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基于高维神经网络势的水/ZnO(101¯0)界面的最大分辨非谐 OH 振动光谱。

Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(101¯0) interface from a high-dimensional neural network potential.

机构信息

Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum, D-44780 Bochum, Germany.

Department of Chemistry-Ångström Laboratory, Uppsala University, P.O. Box 538, SE-75121 Uppsala, Sweden.

出版信息

J Chem Phys. 2018 Jun 28;148(24):241720. doi: 10.1063/1.5012980.

Abstract

Unraveling the atomistic details of solid/liquid interfaces, e.g., by means of vibrational spectroscopy, is of vital importance in numerous applications, from electrochemistry to heterogeneous catalysis. Water-oxide interfaces represent a formidable challenge because a large variety of molecular and dissociated water species are present at the surface. Here, we present a comprehensive theoretical analysis of the anharmonic OH stretching vibrations at the water/ZnO(101¯0) interface as a prototypical case. Molecular dynamics simulations employing a reactive high-dimensional neural network potential based on density functional theory calculations have been used to sample the interfacial structures. In the second step, one-dimensional potential energy curves have been generated for a large number of configurations to solve the nuclear Schrödinger equation. We find that (i) the ZnO surface gives rise to OH frequency shifts up to a distance of about 4 Å from the surface; (ii) the spectrum contains a number of overlapping signals arising from different chemical species, with the frequencies decreasing in the order ν(adsorbed hydroxide) > ν(non-adsorbed water) > ν(surface hydroxide) > ν(adsorbed water); (iii) stretching frequencies are strongly influenced by the hydrogen bond pattern of these interfacial species. Finally, we have been able to identify substantial correlations between the stretching frequencies and hydrogen bond lengths for all species.

摘要

揭示固/液界面的原子细节,例如通过振动光谱,在许多应用中都至关重要,从电化学到多相催化。水氧化物界面是一个巨大的挑战,因为在表面存在大量的分子和离解水分子。在这里,我们以水/ZnO(101¯0)界面为典型案例,对其 OH 伸缩振动的非谐性进行了全面的理论分析。采用基于密度泛函理论计算的反应高维神经网络势的分子动力学模拟被用于采样界面结构。在第二步中,生成了大量构型的一维势能曲线,以求解核薛定谔方程。我们发现:(i) ZnO 表面导致 OH 频率在距离表面约 4 Å 的范围内发生偏移;(ii) 该光谱包含了许多来自不同化学物质的重叠信号,其频率按ν(吸附氢氧根离子) > ν(非吸附水) > ν(表面氢氧根离子) > ν(吸附水)的顺序递减;(iii) 伸缩频率受到这些界面物质氢键模式的强烈影响。最后,我们已经能够确定所有物质的伸缩频率与氢键长度之间存在显著的相关性。

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