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Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations

机译:基于结构优化选择的密度泛函理论计算的多组件系统簇扩展方法

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摘要

The cluster expansion (CE) method has been used to evaluate configurational properties in multicomponent systems based on the density-functional theory (DFT) calculations. Appropriate selections of not only clusters but also structures for DFT calculations (DFT structures) are crucial for the accuracy and the efficiency of the CE. In a conventional procedure to construct the CE, the CE error is reduced mainly through an appropriate selection of clusters. In the present paper, we propose an improved procedure that systematically leads to optimal selections of both clusters and DFT structures. DFT structures are chosen to cover as much of the configurational space as possible. During the iterative process, the predictive power of the out-of-sample structures can be increased up to the accuracy that is required to describe alloy thermodynamics. We apply the procedure to configurational behaviors in a simple MgO-ZnO pseudobinary system and in a complex MgAl_2O_4 system. The CE error is reduced in both systems, in particular, in the complex system, thereby significantly improving configurational properties at high temperatures compared with the conventional CE procedure.
机译:基于密度泛函理论(DFT)计算,已经使用簇扩展(CE)方法来评估多组分系统中的构型特性。不仅要选择聚类,还要对DFT计算的结构(DFT结构)进行适当的选择对于CE的准确性和效率至关重要。在构造CE的常规过程中,CE错误主要通过适当选择簇来减少。在本文中,我们提出了一种改进的程序,该程序系统地导致了群集和DFT结构的最佳选择。选择DFT结构以覆盖尽可能多的配置空间。在迭代过程中,样本外结构的预测能力可以提高到描述合金热力学所需的精度。我们将该程序应用于简单的MgO-ZnO伪二进制系统和复杂的MgAl_2O_4系统中的配置行为。在两个系统中,特别是在复杂系统中,CE误差均得到降低,与传统的CE程序相比,在高温下可显着改善配置性能。

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