A GGA+U study of electron localization and oxygen vacancy clustering in rutile TiO2-x

Xiaoping Han, Noureddine Amrane, Altynbek Murat, Zongsheng Zhang, Maamar Benkraouda

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Using the a generalized gradient approximation + Hubbard U (GGA + U) method in the framework of the density functional theory (DFT), we probe the insights into the electron localization and oxygen vacancy (VO) clustering in rutile TiO2-x. First, we examine the dependence of the characteristic gap level in the intrinsic rutile TiO2 on the Hubbard U parameter through investigating a single oxygen vacancy in 3 × 3 × 4 supercell of rutile TiO2. Results show that the use of a moderate effective U (3–5 eV) accounts well for the Ti 3d electrons to induce a localized state within the band gap, consistently addressing the characteristic gap level observed experimentally. Furthermore, two oxygen vacancies are found to energetically cluster in a VO-Ti-VO chain, which induces several states inside the forbidden energy region of TiO2. The appearance of these gap states leads to the enhancement in photoabsorption through effectively functioning as stepping stones for valence electrons to jump into conduction band, offering an accountable explanation for the experimentally observed promotion in the photocatalytic activities of rutile TiO2 under high temperature. Detailed thermodynamic and kinetic analyses have been made to present the high favorability for forming such a cluster. The present work provides a new insight for tailoring the photonic and optoelectronic applications of TiO2-based materials.
Original languageEnglish (US)
Pages (from-to)157395
JournalJournal of Alloys and Compounds
StatePublished - Sep 29 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-19
Acknowledgements: We acknowledge grants from United Arab Emirates University Program for Advanced Research (Grant Nos: 31S109 and 31R146) and from Emirates Center for Energy and Environment Research (Grant No. 31R109-Research Center-ECEER-9-2016). Partial financial support is provided by North University of China through the Key R&D Plans of Shanxi Province (Grant No. 201803D421084).


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