Mesoporous iron-nitrogen co-doped carbon material as cathode catalyst for the anion exchange membrane fuel cell
Bibliographic record
Abstract
A novel and commercially available electrocatalyst is characterised and used as cathode catalyst in an anion-exchange membrane fuel cell (AEMFC). The catalyst material is prepared using VariPore™ method by Pajarito Powder, LLC, and as dopants iron and nitrogen are used, making it a mesoporous transition metal-nitrogen-carbon type catalyst. The physico-chemical characterisation shows the success of doping as well as almost completely mesoporous structure (average pore size of approximately 7 nm) with high specific surface area. The initial assessment of the oxygen reduction reaction (ORR) activity by the rotating ring-disc electrode method reveals that the material exhibits a very good electrocatalytic performance in alkaline media having a half-wave potential of 0.89 V. The catalyst material is employed as an anion exchange membrane fuel cell cathode and it shows AEMFC performance as good as that of the Pt-based material. The high ORR electrocatalytic activity of this material is due to the synergy of nitrogen-moieties, namely pyrrolic-N, pyridinic-N and graphitic-N, with iron as well as the highly mesoporous nature.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".