@article{30942669920546e9ac78e1a9f1225dab,
title = "Exploring metastable states in UO2 using hybrid functionals and dynamical mean field theory",
abstract = "A detailed exploration of the f-atomic orbital occupancy space for UO2 is performed using a first principles approach based on density functional theory (DFT), employing a full hybrid functional within a systematic basis set. Specifically, the PBE0 functional is combined with an occupancy biasing scheme implemented in a wavelet-based algorithm which is adapted to large supercells. The results are compared with previous DFT + U calculations reported in the literature, while dynamical mean field theory is also performed to provide a further base for comparison. This work shows that the computational complexity of the energy landscape of a correlated f-electron oxide is much richer than has previously been demonstrated. The resulting calculations provide evidence of the existence of multiple previously unexplored metastable electronic states of UO2, including those with energies which are lower than previously reported ground states.",
keywords = "Uranium dioxide, f electrons, Density functional theory, Hybrid functionals, Metastable states",
author = "Ratcliff, {Laura E.} and Luigi Genovese and Hyowon Park and Littlewood, {Peter B.} and Alejandro Lopez-Bezanilla",
note = "Funding: LER acknowledges an EPSRC Early Career Research Fellowship (EP/P033253/1) and the Thomas Young Centre under Grant Number TYC-101. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. We are also grateful to the UK Materials and Molecular Modelling Hub for computational resources, which is partially funded by EPSRC (EP/P020194/1), while calculations were also performed on the Imperial College High Performance Computing Service and the ARCHER UK National Supercomputing Service. HP and PBL acknowledge funding from the US Department of Energy, Office of Science, Basic Energy Sciences Division of Materials Sciences and Engineering. HP gratefully acknowledges the computing resources provided on Bebop, high-performance computing clusters operated by the Laboratory Computing Resource Center at Argonne National Laboratory. Los Alamos National Laboratory is managed by Triad National Security, LLC, for the National Nuclear Security Administration of the U.S. Department of Energy under Contract No. 89233218CNA000001.",
year = "2022",
month = mar,
day = "2",
doi = "10.1088/1361-648X/ac3cf1",
language = "English",
volume = "34",
journal = "Journal of Physics: Condensed Matter",
issn = "0953-8984",
publisher = "IOP Publishing Ltd.",
number = "9",
}