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

Abstract

The composition of exposed crystalline facets, reflecting the morphology of ceria particles with characteristic shapes, was evaluated quantitatively to obtain their "average" morphology by peak deconvolution of their energy-resolved distribution of electron traps measured by reversed double-beam photoacoustic spectroscopy. Implications in catalysis are discussed based on the facet composition.