Nakamura Yuka, Arai Shota, Kinoshita Masahiro, Yoshimori Akira, Akiyama Ryo
Department of Engineering Science, The University of Electro-Communications, Tokyo 182-8585, Japan.
Department of Physics, Niigata University, Niigata 950-2181, Japan.
J Chem Phys. 2019 Jul 28;151(4):044506. doi: 10.1063/1.5100040.
Solute-solvent reduced density profiles of hard-sphere fluids were calculated by using several integral equation theories for liquids. The traditional closures, Percus-Yevick (PY) and the hypernetted-chain (HNC) closures, as well as the theories with bridge functions, Verlet, Duh-Henderson, and Kinoshita (named MHNC), were used for the calculation. In this paper, a one-solute hard-sphere was immersed in a one-component hard-sphere solvent and various size ratios were examined. The profiles between the solute and solvent particles were compared with those calculated by Monte Carlo simulations. The profiles given by the integral equations with the bridge functions were much more accurate than those calculated by conventional integral equation theories, such as the Ornstein-Zernike (OZ) equation with the PY closure. The accuracy of the MHNC-OZ theory was maintained even when the particle size ratio of solute to solvent was 50. For example, the contact values were 5.7 (Monte Carlo), 5.6 (MHNC), 7.8 (HNC), and 4.5 (PY), and the first minimum values were 0.48 (Monte Carlo), 0.46 (MHNC), 0.54 (HNC), and 0.40 (PY) when the packing fraction of the hard-sphere solvent was 0.38 and the size ratio was 50. The asymptotic decay and the oscillation period for MHNC-OZ were also very accurate, although those given by the HNC-OZ theory were somewhat faster than those obtained by Monte Carlo simulations.
通过使用几种液体的积分方程理论,计算了硬球流体的溶质-溶剂约化密度分布。计算中使用了传统的封闭近似,如珀库斯-耶维克(PY)和超网链(HNC)封闭近似,以及带有桥函数的理论,如维里、杜-亨德森和木下(称为MHNC)理论。在本文中,将单个溶质硬球浸入单组分硬球溶剂中,并研究了各种尺寸比。将溶质与溶剂粒子之间的分布与通过蒙特卡罗模拟计算得到的分布进行了比较。带有桥函数的积分方程给出的分布比传统积分方程理论(如带有PY封闭近似的奥恩斯坦-泽尔尼克(OZ)方程)计算得到的分布要精确得多。即使溶质与溶剂的粒径比为50,MHNC-OZ理论的精度依然得以保持。例如,当硬球溶剂的堆积分数为0.38且尺寸比为50时,接触值分别为5.7(蒙特卡罗)、5.6(MHNC)、7.8(HNC)和4.5(PY),第一最小值分别为0.48(蒙特卡罗)、0.46(MHNC)、0.54(HNC)和0.40(PY)。MHNC-OZ的渐近衰减和振荡周期也非常精确,尽管HNC-OZ理论给出的衰减和振荡周期比蒙特卡罗模拟得到的要快一些。