Recent Advances in Non-Precious Metal Electrocatalysts for Oxygen Reduction in PEM Fuel Cells
Bibliographic record
Abstract
Polymer electrolyte membrane fuel cells (PEMFC) are electrical power generators for a wide range of possible applications, but are still considered too expensive for many. To reduce their cost, much research has focused on replacing the expensive Pt-based electrocatalysts in PEMFCs with a lower-cost alternative. Fe-based cathode catalysts are a promising alternative. To compete with Pt-based cathode catalysts, non-precious metal catalysts must meet three key criteria: have high catalytic activity, allow for high power density at meaningful cell voltages and have adequate operational stability/durability. Over the last three years our research group at INRS-EMT has made significant progress in achieving these criteria including a cathode catalyst with a power density of 0.75W cm−2 at 0.6V under H2/O2, a meaningful voltage for PEMFC operation, comparable with that of a commercial Pt-based cathode tested under identical conditions.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".