论文标题
活性nematics中的缺陷：用于识别和跟踪的算法
Defects in active nematics: algorithms for identification and tracking
论文作者
论文摘要
对主动词汇的兴趣日益增长，以及生物学中拓扑缺陷相关性的新兴证据要求可靠的数据分析工具来识别，分类和跟踪模拟和显微镜数据中的此类缺陷。我们在这里提供了这样的工具，并在两个示例上提供了在活跃的数字动力学模型中的主动湍流状态以及多相现场模型中新兴的nematic Order上的演示，这种可能性将缺陷速度的统计数据与实验结果进行比较。相互比较所考虑的工具，这些工具是基于物理和数据驱动的。
The growing interest in active nematics and the emerging evidence of the relevance of topological defects in biology asks for reliable data analysis tools to identify, classify and track such defects in simulation and microscopy data. We here provide such tools and demonstrate on two examples, on an active turbulent state in an active nematodynamic model and on emerging nematic order in a multi-phase field model, the possibility to compare statistical data on defect velocities with experimental results. The considered tools, which are physics based and data driven, are compared with each other.
