Atomistic Modeling of Spinel Oxide Particle Shapes and Reshaping under OER Conditions

被引:2
作者
Avci, Oykum N. [1 ,2 ]
Sementa, Luca [3 ]
Fortunelli, Alessandro [1 ]
机构
[1] CNR, ICCOM, Via G Moruzzi 1, I-56124 Pisa, Italy
[2] Univ Pisa, Dept Chem & Ind Chem, DSCM, Via G Moruzzi 13, I-56124 Pisa, Italy
[3] CNR, IPCF, Via G Moruzzi 1, I-56124 Pisa, Italy
来源
PHYSCHEM | 2024年 / 4卷 / 01期
关键词
oxygen evolution reaction; DFT; reaction mechanism; electrocatalysis; spinel oxides; Ni-Fe oxides; Co-Fe oxides; OXYGEN EVOLUTION REACTION; DFT PLUS U; SURFACE-STRUCTURE; NANOPARTICLES; NI; OXIDATION; IRON; FE; CO; NANOCRYSTALS;
D O I
10.3390/physchem4010004
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The surface configurations of the low-index facets of a set of spinel oxides are investigated using DFT+U calculations to derive surface energies and predict equilibrium nanoparticle shapes via the Wulff construction. Two very different conditions are investigated, corresponding to application either in heterogeneous catalysis or in electrocatalysis. First, the bare stoichiometric surfaces of NiFe2O4, CoFe2O4, NiCo2O4, and ZnCo2O4 spinels are studied to model their use as high-temperature oxidation catalysts. Second, focusing attention on the electrochemical oxygen evolution reaction (OER) and on the CoFe2O4 inverse spinel as the most promising OER catalyst, we generate surface configurations by adsorbing OER intermediates and, in an innovative study, we recalculate surface energies taking into account adsorption and environmental conditions, i.e., applied electrode potential and O2 pressure. We predict that under OER operating conditions, (111) facets are dominant in CoFe2O4 nanoparticle shapes, in fair agreement with microscopy measurements. Importantly, in the OER case, we predict a strong dependence of nanoparticle shape upon O2 pressure. Increasing O2 pressure increases the size of the higher-index (111) and (110) facets at the expense of the (001) more catalytically active facet, whereas the opposite occurs at low O2 pressure. These predictions should be experimentally verifiable and help define the optimal OER operative conditions.
引用
收藏
页码:43 / 60
页数:18
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