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(100) 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.
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Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(100) interface from a high-dimensional neural network potential
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28 June 2018
Research Article|
March 27 2018
Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(100) interface from a high-dimensional neural network potential

Vanessa Quaranta
;
Vanessa Quaranta
1
Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum
, D-44780 Bochum, Germany
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Matti Hellström
;
Matti Hellström
1
Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum
, D-44780 Bochum, Germany
2
Universität Göttingen, Institut für Physikalische Chemie, Theoretische Chemie
, Tammannstr. 6, D-37077 Göttingen, Germany
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Jörg Behler
;
Jörg Behler
a)
1
Lehrstuhl für Theoretische Chemie, Ruhr-Universität Bochum
, D-44780 Bochum, Germany
2
Universität Göttingen, Institut für Physikalische Chemie, Theoretische Chemie
, Tammannstr. 6, D-37077 Göttingen, Germany
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Jolla Kullgren;
Jolla Kullgren
3
Department of Chemistry–Ångström Laboratory, Uppsala University
, P.O. Box 538, SE-75121 Uppsala, Sweden
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Pavlin D. Mitev
;
Pavlin D. Mitev
3
Department of Chemistry–Ångström Laboratory, Uppsala University
, P.O. Box 538, SE-75121 Uppsala, Sweden
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Kersti Hermansson
Kersti Hermansson
b)
3
Department of Chemistry–Ångström Laboratory, Uppsala University
, P.O. Box 538, SE-75121 Uppsala, Sweden
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J. Chem. Phys. 148, 241720 (2018)
Article history
Received:
November 09 2017
Accepted:
January 25 2018
Connected Content
A companion article has been published:
AI characterizes the interface between zinc oxide and water
Citation
Vanessa Quaranta, Matti Hellström, Jörg Behler, Jolla Kullgren, Pavlin D. Mitev, Kersti Hermansson; Maximally resolved anharmonic OH vibrational spectrum of the water/ZnO(100) interface from a high-dimensional neural network potential. J. Chem. Phys. 28 June 2018; 148 (24): 241720. https://doi.org/10.1063/1.5012980
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