Published October 2021 | Version v1
Journal article

Clustering of excess oxygen in uranium dioxide: A first-principles study

  • 1. Department of Nuclear Engineering, University of Tennessee, Knoxville, TN 37996 (United States)
  • 2. Fusion Energy Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)

Description

To explore the behavior of excess oxygen in uranium dioxide (UO2+x), we have investigated the energetics of oxygen interstitial clusters using density function theory (DFT+U). The calculations are based on transverse 3k antiferromagnetic UO2+x with a Pa3¯ configuration. The spin-orbit coupling increases the possibility of capturing the ground state of UO2 without special control. The size of the simulation boxes significantly impacts the formation energies and thus the clustering energies of defects, especially for large oxygen interstitial clusters with charge states. The interactions between two negatively charged oxygen interstitials as a function of distance in UO2+x demonstrate that the oxygen interstitials prefer a split di-interstitial configuration for distances less than 0.5 nm, but the mono-interstitial is the preferred configuration for distances greater than 0.6 nm. Cube-octahedral clusters are metastable and may relax to split-type clusters. The clustering energies of oxygen interstitial clusters imply that the interstitials are more prone to cluster for Fermi levels close to the valence band, while the clustering becomes energetically unfavorable at Fermi levels beyond the mid band gap. The Bader charge analysis indicates that neighboring uranium ions to the oxygen interstitials can oxidize to a +5 valence state.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jnucmat.2021.153087

Additional details

Identifiers

DOI
10.1016/j.jnucmat.2021.153087;
PII
S002231152100310X;

Publishing Information

Journal Title
Journal of Nuclear Materials
Journal Volume
554
Journal Page Range
vp.
ISSN
0022-3115
CODEN
JNUMAM

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.