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Rapid calculation of maximum particle lifetime for diffusion in complex geometries

机译:复杂几何形状中最大粒子寿命的快速计算

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摘要

Diffusion of molecules within biological cells and tissues is strongly influenced by crowding. A key quantity to characterize diffusion is the particle lifetime, which is the time taken for a diffusing particle to exit by hitting an absorbing boundary. Calculating the particle lifetime provides valuable information, for example, by allowing us to compare the timescale of diffusion and the timescale of the reaction, thereby helping us to develop appropriate mathematical models. Previous methods to quantify particle lifetimes focus on the mean particle lifetime. Here, we take a different approach and present a simple method for calculating the maximum particle lifetime. This is the time after which only a small specified proportion of particles in an ensemble remain in the system. Our approach produces accurate estimates of the maximum particle lifetime, whereas the mean particle lifetime always underestimates this value compared with data from stochastic simulations. Furthermore, we find that differences between the mean and maximum particle lifetimes become increasingly important when considering diffusion hindered by obstacles. Published by AIP Publishing.
机译:生物细胞和组织内分子的扩散受到拥挤的强烈影响。表征扩散的关键量是颗粒寿命,这是通过击中吸收边界来延伸颗粒出口所花费的时间。计算粒子寿命可以提供有价值的信息,例如,通过允许我们比较扩散的时间尺度和反应的时间质量,从而帮助我们开发适当的数学模型。以前的方法来量化粒子寿命聚焦在平均粒子寿命上。在这里,我们采用不同的方法,并提出了一种计算最大粒子寿命的简单方法。这是在系统中仅在整体中留在系统中的小规定比例的时间。我们的方法产生了最大粒子寿命的准确估计,而平均粒子寿命总是低于来自随机模拟的数据相比的该值。此外,我们发现,当考虑障碍物阻碍的扩散时,平均和最大粒子之间的差异变得越来越重要。通过AIP发布发布。

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