A Novel Approach to Quantitative Morphology Estimation of Ceria Nanoparticles Based on Their Electron Trap-distribution Patterns and Implications in Catalysis

Key Points

• The research aims to quantitatively estimate the morphology of ceria nanoparticles by analyzing their electron trap-distribution patterns.
• Evaluated the crystalline facets of ceria particles to assess their morphology.
• Conducted peak deconvolution on energy-resolved distributions to obtain average morphology.
• Utilized quantitative methods to analyze the impact on catalysis performance.
• Identified characteristic shapes of ceria nanoparticles through quantitative assessment.
• Observed significant correlations between morphology and catalytic behavior.
• Demonstrated that morphology influences the effectiveness of ceria in catalytic applications.