Sutton Christopher, Levchenko Sergey V
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, United States.
Skolkovo Innovation Center, Skolkovo Institute of Science and Technology, Moscow, Russia.
Front Chem. 2020 Dec 3;8:757. doi: 10.3389/fchem.2020.00757. eCollection 2020.
In most applications, functional materials operate at finite temperatures and are in contact with a reservoir of atoms or molecules (gas, liquid, or solid). In order to understand the properties of materials at realistic conditions, statistical effects associated with configurational sampling and particle exchange at finite temperatures must consequently be taken into account. In this contribution, we discuss the main concepts behind equilibrium statistical mechanics. We demonstrate how these concepts can be used to predict the behavior of materials at realistic temperatures and pressures within the framework of atomistic thermodynamics. We also introduce and discuss methods for calculating phase diagrams of bulk materials and surfaces as well as point defect concentrations. In particular, we describe approaches for calculating the configurational density of states, which requires the evaluation of the energies of a large number of configurations. The cluster expansion method is therefore also discussed as a numerically efficient approach for evaluating these energies.
在大多数应用中,功能材料在有限温度下运行,并与原子或分子库(气体、液体或固体)接触。因此,为了理解材料在实际条件下的性质,必须考虑与有限温度下的构型采样和粒子交换相关的统计效应。在本论文中,我们讨论平衡统计力学背后的主要概念。我们展示了如何在原子热力学框架内,利用这些概念预测材料在实际温度和压力下的行为。我们还介绍并讨论了计算 bulk 材料和表面的相图以及点缺陷浓度的方法。特别地,我们描述了计算构型态密度的方法,这需要评估大量构型的能量。因此,还讨论了团簇展开方法,作为一种评估这些能量的数值有效方法。