Yang, L.S., Li, G.S., Zhao, M.L., Yang, E.R. and Li, L.P. (2013) Lattice Defect Quenching Effects on Luminescence Properties of Eu3+-Doped YVO4 Nanoparticles. Journal of Nanoparticle Research, 15, Article No. 1996.
https://doi.org/10.1007/s11051-013-1996-4

has been cited by the following article:

• TITLE: Optimization of Crystal Structure Based on Experimentally Obtained XRD Patterns for Fluorescence of Sm3+-Doped TiO2 Thin Films by Machine Learning

  AUTHORS: Yuri Tamamoto, Mariko Murayama, Xiwei Zhao

  KEYWORDS: Machine Learning, Phosphor, TiO2

  JOURNAL NAME: Optics and Photonics Journal, Vol.12 No.6, June 28, 2022

  ABSTRACT: The luminescence intensity of rare-earth ion-doped luminescent materials is closely related to the configuration of the anions around the rare-earth ions added to the host material and the lattice defects. And it is expected that this information will be reflected in the XRD pattern. In this study, the lumines-cence data and XRD patterns of Sm-doped TiO2 accumulated by our group are used to construct a model to predict the integrated luminescence intensity. The model was confirmed to be able to predict the integrated luminescence in-tensity with high accuracy. Furthermore, we found that the integrated lumi-nescence intensity of this system is closely related to the change in the position of the peak on the (200) plane of TiO2.