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Related Experiment Video

Updated: Aug 12, 2025

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry
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Quantitative analysis of the structural evolution in Si anode via multi-scale image reconstruction.

Chen Zhu1, Shiming Chen1, Ke Li1

  • 1School of Advanced Materials, Peking University Shenzhen Graduate School, Shenzhen 518055, China.

Science Bulletin
|February 1, 2023
PubMed
Summary

Silicon anodes experience significant capacity loss due to volume changes during cycling. This study uses advanced 3D imaging to reveal the structural evolution and failure mechanisms of silicon anodes, enabling performance optimization.

Keywords:
Li-ion batterySi anodeStructural evolutionThree-dimensional image reconstruction

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Nanotechnology

Background:

  • Silicon anodes offer high theoretical capacity for next-generation batteries.
  • Significant volume expansion (up to 300%) during cycling causes capacity fade in silicon anodes.
  • Understanding structural evolution is crucial for optimizing silicon anode performance.

Purpose of the Study:

  • To visualize and quantitatively analyze the structural evolution of silicon anodes during electrochemical cycling.
  • To elucidate the failure mechanisms of silicon anodes by combining macroscopic and microscopic observations.
  • To establish a novel methodology for analyzing electrode material degradation.

Main Methods:

  • Multi-scale three-dimensional (3D) image reconstruction.
  • Focused ion beam and scanning electron microscopy (FIB-SEM) for component analysis.
  • Statistical analysis of silicon particle size changes during cycling.

Main Results:

  • Quantitative analysis of silicon particles, inactive components, and voids within the electrode.
  • Visualization of structural changes at both macroscopic and microscopic levels.
  • Demonstration of the failure mechanism through integrated 3D modeling and component analysis.

Conclusions:

  • A new methodology for analyzing structural and compositional evolution in silicon anodes has been established.
  • The combined approach provides vivid insights into silicon anode failure mechanisms.
  • This methodology can be applied to optimize other electrode materials facing similar challenges.