PuTMO3 systems crystal structures prediction and stability analysis based on first principles

Based on particle swarm optimization algorithm and first-principle calculations, the most stable structures of 10 different PuTMO<sub>3</sub> systems are predicted according to their thermodynamical, mechanical and dynamical properties. The results indicate firstly all selected 50 structures are thermodynamically stable based on formation enthalpy results. 29 of the 50 structures are then predicted to be mechanically stable according to mechanical stability criterion for different structures. And then 10 of 29 structures are selected to be dynamically stable based on calculations of phonon frequency, that is, PuTiO<sub>3</sub>(Cc, Pca2_1), PuZnO<sub>3</sub>(Pca2_1, P2_1/m), PuGaO<sub>3</sub>(C2/m), PuMnO<sub>3</sub>(Pna2_1), PuNiO<sub>3</sub>(P4_1), PuFeO<sub>3</sub>(C222_1), PuVO<sub>3</sub>(P2_13), and PuCrO<sub>3</sub>(P2_13). Finally, the electronic properties of these 10 structures were calculated. All these results provide useful information to manufacture Pu-based MOX fuels by controlling impurities through formation of PuTMO<sub>3</sub> compounds and the recycling of materials in recovery process.

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Publication Details

Journal
Scientific Reports
Published
2025-05-19
DOI
https://doi.org/10.1038/s41598-025-02046-3
Primary Topic
Machine Learning in Materials Science
Type
article
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article

PuTMO3 systems crystal structures prediction and stability analysis based on first principles

Rusong Li, Yilin Fang, Zexin Jiang, Wenli Yu et al.
Scientific Reports
Machine Learning in Materials Science
article

PuTMO3 systems crystal structures prediction and stability analysis based on first principles

Rusong Li, Yilin Fang, Zexin Jiang, Wenli Yu, Jintao Wang, Tao Wang, Rui Zhou, Ning Gao
article en

Abstract

Based on particle swarm optimization algorithm and first-principle calculations, the most stable structures of 10 different PuTMO<sub>3</sub> systems are predicted according to their thermodynamical, mechanical and dynamical properties. The results indicate firstly all selected 50 structures are thermodynamically stable based on formation enthalpy results. 29 of the 50 structures are then predicted to be mechanically stable according to mechanical stability criterion for different structures. And then 10 of 29 structures are selected to be dynamically stable based on calculations of phonon frequency, that is, PuTiO<sub>3</sub>(Cc, Pca2_1), PuZnO<sub>3</sub>(Pca2_1, P2_1/m), PuGaO<sub>3</sub>(C2/m), PuMnO<sub>3</sub>(Pna2_1), PuNiO<sub>3</sub>(P4_1), PuFeO<sub>3</sub>(C222_1), PuVO<sub>3</sub>(P2_13), and PuCrO<sub>3</sub>(P2_13). Finally, the electronic properties of these 10 structures were calculated. All these results provide useful information to manufacture Pu-based MOX fuels by controlling impurities through formation of PuTMO<sub>3</sub> compounds and the recycling of materials in recovery process.

Scientific ReportsVol. 15(1)
PLA Rocket Force University of Engineering (CN)
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Machine Learning in Materials Science
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