Modelling Electron Trapping in Titanium Dioxide

ORAL

Abstract

The trapping of electrons in titanium dioxide (TiO2) underpins a diverse range of applications in areas such as solar energy generation, catalysis, gas sensing and nano-electronics. Predictive modelling of charge trapping using density functional theory remains challenging owing to self-interaction errors present in many widely used approximations. Here, we present a number of practical approaches to predictively model electron trapping in TiO2 and apply them to model the polaronic trapping of electrons and holes in bulk TiO2 [1] as well as electron trapping at two-dimensional defects such as surfaces, heterointerfaces and grain boundaries [2-5].

[1] R. El-Maslmane and K. P. McKenna, in preparation
[2] S. Wallace and K. P. McKenna, J. Phys. Chem. C 119, 1913 (2015)
[3] K. P. McKenna, Phys. Rev. B 94, 155147 (2016)
[4] S. Wallace and K. P. McKenna, Adv. Mater. Inter. 1, 1400078 (2014)
[5] J. M. Jimenez, G. Bourret, T. Berger and K. P. McKenna, J. Amer. Chem. Soc. 138, 15956 (2016)

*We acknowledge support from EPSRC (EP/K003151/1, EP/P006051/1, EP/P023843/1). This work made use of the facilities of Archer, the UK's national high-performance computing service, via our membership in the UK HPC Materials Chemistry Consortium, which is funded by EPSRC (EP/L000202/1).

Presenters

  • Keith McKenna

    • Department of Physics, University of York

Authors

  • Keith McKenna

    • Department of Physics, University of York
  • Razak El-Maslmane

    • Department of Physics, University of York