The dynamic behavior of ethanol and water mixtures inside an Aunanotube molecule filter

文献信息

发布日期 2010-11-22
DOI 10.1039/C0CP00090F
影响因子 3.676
作者

Yao-Chun Wang, Shin-Pon Ju


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摘要

Molecular dynamics (MD) simulation was used to investigate the behavior of water and ethanol molecules, which were mixed with five water–ethanol weight fractions (100 : 0, 0 : 100, 25 : 75, 50 : 50, and 75 : 25) inside the Au nanotube. To investigate the nano-confinement effect on water and ethanol molecules, the data of both molecules were analyzed by the probability of the number H-bonds per water and ethanol molecule and radial density distribution. Our results reveal that the radial density distributions and the number of H-bonds are significantly influenced by the Au nanotube, and the molecules also display different behavior from those in the bulk environment. In addition, the interaction between water molecules and the Au nanotube is stronger than that between ethanol molecules and the Au nanotube, from the profile of radial density distribution. Finally, both the number of H-bonds per water and per ethanol will be affected by the weight fraction, because the H-bond not only forms between the same material, but also between different materials.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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