Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8320, USA.
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260-4200, USA.
J Chem Phys. 2017 Aug 7;147(5):054105. doi: 10.1063/1.4996759.
We derive a method for extrapolating the grand canonical free energy landscape of a multicomponent fluid system from one temperature to another. Previously, we introduced this statistical mechanical framework for the case where kinetic energy contributions to the classical partition function were neglected for simplicity [N. A. Mahynski et al., J. Chem. Phys. 146, 074101 (2017)]. Here, we generalize the derivation to admit these contributions in order to explicitly illustrate the differences that result. Specifically, we show how factoring out kinetic energy effects a priori, in order to consider only the configurational partition function, leads to simpler mathematical expressions that tend to produce more accurate extrapolations than when these effects are included. We demonstrate this by comparing and contrasting these two approaches for the simple cases of an ideal gas and a non-ideal, square-well fluid.
我们推导出一种从一个温度到另一个温度外推多组分流体系统的巨正则自由能景观的方法。之前,我们为了简单起见,引入了这个统计力学框架,其中忽略了动能对经典配分函数的贡献[ N. A. Mahynski 等人,J. Chem. Phys. 146, 074101 (2017)]。在这里,我们将推导推广到允许这些贡献的情况,以便明确说明由此产生的差异。具体来说,我们展示了如何先验地分离动能,以便只考虑构象配分函数,这会导致更简单的数学表达式,这些表达式往往比包含这些效应时产生更准确的外推。我们通过比较理想气体和非理想方阱流体这两种简单情况来证明这一点。