Oxygen Vacancies as Active Sites for Water Dissociation on Rutile<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>TiO</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo>(</mml:mo><mml:mn>110</mml:mn><mml:mo>)</mml:mo></mml:math>

2001 Physical Review Letters 965 citations

Abstract

Through an interplay between scanning tunneling microscopy experiments and density functional theory calculations, we determine unambiguously the active surface site responsible for the dissociation of water molecules adsorbed on rutile TiO(2)(110). Oxygen vacancies in the surface layer are shown to dissociate H(2)O through the transfer of one proton to a nearby oxygen atom, forming two hydroxyl groups for every vacancy. The amount of water dissociation is limited by the density of oxygen vacancies present on the clean surface exclusively. The dissociation process sets in as soon as molecular water is able to diffuse to the active site.

Keywords

Dissociation (chemistry)RutileSelf-ionization of waterOxygenMoleculeAdsorptionScanning tunneling microscopeOxygen atomDensity functional theoryMaterials scienceQuantum tunnellingChemical physicsPhysical chemistryPhysicsChemistryComputational chemistryNanotechnologyQuantum mechanics

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Publication Info

Year
2001
Type
article
Volume
87
Issue
26
Pages
266104-266104
Citations
965
Access
Closed

Citation Metrics

965
OpenAlex
4
Influential
926
CrossRef

Cite This

Renald Schaub, Peter Thostrup, Núria López et al. (2001). Oxygen Vacancies as Active Sites for Water Dissociation on Rutile<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>TiO</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo>(</mml:mo><mml:mn>110</mml:mn><mml:mo>)</mml:mo></mml:math>. Physical Review Letters , 87 (26) , 266104-266104. https://doi.org/10.1103/physrevlett.87.266104

Identifiers

DOI
10.1103/physrevlett.87.266104
PMID
11800845

Data Quality

Data completeness: 81%