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Estimation of Solvation Entropy and Enthalpy via Analysis of Water Oxygen–Hydrogen Correlations

机译:通过水-氧-氢相关性分析估算溶剂化熵和焓

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摘要

A statistical-mechanical framework for estimation of solvation entropies and enthalpies is proposed, which is based on the analysis of water as a mixture of correlated water oxygens and water hydrogens. Entropic contributions of increasing order are cast in terms of a Mutual Information Expansion that is evaluated to pairwise interactions. In turn, the enthalpy is computed directly from a distance-based hydrogen bonding energy algorithm. The resulting expressions are employed for grid-based analyses of Molecular Dynamics simulations. In this first assessment of the methodology, we obtained global estimates of the excess entropy and enthalpy of water that are in good agreement with experiment and examined the method’s ability to enable detailed elucidation of solvation thermodynamic structures, which can provide valuable knowledge toward molecular design.
机译:提出了用于估计溶剂化熵和焓的统计力学框架,该框架基于对作为相关水氧和水氢混合物的水的分析。熵递增的贡献是根据互信息扩展进行评估的,该互信息扩展被评估为成对交互。反过来,直接从基于距离的氢键能算法中计算出焓。所得的表达式用于分子动力学模拟的基于网格的分析。在对方法学的首次评估中,我们获得了与实验完全吻合的水的过量熵和焓的整体估计值,并研究了该方法能够详细阐明溶剂化热力学结构的能力,这可以为分子设计提供有价值的知识。

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