High-throughput, super-resolution 3D reconstruction of nano-structured solid oxide fuel cell electrodes and quantification of microstructure-property relationships

Zhang, Yanxiang; Yan, Fuyao; Yan, Mufu; Wan, Yanhong; Jiao, Zhenjun; Xia, Changrong; Chen, Fanglin; Ni, Meng

doi:10.1016/j.jpowsour.2019.04.065

Title: High-throughput, super-resolution 3D reconstruction of nano-structured solid oxide fuel cell electrodes and quantification of microstructure-property relationships

Journal Article · Wed Apr 24 00:00:00 EDT 2019 · Journal of Power Sources

DOI:https://doi.org/10.1016/j.jpowsour.2019.04.065· OSTI ID:1571436

^[1]; Yan, Fuyao ^[1]; Yan, Mufu ^[1]; Wan, Yanhong ^[2];

^[3]; Xia, Changrong ^[2];

^[4];

^[5]

Harbin Inst. of Technology (China)
Univ. of Science and Technology of China, Hefei (China)
Harbin Inst. of Technology, Shenzhen (China)
Univ. of South Carolina, Columbia, SC (United States)
Hong Kong Polytechnic Univ., Hong Kong (China)

Nano-structuring methods are actively applied to solid oxide fuel cell electrodes to reduce the operating temperature while preserving a high electro-catalytic activity. The unique nanoscale microstructure is vital to electrochemical performance, yet not well quantified in three dimensions. Here, with a multi-stage recovering principle of distance correlation functions, the three-dimensional microstructures of La_0.8Sr_0.2MnO_3-δ nanoparticles infiltrated porous Y_0.16Zr_0.84O_2-δ electrodes are reconstructed with a dimension of 1024 × 1024 × 1024 voxels at a resolution of 7.5 nm from one two-dimensional micrograph. The key geometric characteristics, such as tortuosity factors, active surface/interface areas and three-phase boundary length, are calculated from the reconstructed three-dimensional microstructures at various loadings of La_0.8Sr_0.2MnO_3-δ. Combining with the analysis of distribution of relaxation times, the active three-phase boundary length is shown to be the main factor governing the electrode impedance, and is related quantitatively to the electrochemical process at high frequency. The accuracy of capturing nanoscale features is validated by the focused ion beam sectioning dataset of a Ni-Y_0.16Zr_0.84O_2-δ electrode at nanoscale resolution. Lastly, this work provides a promising strategy for reconstructing three-dimensional heterogeneous nanostructures from one super-resolution two-dimensional micrograph, and demonstrates a quantitative approach for uncovering processing-structure-property relationships of nanostructured electrodes and beyond.

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Research Organization:: Univ. of South Carolina, Columbia, SC (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: FE0031670

OSTI ID:: 1571436

Journal Information:: Journal of Power Sources, Vol. 427, Issue C; ISSN 0378-7753

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 15 works

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