Heat-Treated Nonprecious Catalyst Using Fe and Nitrogen-Rich 2,3,7,8-Tetra(pyridin-2-yl)pyrazino[2,3-<i>g</i>]quinoxaline Coordinated Complex for Oxygen Reduction Reaction in PEM Fuel Cells
Bibliographic record
Abstract
Pyrolyzed Fe/N/C catalysts were synthesized using a newly designed and synthesized 2,3,7,8-tetra(pyridin-2-yl)pyrazino[2,3- g ]quinoxaline (TPPQ) organic compound as the nitrogen-containing ligand. The structure of TPPQ was deliberately designed to discourage the agglomeration of Fe during heat treatment as well as to provide a concentrated source of nitrogen. Catalysts were prepared by first coordinating TPPQ with Fe, forming Fe–TPPQ complexes, followed by impregnation onto carbon black (KJ600) and pyrolysis at 900 °C. Catalysts with 0.5%, 1%, 2%, 4%, and 8% initial iron content were prepared, and their physical characteristics were determined by X-ray diffraction, transmission electron microscopy, and X-ray photoelectron spectroscopy analysis. Electrocatalytic activity toward the oxygen reduction reaction was evaluated and compared for all catalysts. The best performing catalyst was found to be the catalyst using 2% initial iron content. Evidence of iron metal and carbide particle formation was found for catalysts with initial iron content higher than 2%.
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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) | 0.001 | 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".