| Literature DB >> 31399548 |
Steven R Spurgeon1, Michel Sassi2, Colin Ophus3, Joanne E Stubbs4, Eugene S Ilton2, Edgar C Buck5.
Abstract
Oxygen defects govern the behavior of a range of materials spanning catalysis, quantum computing, and nuclear energy. Understanding and controlling these defects is particularly important for the safe use, storage, and disposal of actinide oxides in the nuclear fuel cycle, since their oxidation state influences fuel lifetimes, stability, and the contamination of groundwater. However, poorly understood nanoscale fluctuations in these systems can lead to significant deviations from bulk oxidation behavior. Here we describe the use of aberration-corrected scanning transmission electron microscopy and electron energy loss spectroscopy to resolve changes in the local oxygen defect environment in [Formula: see text] surfaces. We observe large image contrast and spectral changes that reflect the presence of sizable gradients in interstitial oxygen content at the nanoscale, which we quantify through first-principles calculations and image simulations. These findings reveal an unprecedented level of excess oxygen incorporated in a complex near-surface spatial distribution, offering additional insight into defect formation pathways and kinetics during [Formula: see text] surface oxidation.Entities:
Keywords: actinide oxides; electron energy loss spectroscopy; scanning transmission electron microscopy; surface oxidation; uraninite
Year: 2019 PMID: 31399548 PMCID: PMC6717280 DOI: 10.1073/pnas.1905056116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205
Fig. 1.Imaging and simulation of the sample surfaces. (A and B) Colorized cross-sectional STEM-HAADF images of the unoxidized (111)-oriented (A) and oxidized (001)-oriented (B) sample surfaces, respectively. These images are taken along the [110] and [100] zone axes, respectively. (C and D) Experimental (C) and simulated (D) mean unit cells, and corresponding line traces, for the (001) sample.
Fig. 2.Spectroscopy of the sample surfaces. (A) STEM-EELS composition map of the U edge measured at the unoxidized (111) sample surface. (B and C) STEM-HAADF image of the (111) surface and corresponding O edge spectra extracted from the numbered windows, respectively. (D and E) STEM-HAADF image of the oxidized (001) surface and corresponding O edge spectra extracted from the numbered windows, respectively. (F and G) Difference plots showing changes in spectral features relative to the bulk, marked by 1 to 5, for the (001)- and (111)-oriented sample surfaces, respectively.
Fig. 3.Analysis of oxygen defect environment in the (001) sample. (A and B) Comparison between experimental EELS and theoretically calculated XANES spectra accounting for the presence of interstitial oxygen for the bulk spectrum 7 (A) and near-surface spectrum 3 (B), respectively. The experimental data (black), contributions from O lattice sites (blue), interstitial O (orange), and the resulting linear combinations (green) are shown. Key emergent features are marked by a–c in C. (C) Calculated O lattice site (blue) and interstitial O (orange) components, normalized to the same scale. (D) Estimate of effective local stoichiometry per unit cell. Inset shows an illustration of the oxygen defect formed.