Thermodynamics of Asymmetric Primitive Model Electrolytes via the Hypernetted Chain Approximation

被引:0
|
作者
Mohoric, Tomaz [1 ]
Luksic, Miha [1 ]
Hribar-Lee, Barbara [1 ]
机构
[1] Univ Ljubljana, Fac Chem & Chem Technol, SI-1000 Ljubljana, Slovenia
关键词
Primitive model electrolyte; hypernetted-chain approximation; mean spherical approximation; Hansen-Vieillefosse-Belloni equation; mean activity coefficient; osmotic coefficient; Monte Carlo simulation; SYMMETRICAL POISSON-BOLTZMANN; MEAN SPHERICAL APPROXIMATION; ACTIVITY-COEFFICIENTS; MONTE-CARLO; HARD-SPHERES; EQUATION; MIXTURE;
D O I
暂无
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The accuracy of the activity coefficient expression (Hansen-Vieillefosse-Belloni (HVB) equation), valid within the hypernetted-chain (HNC) approximation, was tested in a wide concentration range against newly obtained grand canonical Monte Carlo data for the size and charge asymmetric primitive model electrolytes. In some cases, uncharged hard sphere component was also present. The HVB expression enables a direct calculation of the excess chemical potential, without invoking the time consuming calculation via the Gibbs-Duhem relation. We found the Ornstein-Zernike (OZ)/HNC results for the mean activity coefficient, as well as for the reduced excess internal energy and osmotic coefficient, to be in good agreement with the machine calculations performed for the same model. The accuracy of the results was found to be dependent on the packing fraction of the solutions. The mean spherical approximation calculations were also used to describe the thermodynamics of these systems and compared with the OZ/HNC and simulation results.
引用
收藏
页码:490 / 502
页数:13
相关论文
共 34 条
  • [31] Relative-humidity-dependent organic aerosol thermodynamics via an efficient reduced-complexity model
    Gorkowski, Kyle
    Preston, Thomas C.
    Zuend, Andreas
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (20) : 13383 - 13407
  • [32] From micro to macro dynamics via a new closure approximation to the FENE model of polymeric fluids
    Yu, P
    Du, Q
    Liu, C
    MULTISCALE MODELING & SIMULATION, 2005, 3 (04) : 895 - 917
  • [33] Pattern Formation of a Bubbly Fluid Mixture under the Effect of Thermodynamics via Kudryashov-Sinelshchikov Model
    Abdel-Aty, Abdel-Haleem
    Raza, Nauman
    Batool, Amna
    Mahmoud, Emad E.
    Yahia, Ibrahim S.
    Yousef, El Sayed
    JOURNAL OF MATHEMATICS, 2022, 2022
  • [34] Analyzing signal attenuation in PFG anomalous diffusion via a modified Gaussian phase distribution approximation based on fractal derivative model
    Lin, Guoxing
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 467 : 277 - 288