Electrospun Iron/Polyacrylonitrile Derived Nanofibrous Catalysts for Oxygen Reduction Reaction
Bibliographic record
Abstract
Current proton exchange membrane fuel cells (PEMFCs) suffers from high material costs due to the use of platinum based catalysts necessary for the catalysis of the notoriously slow oxygen reduction reaction (ORR) occurring at the cathode of the cell. The use of significantly cheaper non-precious metal catalysts over expensive platinum catalysts can significantly reduce the material cost of PEMFCs. In the current work, non-precious nanofibrous catalysts were prepared by electrospinning a solution of iron acetate and polyacrylonitrile and subjecting the electrospun fibers to high temperature pyrolysis. The resulting nanofibrous catalysts were evaluated for their ORR activity and characterized via SEM, BET surface area analysis, and XPS. The nanofibrous catalysts were also acid leached and exposed to a second high temperature pyrolysis treatment, showing improved ORR activity. Physical characterization of the twice pyrolyzed catalyst suggests that the catalyst exhibits higher ORR activity due to increased surface area and micropore volume.
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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".