Fast and accurate calculation of EXAFS Debye-Waller factors in UO2 using the dynamical matrix method

Journal Article (2026)
Author(s)

Nicholas Marcella (Stony Brook University)

Shuxiang Zhou (Idaho National Laboratory)

Fernando D. Vila (University of Washington)

Nirmalendu Patra (Brookhaven National Laboratory)

Alexei Kuzmin (University of Latvia)

Dmitry S. Maltsev (Oak Ridge National Laboratory, The University of Tennessee Knoxville)

Alexander S. Ivanov (University of Tennessee)

Sebastian Couweleers (TU Delft - Applied Sciences)

Anna L. Smith (TU Delft - Applied Sciences)

More Authors (External organisation)

Research Group
RST/Technici Pool
DOI related publication
https://doi.org/10.1103/l3lr-qhdz Final published version
More Info
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Publication Year
2026
Language
English
Research Group
RST/Technici Pool
Journal title
Physical Review Materials
Issue number
6
Volume number
10
Article number
063801
Downloads counter
28
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Abstract

Theoretical modeling of bonding dynamics in metal oxides is required for predicting their thermal conductivity, catalytic activity, and mechanical properties. A primary challenge is the scarcity of experimental methods for validating theoretical predictions of these atomic-scale dynamics. This work presents a workflow that uses experimental extended x-ray absorption fine structure (EXAFS) data collected at high temperatures to validate an interatomic force field for uranium dioxide (UO2), an important model material. The validated force field is then used to drive computationally intensive molecular dynamics (MD) simulations and as input for the much faster dynamical matrix Debye-Waller (DMDW) method. The predicted values of the Debye-Waller factors from the DMDW calculations are in good agreement with those obtained from the MD simulations, with residual pair-specific differences attributable to quantum zero-point motion at low temperatures and lattice anharmonicity at high temperatures. We further show that theoretical EXAFS spectra constructed directly from DMDW-derived Debye-Waller factors reproduce the experimental data (at relatively low temperatures) with accuracy comparable to full MD-EXAFS, providing an additional validation of the choice of the potential. This study establishes a validated, rapid computational pathway for modeling bond dynamics, naturally incorporating quantum nuclear statistics absent in classical simulations, which are essential for the mechanistic understanding of complex oxide materials.

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