Molecular insights into water flow in double-walled carbon nanotubes with annular confinement

被引:0
|
作者
Xu, Xujun [1 ,2 ]
Li, Shanchen [3 ,4 ]
Lu, Chenchen [1 ,2 ]
Zhang, Yue [1 ,2 ]
Yu, Yue [1 ,2 ]
Zhang, Shuo [1 ,2 ]
Zhao, Junhua [1 ,2 ]
Wei, Ning [1 ,2 ,5 ]
机构
[1] Jiangnan Univ, Inst Adv Technol, Jiangsu Prov Engn Res Ctr Micronano Addit & Subtra, Wuxi 214122, Peoples R China
[2] Jiangnan Univ, Inst Adv Technol, Jiangsu Key Lab Adv Food Mfg Equipment & Technol, Wuxi 214122, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Aerosp Struct, Key Lab Intelligent Nano Mat & Devices, Minist Educ, Nanjing 210016, Peoples R China
[4] Nanjing Univ Aeronaut & Astronaut, Inst Frontier Sci, Nanjing 210016, Peoples R China
[5] Jiangnan Univ, Key Lab Special Protect Text, Minist Educ, Wuxi 214122, Peoples R China
基金
中国国家自然科学基金;
关键词
Carbon nanotubes; Asymmetric structure; Water flow; Solid-liquid friction; PHASE-DIAGRAM; TRANSPORT; GRAPHENE; FRICTION; ICE;
D O I
10.1016/j.colsurfa.2025.136561
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The structure of a channel significantly influences the structure and dynamic behavior of water in confined systems. In this work, we investigate the flow behavior within the interlayer of double-walled carbon nanotubes (DWCNTs) using molecular dynamics (MD) simulations. We also examine the flow velocities under different water structures and specific extreme conditions to understand their impact. Notably, when an identical pressure gradient drives water, the flow velocity within DWCNTs exceeds that between graphene slabs when the channel width is below 0.88 nm. Beyond 0.88 nm, the opposite trend occurs, with water flowing faster between graphene slabs. The difference in friction coefficients between the inner and outer wall of the DWCNT, along with changes in water molecule distribution and water structure as the channel width varies, causes this divergence in flow velocities. Further analysis of diffusion coefficients, depletion lengths, and water configurations provides deeper insights into the underlying differences in flow characteristics. These findings offer valuable guidance for the design and optimization of nanofluidic devices.
引用
收藏
页数:11
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