Nitrogen Doped Carbon Nanotubes Based Non-Precious Metal Catalysts for Oxygen Reduction Reaction at Alkaline Fuel Cell Cathode
Bibliographic record
Abstract
Alkaline fuel cell is a highly efficient and environmentally friendly energy conversion device showing great potential for sustainable development. However, to realize the commercialization of alkaline fuel cell, many obstacles must be overcome. The biggest challenge is perhaps to improve the oxygen reduction reaction (ORR) at the alkaline fuel cell cathode. Platinum based catalyst remained to be the most effective catalyst for ORR, but the scarcity and high cost prohibit large scale application in alkaline fuel cell. Nitrogen doped carbon materials have showed great potential for ORR, making these catalysts desirable replacements for platinum based catalysts. In this paper, nitrogen doped carbon nanotube exhibiting high ORR activity is presented. Through material characterizations, the various factors affecting the activity of nitrogen doped carbon nanotube are elaborated as well.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".