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Structure-Based Generalizations for Multiple Temperature Infinite-Dilution Activity Coefficients Data for Aqueous Systems

机译:水系统多温度无限稀释活动系数数据的基于结构的概括

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Often phase equilibrium data are necessary for the proper design and operation of most chemical processes. When experimental data are not available, generalized thermodynamic models, including group contribution methods, are used to predict the equilibrium phase behavior. Recently, we have developed structure-based quantitative structure-property relationship (QSPR) models to correlate the infinite-dilution activity coefficients (γ∞) of aqueous systems. These QSPR models were successful in correlating γ∞ at a single temperature; however, they failed to account accurately for the temperature dependence in this property. As such, a suitable theoretical framework is required to provide a sound basis for generalized γ∞ predictions over a wide range of temperature.
机译:相位平衡数据通常是大多数化学过程的适当设计和操作所必需的。当实验数据不可用时,使用包括组贡献方法的广义热力学模型来预测平衡相位行为。最近,我们开发了基于结构的定量结构 - 性质关系(QSPR)模型,以与水性系统的无限稀释活性系数(γ∞)相关。这些QSPR模型在单个温度下成功地相关γ∞;但是,他们未能准确地考虑到这一属性的温度依赖性。因此,需要合适的理论框架来为广泛的温度提供广义γ∞预测的基础。

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