Fuel Cell Studies on a Non-Noble Metal Catalyst Prepared by a Template-Assisted Synthesis Route
Bibliographic record
Abstract
The catalytic activity of a templated catalyst material (Fe–N–C), prepared using FeCl 3 , pyrrole, and a mesoporous silica gel as template, was investigated. The oxygen reduction reaction activity of the catalyst material was measured using the rotating ring-disk electrode technique, revealing an onset potential of about 0.85 V vs a reversible hydrogen electrode. The catalytic activity of the prepared sample was also tested in a 5 cm 2 fuel cell for different catalyst loadings using oxygen or air atmospheres. Fuel cell polarization measurements were recorded at 75 ° C . The power densities varied between 0.032 and 0.095 W / cm 2 for different catalyst loadings when oxygen was used. In addition, durability tests were carried out by keeping the cell at 0.6 V for 16 h. The current densities decayed to about 25% of the initial value during this period. The results are compared to state-of-the-art results from the literature. The templated catalyst shows comparable activity to the best catalysts in the literature but its durability requires improvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 | 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".