(Co,Fe)<sub>3</sub>O<sub>4</sub> Decorated Nitrogen‐Doped Carbon Nanotubes in Nano‐Composite Gas Diffusion Layers as Highly Stable Bifunctional Catalysts for Rechargeable Zinc‐Air Batteries
Bibliographic record
Abstract
Abstract (Co,Fe) 3 O 4 nanoparticles are decorated onto N‐doped carbon nanotubes at room temperature through a simple mixing process and are simultaneously deposited within a porous gas diffusion layer (GDL) by an impregnation technique. The (Co,Fe) 3 O 4 nanoparticles are identified as the spinel phase through transmission electron microscopy (TEM) and X‐ray photoelectron spectroscopy (XPS) analysis. The composite GDL is used as the air electrode for Zn‐air batteries and shows excellent performance as a bifunctional catalyst with initial discharge and charge potentials of 1.19 V and 2.00 V, respectively, at 20 mA cm −2 . Cycling performance of the impregnated electrode compares favourably with benchmark Pt‐RuO 2 catalysts at both 10 mA cm −2 and 20 mA cm −2 . The (Co,Fe) 3 O 4 /N‐CNT impregnated GDL had a final discharge/charge efficiency of 58.5 % after 100 h (200 cycles) of bifunctional cycling at 10 mA cm −2 , which is superior to that of Pt‐RuO 2 (55.3 % efficiency). The cycling efficiency for (Co,Fe) 3 O 4 /N‐CNT impregnated GDL at 20 mA cm −2 is also better than that for Pt−Ru (53.5 % vs 41.3 % after 50 h (100 cycles)). The result is a simple and easily scalable one‐pot electrode synthesis method for high performing bi‐functional air electrodes for Zn‐air batteries.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".