Electrocatalytic Activities of La0.6Ca0.4CoO3 and La0.6Ca0.4CoO3-Carbon Composites Toward the Oxygen Reduction Reaction in Concentrated Alkaline Electrolytes
Bibliographic record
Abstract
Perovskites exhibit high activities toward oxygen reduction reaction (ORR) in alkaline media, which are the promising candidates for air-cathode in zinc-air rechargeable batteries. Among them, La0.6Ca0.4CoO3-C was reported with high ORR activities in alka-line solutions. However, the functioning of carbon support towards ORR was rare studied. In this study, La0.6Ca0.4CoO3 powder was prepared and characterized by X-ray diffraction, high-resolution transmission electron microscopy, and the Brunauer Emmett Teller gas adsorption technique. The electrocatalytic properties of La0.6Ca0.4CoO3 (LCCO) and La0.6Ca0.4CoO3-carbon composite (LCCO-C) layers towards the ORR were comparatively studied using the rotating ring-disk electrode technique in 1, 4, and 6 M KOH electrolytes to reveal the functioning of carbon. The Koutecky-Levich theory and Tafel slope analysis were applied to ac-quire the overall electron transfer number and kinetic parameters, such as kinetic currents, rate constants, and exchange current densities. The overall electron transfer number was measured to be almost 4 for both LCCO and LCCO-C. A synergetic effect to-ward the ORR was observed when carbon was present in the LCCO layer, explained by an assumed 2þ2-electron transfer path-way. The ORR activities and kinetics of LCCO-C were better than LCCO, and the synergetic effect (2þ 2-electron transfer pathway) is proposed as one possible reason.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".