渗透(认知心理学)
聚合物
星团(航天器)
体积分数
指数
分形维数
材料科学
共聚物
化学物理
分形
渗流阈值
分子动力学
渗流理论
统计物理学
高分子化学
高分子科学
化学
物理
计算化学
物理化学
数学
复合材料
计算机科学
生物
电阻率和电导率
神经科学
哲学
数学分析
量子力学
程序设计语言
语言学
电导率
作者
D. M. Kroll,Stuart Croll
出处
期刊:Polymer
[Elsevier]
日期:2017-04-01
卷期号:115: 154-163
被引量:13
标识
DOI:10.1016/j.polymer.2017.03.051
摘要
Coarse-grained molecular dynamics simulations of the formation of 3- and 6-functional polymer networks explicitly shows gelation via large dendritic clusters. The heterogeneous network structures are studied in detail; clusters have pendant structures and occupy significant volume fraction. Cluster fractal dimension and the Fisher exponent for cluster size are consistent with percolation theory and kinetic gelation models. Several criteria for determining gelation yield consistent results somewhat higher than the estimate for ideal networks on regular lattices. Almost all crosslink loop formation occurs after gelation just as traditional statistical theories assume. The presence and size of these clusters provide a natural explanation for density variations seen in microscopy studies of crosslinked polymers. The second paper in this series describes how the network structure develops after gelation. Large pendant structures, and more localized defects, persist and comprise a substantial fraction of material that is not contributing to network strength.
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