Co-expression of multi-genes for polynary perovskite electrocatalysts for reversible solid oxide cells

High-entropy LnBaCo<sub>2</sub>O<sub>5+δ</sub> perovskites are explored as rSOC air electrodes, though high configuration entropy (S<sub>config</sub>) alone poorly correlates with performance due to multifactorial interactions. We systematically engineer LnBaCo<sub>2</sub>O<sub>5+δ</sub> perovskites (Ln = lanthanides) with tunable S<sub>config</sub> and 20 consistent parameters, employing Bayesian-optimized symbolic regression to decode activity descriptors. The model identifies synergistic contributions from S<sub>config</sub>, ionic radius, and electronegativity, enabling screening of 177,100 compositions. Three validated oxides exhibit superior activity/durability, particularly (Pr<sub>0.05</sub>La<sub>0.4</sub>Nd<sub>0.2</sub>Sm<sub>0.1</sub>Y<sub>0.25</sub>)BaCo<sub>2</sub>O<sub>5+δ</sub>, showing enhanced oxygen vacancy concentration and disordered transport pathways. First-principles studies reveal optimized charge transfer kinetics via cobalt-oxygen bond modulation. Further, the interplay between first ionization energy, atomic mass, and ionic Lewis acidity dictates stability. This data-driven approach establishes a quantitative framework bridging entropy engineering and catalytic functionality in complex oxides.

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Publication Details

Journal
Nature Communications
Published
2025-03-25
DOI
https://doi.org/10.1038/s41467-025-58178-7
Citations
17
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
6.18

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article

Co-expression of multi-genes for polynary perovskite electrocatalysts for reversible solid oxide cells

Ning Chen, Subiao Liu, Abdullah N. Alodhayb, Xin Cheng Tu et al.
17 citations
Nature Communications
Electrocatalysts for Energy Conversion
6.18
article

Co-expression of multi-genes for polynary perovskite electrocatalysts for reversible solid oxide cells

Ning Chen, Subiao Liu, Abdullah N. Alodhayb, Xin Cheng Tu, Yongkang Xiang, Zongping Shao, Chang Jiang, Zhou Chen, Yifei Sun, Ning Yan, Haiping Lv, Yong Xue, Guangming Yang, Jianhui Li, Xiao Xiao, Yu Chen, Shijie Wang, Jinru Lin, Hongyuan He, Xiaoxin Zhang, Yuanming Pan
article en
17 citations

Abstract

High-entropy LnBaCo<sub>2</sub>O<sub>5+δ</sub> perovskites are explored as rSOC air electrodes, though high configuration entropy (S<sub>config</sub>) alone poorly correlates with performance due to multifactorial interactions. We systematically engineer LnBaCo<sub>2</sub>O<sub>5+δ</sub> perovskites (Ln = lanthanides) with tunable S<sub>config</sub> and 20 consistent parameters, employing Bayesian-optimized symbolic regression to decode activity descriptors. The model identifies synergistic contributions from S<sub>config</sub>, ionic radius, and electronegativity, enabling screening of 177,100 compositions. Three validated oxides exhibit superior activity/durability, particularly (Pr<sub>0.05</sub>La<sub>0.4</sub>Nd<sub>0.2</sub>Sm<sub>0.1</sub>Y<sub>0.25</sub>)BaCo<sub>2</sub>O<sub>5+δ</sub>, showing enhanced oxygen vacancy concentration and disordered transport pathways. First-principles studies reveal optimized charge transfer kinetics via cobalt-oxygen bond modulation. Further, the interplay between first ionization energy, atomic mass, and ionic Lewis acidity dictates stability. This data-driven approach establishes a quantitative framework bridging entropy engineering and catalytic functionality in complex oxides.

Nature CommunicationsVol. 16(1)
Nanjing Tech University (CN), Central South University (CN), University of Liverpool (GB), Shenzhen University (CN), Xiamen University (CN), Chinese Academy of Sciences (CN), Curtin University (AU), King Saud University (SA), University of Saskatchewan (CA), Wuhan University (CN), Institute of Applied Ecology (CN), Canadian Light Source (Canada) (CA)
National Natural Science Foundation of China, King Saud University, Engineering and Physical Sciences Research Council, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 3%
Electrocatalysts for Energy Conversion
6.18
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