论文标题
边缘超紧密的超支聚合物树
Marginally compact hyperbranched polymer trees
论文作者
论文摘要
假设高斯链统计沿链轮廓,我们通过适当的分形发电机超支聚合物树生成,略微紧凑。理论上并通过计算机模拟研究了静态和动力学特性,例如径向内部内部对密度分布或剪切压力松弛模量。我们强调的是,尽管自我接触密度与总质量$ n $的对数有分歧,但这种效果与间隔长度的增加$ s $迅速无关。除此之外,还可以看出,标准的Rouse分析必须不适合紧凑的对象,而$ p $的放松时间$τ_p$必须扩展为$τ_p\ sim(n/p)^{5/3} $,而不是线性链的常规平方功率定律。
Assuming Gaussian chain statistics along the chain contour, we generate by means of a proper fractal generator hyperbranched polymer trees which are marginally compact. Static and dynamical properties, such as the radial intrachain pair density distribution or the shear-stress relaxation modulus, are investigated theoretically and by means of computer simulations. We emphasize that albeit the self-contact density diverges logarithmically with the total mass $N$, this effect becomes rapidly irrelevant with increasing spacer length $S$. In addition to this it is seen that the standard Rouse analysis must necessarily become inappropriate for compact objects for which the relaxation time $τ_p$ of mode $p$ must scale as $τ_p \sim (N/p)^{5/3}$ rather than the usual square power law for linear chains.