Cu‐doped Ba<sub>0.5</sub>Sr<sub>0.5</sub>FeO<sub>3‐δ</sub> for electrochemical synthesis of hydrogen peroxide via a 2‐electron oxygen reduction reaction<sup>1</sup>
Bibliographic record
Abstract
Abstract Electrochemical synthesis of hydrogen peroxide (H 2 O 2 ) via a two‐electron (2e – ) oxygen reduction reaction (ORR) has emerged as a sustainable synthesis route compared to the anthraquinone oxidation synthesis process. Ba 0.5 Sr 0.5 Fe (1‐ x ) Cu x O 3‐δ perovskite is a particularly interesting electrocatalyst for ORR applications owing to its doping flexibility. In this study, we use experimental and computation approaches to study Ba 0.5 Sr 0.5 FeO 3‐δ with and without copper doping at the B‐site for 2e – ORR. Our electrochemical measurements in oxygen‐saturated alkaline solution show that the selectivity of perovskite electrocatalyst increases from 30% to 65% with (0.05) copper doping in the B‐site and the onset potential is decreased. Density functional theory calculations are used to unravel the role of copper in driving high activity and selectivity toward 2e – ORR. Site‐specific engineering of Ba 0.5 Sr 0.5 FeO 3‐δ by copper doping in the B‐site exposed unique adsorption sites with improved activity and selectivity for H 2 O 2 formation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".