论文标题
在有吸引力的粒子网络中连接粒子聚类和流变学
Connecting particle clustering and rheology in attractive particle networks
论文作者
论文摘要
悬浮液和其他多相系统的结构特性对于消费者的总体处理性，功能和接受至关重要。因此，了解材料的微观结构与所得的流变特性之间的内在联系至关重要。在这里，我们证明了如何量化微结构构象中的过渡并与流变学测量相关。我们发现来自Graph理论（网络的数学研究）的半本地参数可用于联系结构和流变学。我们使用毛细管悬浮液作为模型系统的结果表明，聚类系数与配位数结合使用，不仅能够捕获颗粒的团聚，还可以衡量组的形成。这些现象与流变特性密切相关。目前的稀疏网络无法通过建立的技术（例如中心性）来描述。
The structural properties of suspensions and other multiphase systems are vital to overall processability, functionality and acceptance among consumers. Therefore, it is crucial to understand the intrinsic connection between the microstructure of a material and the resulting rheological properties. Here, we demonstrate how the transitions in the microstructural conformations can be quantified and correlated to rheological measurements. We find semi-local parameters from graph theory, the mathematical study of networks, to be useful in linking structure and rheology. Our results, using capillary suspensions as a model system, show that the use of the clustering coefficient, in combination with the coordination number, is able to capture not only the agglomeration of particles, but also measures the formation of groups. These phenomena are tightly connected to the rheological properties. The present sparse networks cannot be described by established techniques such as betweenness centrality.
