Proton-Transfer Mechanisms at the Water-ZnO Interface: The Role of Presolvation.

The dissociation of water is an important step in many chemical processes at solid surfaces. In particular, water often spontaneously dissociates near metal oxide surfaces, resulting in a mixture of H2O, H+, and OH- at the interface. Ubiquitous proton-transfer (PT) reactions cause these species to dynamically interconvert, but the underlying mechanisms are poorly understood. Here, we develop and use a reactive high-dimensional neural-network potential based on density functional theory data to elucidate the structural and dynamical properties of the interfacial species at the liquid-water-metal-oxide interface, using the nonpolar ZnO(101̅0) surface as a prototypical case. Molecular dynamics simulations reveal that water dissociation and recombination proceed via two types of PT reactions: (i) to and from surface oxide and hydroxide anions ("surface-PT") and (ii) to and from neighboring adsorbed hydroxide ions and water molecules ("adlayer-PT"). We find that the adlayer-PT rate is significantly higher than the surface-PT rate. Water dissociation is, for both types of PT, governed by a predominant presolvation mechanism, i.e., thermal fluctuations that cause the adsorbed water molecules to occasionally accept a hydrogen bond, resulting in a decreased PT barrier and an increased dissociation rate as compared to when no hydrogen bond is present. Consequently, we are able to show that hydrogen bond fluctuations govern PT events at the water-metal-oxide interface in a way similar to that in acidic and basic aqueous bulk solutions.

[1]  K. Fichthorn,et al.  ReaxFF Reactive Force Field Study of the Dissociation of Water on Titania Surfaces , 2013 .

[2]  G. Voth,et al.  Role of Presolvation and Anharmonicity in Aqueous Phase Hydrated Proton Solvation and Transport. , 2016, The journal of physical chemistry. B.

[3]  M. Parrinello,et al.  The nature and transport mechanism of hydrated hydroxide ions in aqueous solution , 2002, Nature.

[4]  M. Tuckerman,et al.  Structure and dynamics of OH-(aq). , 2006, Accounts of chemical research.

[5]  Jörg Behler,et al.  Constructing high‐dimensional neural network potentials: A tutorial review , 2015 .

[6]  Alla Tereshchenko,et al.  Optical biosensors based on ZnO nanostructures: advantages and perspectives. A review , 2016 .

[7]  K. Domen,et al.  Photocatalytic Water Splitting: Recent Progress and Future Challenges , 2010 .

[8]  J. Nørskov,et al.  Improved adsorption energetics within density-functional theory using revised Perdew-Burke-Ernzerhof functionals , 1999 .

[9]  H. Morkoç,et al.  A COMPREHENSIVE REVIEW OF ZNO MATERIALS AND DEVICES , 2005 .

[10]  T. Morawietz,et al.  How van der Waals interactions determine the unique properties of water , 2016, Proceedings of the National Academy of Sciences.

[11]  D. Keffer,et al.  Ab Initio Molecular Dynamics Simulations of an Excess Proton in a Triethylene Glycol-Water Solution: Solvation Structure, Mechanism, and Kinetics. , 2016, The journal of physical chemistry. B.

[12]  Michael A. Henderson,et al.  The Interaction of Water with Solid Surfaces: Fundamental Aspects Revisited , 2002 .

[13]  S. Grimme,et al.  A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. , 2010, The Journal of chemical physics.

[14]  M. Hybertsen,et al.  Computational investigation of structural and electronic properties of aqueous interfaces of GaN, ZnO, and a GaN/ZnO alloy. , 2014, Physical chemistry chemical physics : PCCP.

[15]  Steven D. Brown,et al.  Neural network models of potential energy surfaces , 1995 .

[16]  Axel Groß,et al.  Dispersion corrected RPBE studies of liquid water. , 2014, The Journal of chemical physics.

[17]  Amalendu Chandra,et al.  Aqueous basic solutions: hydroxide solvation, structural diffusion, and comparison to the hydrated proton. , 2010, Chemical reviews.

[18]  E. Martínez,et al.  Zinc oxide nanoparticles for selective destruction of tumor cells and potential for drug delivery applications , 2010, Expert opinion on drug delivery.

[19]  J. Carrasco,et al.  A Molecular Perspective of Water at Metal Interfaces , 2012 .

[20]  A. Michaelides,et al.  Solvent-Induced Proton Hopping at a Water–Oxide Interface , 2014, The journal of physical chemistry letters.

[21]  Y. Tateyama,et al.  Catalytic Proton Dynamics at the Water/Solid Interface of Ceria-Supported Pt Clusters. , 2016, Journal of the American Chemical Society.

[22]  M. McCoustra Water at interfaces. , 2008, Physical chemistry chemical physics : PCCP.

[23]  P. Popelier,et al.  Potential energy surfaces fitted by artificial neural networks. , 2010, The journal of physical chemistry. A.

[24]  A. V. Duin,et al.  Hydroxylation Structure and Proton Transfer Reactivity at the Zinc Oxide−Water Interface , 2011 .

[25]  H Hussain,et al.  Structure of a model TiO2 photocatalytic interface. , 2017, Nature materials.

[26]  J Behler,et al.  Representing potential energy surfaces by high-dimensional neural network potentials , 2014, Journal of physics. Condensed matter : an Institute of Physics journal.

[27]  J. Behler Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations. , 2011, Physical chemistry chemical physics : PCCP.

[28]  Michele Parrinello,et al.  Generalized neural-network representation of high-dimensional potential-energy surfaces. , 2007, Physical review letters.

[29]  Chandler,et al.  Effect of environment on hydrogen bond dynamics in liquid water. , 1996, Physical review letters.

[30]  Y. Shibuta,et al.  Proton Migration on Hydrated Surface of Cubic ZrO2: Ab initio Molecular Dynamics Simulation , 2015 .

[31]  S. Köppen,et al.  Atomistic Simulations of the ZnO(12̅10)/Water Interface: A Comparison between First-Principles, Tight-Binding, and Empirical Methods. , 2012, Journal of chemical theory and computation.

[32]  Gábor Csányi,et al.  Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions , 2016, Chemical reviews.

[33]  Jörg Behler,et al.  Concentration-Dependent Proton Transfer Mechanisms in Aqueous NaOH Solutions: From Acceptor-Driven to Donor-Driven and Back. , 2016, The journal of physical chemistry letters.

[34]  J. Behler,et al.  Self-Diffusion of Surface Defects at Copper–Water Interfaces , 2017 .

[35]  Christof Wöll,et al.  The chemistry and physics of zinc oxide surfaces , 2007 .

[36]  Jörg Behler,et al.  Neural network molecular dynamics simulations of solid-liquid interfaces: water at low-index copper surfaces. , 2016, Physical chemistry chemical physics : PCCP.

[37]  Timothy C. Berkelbach,et al.  Concerted hydrogen-bond dynamics in the transport mechanism of the hydrated proton: a first-principles molecular dynamics study. , 2009, Physical review letters.

[38]  J. Behler Perspective: Machine learning potentials for atomistic simulations. , 2016, The Journal of chemical physics.

[39]  E. Schwegler,et al.  Hydrogen-bond dynamics of water at the interface with InP/GaP(001) and the implications for photoelectrochemistry. , 2013, Journal of the American Chemical Society.

[40]  Structure of a model TiO 2 photocatalytic interface , 2016 .

[41]  M. Gillan,et al.  Perspective: How good is DFT for water? , 2016, The Journal of chemical physics.

[42]  Hilla Peretz,et al.  Ju n 20 03 Schrödinger ’ s Cat : The rules of engagement , 2003 .