Ballmilling of Carbon Supports to Enhance the Performance of Fe-based Electrocatalysts for Oxygen Reduction in PEM Fuel Cells
Bibliographic record
Abstract
The effect of ballmilling three carbon black supports on the ORR activity of Fe-based electrocatalysts was investigated. Catalysts were prepared by acid-washing these ballmilled carbon supports, then impregnating them with iron(II) acetate and pyrolyzing in NH3 at 950{degree sign}C. It was found that ballmilling the carbon support improved the ORR activity for catalysts made with Black Pearls 2000 (Cabot), but decreased it for those made with N650 and left it relatively unchanged for those made with N234 (both low surface area commercial furnace carbon blacks from Sid Richardson Carbon Corporation). For catalysts made with ballmilled Black Pearls 2000, it was found that ORR activity increases as i) degree of disorder increases, ii) the change in micropore surface area due to pyrolysis increases, iii) nitrogen content increases and iv) crystallite size (La) approaches 24 Aå. No compelling trends were found for catalysts made with ballmilled N234 and N650.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".