Communications Materials (Jun 2022)

Three-dimensional imaging of grain boundaries via quantitative fluorescence X-ray tomography analysis

  • Mingyuan Ge,
  • Xiaojing Huang,
  • Hanfei Yan,
  • Doga Gursoy,
  • Yuqing Meng,
  • Jiayong Zhang,
  • Sanjit Ghose,
  • Wilson K. S. Chiu,
  • Kyle S. Brinkman,
  • Yong S. Chu

DOI
https://doi.org/10.1038/s43246-022-00259-x
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 11

Abstract

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Visualizing the composition of grain networks is key for understanding the structure evolution and functional properties of composite materials. Here, X-ray fluorescence tomography, coupled with an absorption correction algorithm, reveals mechanistic insights in the phase transformations and transport properties of a mixed ionic-electronic conductor.