渗透
石墨烯
膜
材料科学
分子动力学
氧化物
Hagen-Poiseuille方程
毛细管作用
化学物理
离子
图层(电子)
化学工程
纳米技术
复合材料
流量(数学)
化学
机械
计算化学
有机化学
冶金
工程类
物理
生物化学
作者
Haiwei Dai,Zhijun Xu,Xiaoning Yang
标识
DOI:10.1021/acs.jpcc.6b05337
摘要
Layer-by-layer assembled graphene oxide (GO) has been considered as a high-efficiency novel membrane material. However, its performance of water permeation and ion rejection remains largely unresolved. Herein we constructed a model of a GO membrane using laminate nanochannels with aligned flexible multilayered GO sheets, on which functional groups were randomly distributed based on the Lerf–Klinowski model. The water permeation and ion rejection in the flexible GO membranes with various pore widths and surface oxidization degrees were simulated. Our results indicate water flow rate in the GO nanochannels is significantly slowed, which is quantitatively equivalent with the prediction using the no-slip Poiseuille equation. The simulated results suggest the capillary channels within GO stacked laminated membranes might not always work as the major flow route for water to permeate. It is observed that confined water structure becomes more disordered and loose within the corrugated GO nanochannels. The interfacial friction provides huge corrugation of surface energy landscape for moving water and largely suppresses the water flow. The microscopic mechanism of ion rejection has been ascribed to the size exclusion of ion hydration and the surface interaction from functional groups. Overall, our results provide new physical pictures for capillary channels in GO-related stacked membranes.
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