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Fractional Brownian modeled linear polymer chains with one dimensional Metropolis Monte Carlo simulation

机译:分数布朗建模的线性聚合物链,具有一维大都会蒙特卡罗模拟

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Published 2 January 2015 The scaling expression for fractional Brownian modeled linear polymer chains was obtained both theoretically and numerically. Through the probability distribution of fractional Brownian paths, the scaling was found out to be (R~2) ~ N~(2H) , where R is the end-to-end distance of the polymer chain, N is the number of monomer units and H is the Hurst parameter. Numerical data was generated through the use of Monte Carlo simulation implementing the Metropolis algorithm. Results show good agreement between numerical and theoretical scaling constants after some parameter optimization. The probability distribution confirmed the Gaussian nature of fractional Brownian motion and the behavior is not affected by varying values of the Hurst parameter and of the number of monomer units.
机译:2015年1月2日发布的分数褐色建模的线性聚合物链的缩放表达在理论上和数值上获得。通过分数褐色路径的概率分布,发现缩放为(R〜2)〜n〜(2h),其中R是聚合物链的端到端距离,n是单体单元的数量H是赫斯特参数。通过使用Monte Carlo仿真实现Metropolis算法来生成数值数据。结果在某些参数优化后数值和理论缩放常数之间显示出良好的一致性。概率分布证实了分数褐色运动的高斯性质,并且行为不受赫斯特参数的不同价值和单体单元的数量的影响。

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