Diffusion and Surface Segregation of Interstitial Ti Defects Induced by Electronic Metal-Support Interactions on a Au/TiO2Nanocatalyst

Guang Jie Xia, Mal Soon Lee, Vassiliki Alexandra Glezakou, Roger Rousseau, Yang Gang Wang

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Abstract

Both the O vacancy and interstitial Ti are ubiquitous defect types found in reduced TiO2-xcatalytic support materials. Without a metal cluster, the interstitial Ti defect is more stable in bulk of TiO2-xrather than becoming the Ti adatom on the reduced surface. Meanwhile, it can slowly diffuse out to regrow TiO2islands after surface oxidation. However, for the widely used Au/TiO2nanocatalyst, ab initio molecular dynamics simulation and density functional theory calculation found, even under the reducing condition with O vacancy, that the Au cluster could induce the outward diffusion and surface segregation of interstitial Ti defects. The Au cluster, which acts as an electron reservoir, enables the interstitial Ti to shed excess electrons and stabilize itself at the Au/TiO2interface. The electronic metal-support interaction not only makes this process exothermic but also reduces its diffusion barrier. When excess O2is further introduced, the TiO2islands can regrow at the metal-support interface to form the inverse supporting local sites. Comparatively speaking, the Au cluster plays a critical role over interstitial Ti diffusion rates, while the additional O2stabilizes the regrowth of TiO2islands. Generally, the surface segregation of interstitial Ti defects could be more favorable for the metals with higher work function, such as Pt and Au, but less for those electron-rich metals with a lower work function, such as Zn. Considering the ubiquity of support defects and the fact that the surface segregation is so facile under not only oxidating but also reducing conditions, we postulate that, in addition to O vacancies, interstitial Ti defects are also crucial for fully understanding the catalytic role of TiO2-supported metal catalysts.

Original languageEnglish
Pages (from-to)4455-4464
Number of pages10
JournalACS Catalysis
Volume12
Issue number8
DOIs
StatePublished - Apr 15 2022
Externally publishedYes

Funding

Y.-G.W. and G.-J.X. acknowledge the financial support from NSFC (nos. 22022504; 22003022) of China, Natural Science Foundation of Guangdong, China (nos. 2021A1515010213, 2021A1515110406), Guangdong ‘‘Pearl River” Talent Plan (no. 2019QN01L353), Higher Education Innovation Strong School Project of Guangdong Province of China (no. 2020KTSCX122) and Guangdong Provincial Key Laboratory of Catalysis (no. 2020B121201002). Part of the funding for this research has been from the US Department of Energy (US-DOE) Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division Catalysis Program (FWP 47319). Computer resources were provided by the National Energy Research Center (NERSC) located at LBNL and the PNNL Research Computing facility. Pacific Northwest National Laboratory is operated by Battelle for DOE under Contract DE-AC05-76RL01830. The computational resources were also supported by the Center for Computational Science and Engineering at Southern University of Science and Technology (SUSTech). Besides, some calculations were performed on the CHEM high-performance computing cluster (CHEM-HPC) located at the Department of Chemistry, SUSTech. Y.-G.W. and G.-J.X. acknowledge the financial support from NSFC (nos. 22022504; 22003022) of China, Natural Science Foundation of Guangdong, China (nos. 2021A1515010213, 2021A1515110406), Guangdong ??Pearl River" Talent Plan (no. 2019QN01L353) Higher Education Innovation Strong School Project of Guangdong Province of China (no. 2020KTSCX122) and Guangdong Provincial Key Laboratory of Catalysis (no. 2020B121201002). Part of the funding for this research has been from the US Department of Energy (US-DOE) Basic Energy Sciences Chemical Sciences, Geosciences, and Biosciences Division Catalysis Program (FWP 47319). Computer resources were provided by the National Energy Research Center (NERSC) located at LBNL and the PNNL Research Computing facility. Pacific Northwest National Laboratory is operated by Battelle for DOE under Contract DE-AC05-76RL01830. The computational resources were also supported by the Center for Computational Science and Engineering at Southern University of Science and Technology (SUSTech). Besides, some calculations were performed on the CHEM high-performance computing cluster (CHEM-HPC) located at the Department of Chemistry SUSTech.

Keywords

  • AIMD simulation
  • DFT calculation
  • electronic metal-support interaction
  • gold
  • interstitial defect
  • surface segregation
  • titania

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