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Validation of Density Functionals for Adsorption Energies on Transition Metal Surfaces

机译:过渡金属表面吸附能量密度函数的验证

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The quantitative prediction of adsorption energies of radicals and molecules on surfaces is essential for the design and understanding of heterogeneous catalytic processes. A recent paper by Wellendorff et al. collected an experimental database of 39 reaction energies involving adsorption energies on transition metal surfaces that can be used as benchmarks for testing quantum mechanical electronic structure methods, and we compared the experimental data to Kohn-Sham density functional calculations with six exchange-correlation functionals. In this paper, we rearranged the data into two categories: open-shell radical adsorption reactions and closed-shell molecular adsorption reactions. We recalculated the adsorption energies with PBE, and we also calculated them with three functionals, M06-L, GAM, and MN15-L, that were not studied in the Wellendorff et al. paper; then we compared our results to the benchmark data. Of the nine functionals that have been compared to the databases, we find that BEEF-vdW, GAM, and RPBE perform best for the open-shell radical adsorption reactions, and MN15-L performs best for the closed-shell molecular adsorption, followed by BEEF-vdW and M06-L.
机译:对表面上的自由基和分子的吸附能量的定量预测对于非均相催化过程的设计和理解是必不可少的。威伦多夫等人最近的一篇论文。收集了39个反应能量的实验数据库,涉及过渡金属表面的吸附能量,该过渡金属表面可以用作测试量子机械电子结构方法的基准,并且我们将实验数据与六个交换相关功能进行了六个交换相关功能。在本文中,我们将数据重新排列为两类:开壳自由基吸附反应和封闭壳分子吸附反应。我们用PBE重新计算了吸附能量,我们还用三个功能,M06-L,GAM和MN15-L计算它们,这些功能在Wellendorff等人中没有学习。纸;然后我们将结果与基准数据进行了比较。在与数据库进行比较的九个功能中,我们发现BeeF-VDW,GAM和RPBE最适合开壳激进的吸附反应,而MN15-L最适合闭合壳分子吸附,其次是BeeF-VDW和M06-L。

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