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Simple Parameter-Free Bridge Functionals for Molecular Density Functional Theory. Application to Hydrophobic Solvation

机译:用于分子密度功能理论的简单的无参数桥功能。 应用于疏水性溶剂化

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Computer simulations have been fundamental in understanding the fine details of hydrophobic solvation and hydrophobic interactions. Alternative approaches based on liquid-state theories have been proposed, but are not yet at the same degree of completeness and accuracy. In this vein, a classical, molecular density functional theory approach to hydrophobic solvation is introduced. The lowest, second-order approximation of the theory, equivalent to the hypernetted chain approximation in integral equations, fails in describing correctly cavitation free-energies. It is corrected here by two simple, angular-independent, so-called bridge functionals; they are parameter-free in the sense that all variables can be fixed unambiguously from the water bulk properties, including pressure, isothermal compressibility, and liquid-gas surface tension. A hard-sphere bridge functional, based on the known functional of a reference hard fluid system, turns out to face strong limitations for water. A simpler weighted density approximation is shown to properly reproduce the solvation free energy of hydrophobes of various sizes, from microscopic ones to the nanoscale, and predicting the solvation free energy of a data set of more than 600 model hydrophobic molecules having a variety of shapes and sizes with an accuracy of a quarter of k(B)T compared to Monte Carlo simulations values. It constitutes an excellent starting point for a general functional describing accurately both hydrophobic and hydrophilic solvation, and making it possible to study nonidealized hydrophobic interactions.
机译:理解疏水性溶剂化和疏水相互作用的细节,计算机模拟是基础的。已经提出了基于液态理论的替代方法,但尚未以相同的完整性和准确性。在该静脉中,介绍了一种经典的分子密度泛函理论方法疏水溶剂化。该理论的最低二阶近似值,相当于整体方程中的高纳链近似,在描述正确的空化自由能中失败。这里通过两个简单,角度无关,所谓的桥功能纠正;它们是无参数无参数,即所有变量都可以从水散装性能明确固定,包括压力,等温可压缩性和液体气体表面张力。基于参考硬流体系统的已知功能的硬球桥功能,结果是对水的强烈限制。示出了更简单的加权密度近似,以将各种尺寸的水化合物的溶剂化自由能量从微观方式从微观透视均衡再现为纳米级,并预测具有多种形状的600多种疏水分子的数据集的溶剂化自由能量与Monte Carlo模拟值相比,精度为k(b)t的精度。它构成了一种优异的起始点,其用于精确地描述疏水性和亲水性溶剂,并使得可以研究非侵入性的疏水相互作用。

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