ArticleNature communications2024
Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Oxygen vacancy-mediated BaSnRSC advances · 2026Article
- Machine Learning-Driven Nanoscale Synthesis for Electrocatalytic Performance: From Data-Driven Methodologies to Closed-Loop Optimization.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Peukert-Informed Prediction and Screening of Manganese-Based High-Rate Potassium Cathode.Small methods · 2026Article
- Perovskites in Environmental and Energy Catalysis: Transitioning From Lead-Based to Lead-Free Architectures.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026Review
- Fast-Kinetic and Stable Li-COAngewandte Chemie (International ed. in English) · 2026Article
- Effect of Atomic Layer Deposition of Ultra-Thin Oxide on Reactivity and Durability of Perovskite Oxygen Electrodes.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Strategies for Tuning the Electrical Properties of LaEnergy & fuels : an American Chemical Society journal · 2026Article
- Recent advances in low-temperature ceramic fuel cells: material design and applications.Chemical science · 2026Review
- Transition of Ion Diffusion Mechanism in BaZrSmall methods · 2026Article
- Role of oxygen vacancies on the structural, electronic, optical, and photocatalytic properties of BaScientific reports · 2026Article
- An Ultra-Selective and Humidity-Resistant Room-Temperature-Operated NOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Superionicity of oxygen-deficient davemaoite and its impact on the deep-Earth oxidation cycle.Science advances · 2025Article
- A review on perovskite oxides and their composites as electrode materials for supercapacitors.RSC advances · 2025Review
- Guided electrocatalyst design through in-situ techniques and data mining approaches.Nano convergence · 2025Review
- Evolution and Reconstruction of Air-Electrode Surface Composition in Reversible Protonic Ceramic Cells: Mechanisms, Impacts on Catalytic Performance, and Optimization Strategies - A Review.Advanced materials (Deerfield Beach, Fla.) · 2025Review
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficient catalysts are imperative to accelerate the slow oxygen reaction kinetics for the development of emerging electrochemical energy systems ranging from room-temperature alkaline water electrolysis to high-temperature ceramic fuel cells. In this work, we reveal the role of cationic inductive interactions in predetermining the oxygen vacancy concentrations of 235 cobalt-based and 200 iron-based perovskite catalysts at different temperatures, and this trend can be well predicted from machine learning techniques based on the cationic lattice environment, requiring no heavy computational and experimental inputs. Our results further show that the catalytic activity of the perovskites is strongly correlated with their oxygen vacancy concentration and operating temperatures. We then provide a machine learning-guided route for developing oxygen electrocatalysts suitable for operation at different temperatures with time efficiency and good prediction accuracy.
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Registered trials
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