渗透
分子动力学
化学物理
膜
电导
纳米技术
材料科学
水运
生物系统
伞式取样
半径
纳米尺度
水道
化学
物理
计算机科学
计算化学
水流
工程类
机械工程
凝聚态物理
环境工程
生物
入口
生物化学
计算机安全
作者
Arthur Hardiagon,Samuel Murail,Li‐Bo Huang,Arie van der Lee,Fabio Sterpone,Mihail Bãrboiu,Marc Baaden
摘要
Understanding water transport mechanisms at the nanoscale level remains a challenge for theoretical chemical physics. Major advances in chemical synthesis have allowed us to discover new artificial water channels, rivaling with or even surpassing water conductance and selectivity of natural protein channels. In order to interpret experimental features and understand microscopic determinants for performance improvements, numerical approaches based on all-atom molecular dynamics simulations and enhanced sampling methods have been proposed. In this study, we quantify the influence of microscopic observables, such as channel radius and hydrogen bond connectivity, and of meso-scale features, such as the size of self-assembly blocks, on the permeation rate of a self-assembled nanocrystal-like artificial water channel. Although the absolute permeation rate extrapolated from these simulations is overestimated by one order of magnitude compared to the experimental measurement, the detailed analysis of several observed conductive patterns in large assemblies opens new pathways to scalable membranes with enhanced water conductance for the future design.
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