Predictive Removal of Interfacial Defect-Induced Trap States between Titanium Dioxide Nanoparticles via Sub-Monolayer
Joyashish Debgupta1, Leonardo Lari2, Mark Isaacs3,4
1Department of Chemistry, University of York, York YO10 5DD, UK.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces
|January 20, 2023
Summary
Zirconium (Zr) doping corrects defect-induced trap states in anatase titanium dioxide (TiO2) surfaces. This improves electron conductivity and mobility, enhancing energy applications like photocatalysts and photovoltaics.
Area of Science:
- Materials Science
- Surface Chemistry
- Computational Chemistry
Background:
- Defect-induced trap states in anatase TiO2 surfaces hinder performance in energy applications.
- Intrinsic structural distortions are identified as the cause of these trap states.
Purpose of the Study:
- To investigate the use of Zirconium (Zr) ions to correct defect-induced trap states in anatase TiO2.
- To experimentally validate first-principles modeling predictions regarding Zr modification.
- To assess the impact of Zr doping on the electronic properties and performance of TiO2 nanocrystals.
Main Methods:
- First-principles modeling to understand defect formation and Zr interaction.
- Synthesis of Zr-modified anatase TiO2 nanocrystals using various Zr precursors.
- Characterization using structural and spectroscopic methods, including continuous-wave electron paramagnetic resonance (EPR).
- Fabrication of nanoporous films and electrochemical charge injection studies.
Main Results:
- First-principles modeling predicted that Zr(IV) ions can correct intrinsic structural distortions causing trap states.
- Experimental EPR confirmed dominant interfacial hole trap states under illumination, significantly reduced by optimized Zr doping.
- Zr doping improved electron conductivity and mobility in nanocrystalline TiO2 films.
Conclusions:
- Zr doping effectively reduces interfacial defects in anatase TiO2.
- The methodology offers a pathway to enhance the efficiency of metal oxide-based energy systems.
- This approach has broad applicability for photocatalysts, photovoltaics, and fuel cells.


