关于 CH4、CO2、SO2 和 H2O 混合物在双层石墨烯中的扩散和局部结构的模拟研究。

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Minghui Hu, Wei Gao, Lisha Zhang, Yize Wang, Yaping Tao, Wenda Qiu, Huajie Feng
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引用次数: 0

摘要

石墨烯作为一种理想的吸附和分离材料已被广泛研究。在这项工作中,我们利用分子动力学模拟研究了 CH4、CO2、SO2 和 H2O 混合物在七种不同的层间间隔和四种不同的 CO2 浓度下向双层石墨烯的扩散和局部结构的演变。结果表明,石墨烯表面对 CH4 和 CO2 分子的吸附随着层间距的增加而减弱。层间距增大后,混合体系中 CH4 和 CO2 的扩散能力显著提高。在 5 到 10 nm 的层间距范围内,各组分的扩散能力按照 CH4 > CO2 ≫ H2O > SO2 的顺序显著变化。与 CH4 和 CO2 相比,SO2 和 H2O 的局部结构受层间距的影响更大。较大的层间间隔或较高的 CO2 浓度有利于 H2O 分子之间形成较强的氢键结构。当 CO2 浓度在 10% 到 20% 之间,石墨烯的层间距为 8 nm 时,石墨烯结构对 CH4 和其他成分的吸附和分离效果最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Study on Diffusion and Local Structure of CH4, CO2, SO2, and H2O Mixtures into Double-Layers Graphene.

Graphene has been widely studied as an ideal material for the adsorption and separation. In this work, we used molecular dynamics simulations to investigate the evolution of diffusion and local structure of CH4, CO2, SO2, and H2O mixtures into double-layers graphene under seven different interlayer spacings and four different CO2 concentrations. The results showed that the adsorption of CH4 and CO2 molecules on the graphene surface weakened with increased interlayer spacing. The diffusion capacities of CH4 and CO2 in the mixed system were significantly improved by increasing the interlayer spacing. In interlayer spacings ranging from 5 to 10 nm, the diffusion capacities of each component varied significantly in the order CH4 > CO2 ≫ H2O > SO2. Compared with CH4 and CO2, the local structures of SO2 and H2O were more affected by the interlayer spacing. Larger interlayer spacings or higher CO2 concentrations were advantageous for the formation of stronger hydrogen bond structures between H2O molecules. When the CO2 concentrations were between 10% and 20% and the interlayer spacing of graphene was 8 nm, the graphene structure exhibited the best adsorption and separation effects on CH4 and other components.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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