Dissipative particle dynamics simulations identify structural properties and molecular clustering of alcohol-water mixtures

IF 2.8 3区 工程技术 Q3 CHEMISTRY, PHYSICAL Fluid Phase Equilibria Pub Date : 2024-11-26 DOI:10.1016/j.fluid.2024.114296
Hakan Camoglu , Gokhan Kacar
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Abstract

Modeling liquid structures of water and alcohol mixtures via coarse-grained simulations has been a challenge due to the loss of atomistic detail that are required to model the prevailing intermolecular interactions. Moreover, simulating the intrinsic structural ordering and inhomogeneities at mesoscopic-level has also been difficult due to the absence of these interactions. On the other hand, simulating these mixtures at a coarse-grained level is important since these liquids act as solvent in so many different applications. Therefore, in this work we strive to perform coarse-grained dissipative particle dynamics simulations (DPD) to model and simulate alcohol and water liquid mixtures. By using a recently developed DPD parameterization, we characterize their molecular-level structural inhomogeneity by quantifying the molecular clustering. In addition, the results regarding the structure by means of radial distribution functions, three-body angular distributions, and clustering behavior regarding maximum cluster size as a function of distance, cluster distance distribution function clearly show different levels of structural ordering for different mixtures. Moreover, we find that there is a significant difference between alcohol and water clustering behavior. For example, the distance at which clustering occurs in water molecules increases as the concentration of water decreases relative to alcohol. In addition, our results indicate that water and alcohol molecules at different concentrations display inhomogeneity, which agrees well with the literature and all-atom molecular dynamics simulations that are performed within the scope of this work. Hence, the prediction of the structural anomalies in alcohol-water mixtures shows that the employed DPD approach is able to capture the essential molecular structure of water and alcohols. The computational approach can be extended to study other hydrogen bonding soft matter to mimic their experimental structure in complex environments such as biological or synthetic solutions.
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耗散粒子动力学模拟确定了醇-水混合物的结构特性和分子聚类
通过粗粒度模拟水和酒精混合物的液体结构一直是一个挑战,因为失去了模拟普遍的分子间相互作用所需的原子细节。此外,由于缺乏这些相互作用,在细观水平上模拟内在结构的有序和非均匀性也很困难。另一方面,在粗粒度水平上模拟这些混合物是很重要的,因为这些液体在许多不同的应用中充当溶剂。因此,在这项工作中,我们努力进行粗粒度耗散粒子动力学模拟(DPD)来模拟和模拟酒精和水的液体混合物。利用新近发展的DPD参数化方法,我们通过量化分子聚类来表征它们的分子水平结构不均匀性。此外,通过径向分布函数、三体角分布函数和最大簇大小作为距离和簇距离分布函数的聚类行为的分析结果清楚地表明,不同混合物的结构有序程度不同。此外,我们发现酒精和水的聚类行为存在显著差异。例如,当水相对于酒精的浓度降低时,水分子中发生聚集的距离就会增加。此外,我们的结果表明,不同浓度的水和酒精分子表现出不均匀性,这与文献和在本工作范围内进行的全原子分子动力学模拟非常一致。因此,对醇-水混合物结构异常的预测表明,所采用的DPD方法能够捕获水和醇的基本分子结构。该计算方法可以推广到其他氢键软物质的研究,以模拟它们在生物或合成溶液等复杂环境中的实验结构。
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来源期刊
Fluid Phase Equilibria
Fluid Phase Equilibria 工程技术-工程:化工
CiteScore
5.30
自引率
15.40%
发文量
223
审稿时长
53 days
期刊介绍: Fluid Phase Equilibria publishes high-quality papers dealing with experimental, theoretical, and applied research related to equilibrium and transport properties of fluids, solids, and interfaces. Subjects of interest include physical/phase and chemical equilibria; equilibrium and nonequilibrium thermophysical properties; fundamental thermodynamic relations; and stability. The systems central to the journal include pure substances and mixtures of organic and inorganic materials, including polymers, biochemicals, and surfactants with sufficient characterization of composition and purity for the results to be reproduced. Alloys are of interest only when thermodynamic studies are included, purely material studies will not be considered. In all cases, authors are expected to provide physical or chemical interpretations of the results. Experimental research can include measurements under all conditions of temperature, pressure, and composition, including critical and supercritical. Measurements are to be associated with systems and conditions of fundamental or applied interest, and may not be only a collection of routine data, such as physical property or solubility measurements at limited pressures and temperatures close to ambient, or surfactant studies focussed strictly on micellisation or micelle structure. Papers reporting common data must be accompanied by new physical insights and/or contemporary or new theory or techniques.
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