,其重要参数都是从全面的实验数据中估算的。这提供了前所未有的访问活动的关键有效参数和管理主动命名的机制。我们的方法适用于不同类型的密集悬浮液,并显示出通往更定量的主动物质研究的途径。
Active matter comprises individual units that convert energy into mechanical motion. In many examples, such as bacterial systems and biofilament assays, constituent units are elongated and can give rise to local nematic orientational order. Such `active nematics' systems have attracted much attention from both theorists and experimentalists. However, despite intense research efforts, data-driven quantitative modeling has not been achieved, a situation mainly due to the lack of systematic experimental data and to the large number of parameters of current models. Here we introduce a new active nematics system made of swarming filamentous bacteria. We simultaneously measure orientation and velocity fields and show that the complex spatiotemporal dynamics of our system can be quantitatively reproduced by a new type of microscopic model for active suspensions whose important parameters are all estimated from comprehensive experimental data. This provides unprecedented access to key effective parameters and mechanisms governing active nematics. Our approach is applicable to different types of dense suspensions and shows a path towards more quantitative active matter research.