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Possible effect of static surface disorder on diffractive scattering of H-2 from Ru(0001): Comparison between theory and experiment

机译:静态表面紊乱对Ru(0001)H-2衍射散射的可能影响:理论与实验之间的比较

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Specific features of diffractive scattering of H-2 from metal surfaces can serve as fingerprints of the reactivity of the metal towards H-2, and in principle theory-experiment comparisons for molecular diffraction can help with the validation of semi-empirical functionals fitted to experiments of sticking of H-2 on metals. However, a recent comparison of calculated and Debye-Waller (DW) extrapolated experimental diffraction probabilities, in which the theory was done on the basis of a potential energy surface (PES) accurately describing sticking to Ru(0001), showed substantial discrepancies, with theoretical and experimental probabilities differing by factors of 2 and 3. We demonstrate that assuming a particular amount of random static disorder to be present in the positions of the surface atoms, which can be characterized through a single parameter, removes most of the discrepancies between experiment and theory. Further improvement might be achievable by improving the accuracy of the DW extrapolation, the model of the H-2 rotational state distribution in the experimental beams, and by fine-tuning the PES. However, the question of whether the DW model is applicable to attenuation of diffractive scattering in the presence of a sizable van der Waals well (depth approximate to 50 meV) should also receive attention, in addition to the question of whether the amount of static surface disorder effectively assumed in the modeling by us could have been present in the experiments. Published by AIP Publishing.
机译:来自金属表面的H-2衍射散射的具体特征可以用作金属朝向H-2的反应性的指纹,并且原则上的分子衍射的实验比较可以有助于验证适用于实验的半实验功能在金属上粘附H-2。然而,最近进行计算和DEBY-WALLER(DW)外推实验衍射概率的比较,其中基于潜在的能量表面(PE)来准确地描述粘附到Ru(0001)的潜在能量表面(PE)进行,显示出大量差异由2和3的因素不同的理论和实验概率。我们证明假设可以通过单个参数表征在表面原子的位置中的特定量的随机静态障碍,从而消除实验之间的大部分差异和理论。通过提高DW外推的精度,实验梁中的H-2旋转状态分布的模型,以及通过微调PE,可以实现进一步的改进。然而,除了静电量的问题外,还应接受对差异散射的差异散射的衰减(深度近似值)的问题。在我们建模中有效地假设的疾病可能存在于实验中。通过AIP发布发布。

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