journal article·2017-03-08

Anatase (101)-like Structural Model Revealed for Metastable Rutile TiO2(011) Surface

Meiling Xu, Sen Shao, Bo Gao, Jian Lv, Quan Li, Yanchao Wang, Hui Wang, Lijun Zhang, Yanming Ma

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Abstract

Titanium dioxide has been widely used as an efficient transition metal oxide photocatalyst. However, its photocatalytic activity is limited to the ultraviolet spectrum range due to the large bandgap beyond 3 eV. Efforts to reduce the bandgap to achieve a broader spectrum range of light absorption have been successfully attempted via the experimental synthesis of dopant-free metastable surface structures of rutile-type TiO 2 (011) 2 × 1. This new surface phase possesses a reduced bandgap of ∼2.1 eV, showing great potential for an excellent photocatalyst covering a wide range of visible light. There is a need to establish the atomistic structure of this metastable surface to understand the physical cause for the bandgap reduction and to improve the future design of photocatalysts. Here, we report computational investigations in an effort to unravel this surface structure via swarm structure-searching simulations. The established structure adopts the anatase (101)-like structure model, where the topmost 2-fold O atoms form a quasi-hexagonal surface pattern and bond with the unsaturated 5-fold and 4-fold Ti atoms in the next layer. The predicted anatase (101)-like surface model can naturally explain the experimental observation of the STM images, the electronic bandgap, and the oxidation state of Ti 4+ . Dangling bonds on the anatase (101)-like surface are abundant making it a superior photocatalyst. First-principles molecular dynamics simulations have supported the high photocatalytic activity by showing that water and formic acid molecules dissociate spontaneously on the anatase (101)-like surface.
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Research context

OpenAlex topics: Advanced Photocatalysis Techniques · Quantum Dots Synthesis And Properties · TiO2 Photocatalysis and Solar Cells

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Beijing Computational Science Research Center, Beijing 100084, China

Funding

Ministry of Education of the People's Republic of China · Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China · Science Challenge Project

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