Xinjun Hu , Jinlong Yu , Maolin Jiang , Jianping Tian , Manjiao Chen , Dan Huang
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Investigation of liquor microstructure (ethanol-water clusters): Molecular dynamics simulation and density functional theory
Ethanol and water are the primary components of liquor. In this study, molecular dynamics (MD) simulations and density functional theory (DFT) were used to model ethanol-water clusters and infer possible structures of ethanol-water solutions. Nuclear magnetic resonance (NMR) and density of states analysis were employed to confirm the existence of clusters and further describe their properties. By comparing binding energies and calculating coordination numbers, we found that the ethanol-water solution with a molecular ratio of 1:2 forms three stable clusters. Under ideal conditions, the cluster ratio is approximately 1:1:6. Generally, the clusters undergo continuous splitting and recombination.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.