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arXiv 2006.00360cond-mat.softcond-mat.stat-mech
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拥挤环境中的通用粒子动力学分布

Universal Particle Kinetic Distribution in Crowded Environments

Dian Fan, Ronny Pini, Alberto Striolo

AI总结:

本文提出用修正的Nakagami-$m$函数描述拥挤异质环境中粒子沉积时的速度概率分布,并通过Lagrangian模拟和文献实验数据验证其普适性。

摘要:

我们研究了在不同粒子Péclet数($Pe^*$)下,异质、拥挤环境中的多粒子输运。我们证明,当粒子发生沉积时,修正的Nakagami-$m$函数可以描述粒子速度概率分布。通过与针对多种粒子类型的全新Lagrangian模拟以及文献中的实验数据进行比较,我们评估了该函数的普适性。我们将该函数的物理意义解释为:它能够依据$Pe^*$以及粒子释放的能垒分布与粒子扩散能量之间的竞争,解释粒子沉积。

英文摘要:

We study many-particle transport in heterogeneous, crowded environments at different particle Péclet numbers ($Pe^*$). We demonstrate that a modified Nakagami-$m$ function describes particle velocity probability distributions when particle deposition occurs. We assess the universality of said function through comparison against new Lagrangian simulations of various particle types as well as experimental data from the literature. We construe the function's physical meaning as its ability to explain particle deposition in terms of $Pe^*$ and the competition between distributions of energy barriers for particle release and particles' diffusive energy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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