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Interpreting the Weibull fitting parameters for diffusion-controlled release data

机译:解释扩散控制释放数据的Weibull拟合参数

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We examine the diffusion-controlled release of molecules from passive delivery systems using both analytical solutions of the diffusion equation and numerically exact Lattice Monte Carlo data. For very short times, the release process follows a root t. power law, typical of diffusion processes, while the long-time asymptotic behavior is exponential. The crossover time between these two regimes is determined by the boundary conditions and initial loading of the system. We show that while the widely used Weibull function provides a reasonable fit (in terms of statistical error), it has two major drawbacks: (i) it does not capture the correct limits and (ii) there is no direct connection between the fitting parameters and the properties of the system. Using a physically motivated interpolating fitting function that correctly includes both time regimes, we are able to predict the values of the Weibull parameters which allows us to propose a physical interpretation. (C) 2017 Elsevier B.V. All rights reserved.
机译:我们使用扩散方程的分析解和数值精确的格子蒙特卡罗数据来检查来自被动递送系统的分子的分子扩散控制释放。在很短的时间内,释放过程遵循根t。电力法,典型的扩散过程,而长期渐近行为是指数级的。这两个制度之间的交叉时间由系统的边界条件和初始加载决定。我们认为,虽然广泛使用的威布尔功能提供了合理的拟合(在统计错误方面),但它有两个主要缺点:(i)它不会捕获正确的限制和(ii)拟合参数之间没有直接连接以及系统的属性。使用实际激励的内插拟合功能,可以正确地包括时间制度,我们能够预测允许我们提出物理解释的Weibull参数的值。 (c)2017年Elsevier B.V.保留所有权利。

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