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基准测试近似范德华方法在 SiO 和 AlPO 骨架的结构和能量性质方面的性能。

Benchmarking the performance of approximate van der Waals methods for the structural and energetic properties of SiO and AlPO frameworks.

机构信息

Crystallography Group, Department of Geosciences, University of Bremen, Klagenfurter Straße 2-4, D-28359 Bremen, Germany.

Université de Lorraine and CNRS, LPCT, UMR 7019, 54506 Vandœuvre-lès-Nancy, France.

出版信息

J Chem Phys. 2019 Mar 7;150(9):094102. doi: 10.1063/1.5085394.

Abstract

Density functional theory (DFT) calculations using sixteen different approaches, fourteen of which were designed to include dispersion interactions [DFT + D and van der Waals (vdW)-DF methods], were performed for a set of sixteen framework compounds with either SiO or AlPO composition. The compounds include four dense structures (α-quartz, α-cristobalite, and their AlPO analogues), eight all-silica zeolites, and four aluminophosphate zeotypes (AlPOs). We analyzed the performance in reproducing the equilibrium structure for all systems, and computed bulk moduli and relative stabilities were compared to experiments for those compounds where experimental data are available. We found that the results obtained with functionals that take into account dispersive interactions are closer to experiments than those obtained with a bare generalized gradient functional. However, the variation among individual methods is considerable, and functionals that perform well for one quantity may give rather large deviations for another. Taking together the whole body of results, it appears that the Perdew-Burke-Ernzerhof functional including a many-body dispersion correction and the rev-vdW-DF2 methods present the best performance for the description of SiO and AlPO materials.

摘要

采用十六种不同方法的密度泛函理论(DFT)计算,其中十四种方法旨在包括色散相互作用[DFT+D 和范德华(vdW)-DF 方法],对具有 SiO 或 AlPO 组成的十六种骨架化合物进行了计算。这些化合物包括四种致密结构(α-石英、α-方石英及其 AlPO 类似物)、八种全硅沸石和四种铝磷酸盐沸石型(AlPOs)。我们分析了所有系统重现平衡结构的性能,并计算了体弹性模量,并将那些具有实验数据的化合物的相对稳定性与实验进行了比较。我们发现,考虑色散相互作用的泛函得到的结果比只用广义梯度泛函得到的结果更接近实验。然而,个别方法之间的差异相当大,对于一个量表现良好的泛函可能会对另一个量产生相当大的偏差。综合所有结果,似乎包括多体色散校正的 Perdew-Burke-Ernzerhof 泛函和 rev-vdW-DF2 方法在描述 SiO 和 AlPO 材料方面表现最好。

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