材料科学
胶体
中间性中心性
统计物理学
各向异性
体积分数
中心性
生物系统
纳米技术
数学
物理
复合材料
化学工程
工程类
光学
统计
生物
作者
Deepak Mangal,Mohammad Nabizadeh,Safa Jamali
出处
期刊:Physical review
[American Physical Society]
日期:2024-01-05
卷期号:109 (1)
标识
DOI:10.1103/physreve.109.014602
摘要
One of the defining characteristics of soft glassy materials is their ability to exhibit a yield stress, which can result in an overall elasto-visco-plastic mechanics. To design soft materials with specific properties, it is essential to gain a comprehensive understanding of the topological and structural failure points that occur during yielding. However, predicting these failure points, which lead to yielding, is challenging due to the dynamic nature of structure development and its cooccurrence with other complicated processes, such as local rearrangements and anisotropy. In this study, we employ a series of tools from network science to investigate colloidal gels as a model for soft glassy materials during yielding. Our findings reveal that edge betweenness centrality can be utilized as a universal predictor for yielding across various state variables, including the volume fraction of solids, the strength, and the range of attraction between colloids.
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