预测结构界面上链状分子能量和取向性质的经典密度泛函理论。

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
Chaolong Zhang,  and , Yu Liu*, 
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引用次数: 0

摘要

链状分子的取向在许多领域都是一个重要的问题,但理论上的认识仍然有限。在这项工作中,我们引入经典密度泛函理论(CDFT)来研究结构界面上链状分子的取向和能量性质。该界面由体心立方(BCC)晶体的面表示,该理论由三维算法实现。势平均力(PMF)、密度分布和取向序参数的预测结果与分子模拟结果一致。取向分布函数显示为双峰取向分布和受表面分离支配的垂直水平过渡。界面结构对PMF、密度分布和取向有显著影响。(111)面产生排斥PMF和平坦密度剖面,这与(100)和(110)面相反。我们还研究了分子相互作用,表面吸引力,链长和堆积分数的作用,这可能为纳米颗粒和多孔吸附剂的设计提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Classical Density Functional Theory for Predicting Energy and Orientation Properties of Chain-Like Molecules on Structured Interfaces

A Classical Density Functional Theory for Predicting Energy and Orientation Properties of Chain-Like Molecules on Structured Interfaces

The orientation of chain-like molecules is an important issue in many fields, but the theoretical understanding remains limited. In this work, we introduce a classical density functional theory (CDFT) to investigate the orientation and energy properties of chain-like molecules on structured interfaces. The interface is represented by a face of a body-centered cubic (BCC) crystal, and the theory is implemented by a 3-dimensional algorithm. The predictions for potential mean force (PMF), density profile and orientation order parameter are consistent with molecular simulations. The orientation distribution function suggests a bimodal orientation distribution and a vertical–horizontal transition governed by surface separation. The interfacial structure exerts a significant influence on PMF, density profile and orientation. The (111) face generates a repulsive PMF and a flat density profile, which is in contrast to the (100) and (110) faces. We also examine the roles of molecular interaction, surface attraction, chain length and packing fractions, which may provide an insight into the design of nanoparticles and porous adsorbents.

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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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