Template Synthesis of Mesoporous Ru- and RuSe-based Catalysts for Proton Exchange Membrane Fuel Cells
Bibliographic record
Abstract
Mesoporous Ru- and RuSe-based catalysts for proton exchange membrane fuel cells were prepared using an amorphous silica gel as a template. Impregnation with sucrose (carbon source), ruthenium(III)-chloride and selenium dioxide was employed to infiltrate the catalyst precursors in the mesopores of the template. After carbonization in argon and reduction in hydrogen atmosphere, the catalyst materials were liberated by dissolving the template framework with hydrofluoric acid. Nitrogen adsorption, X-ray diffraction and transmission electron microscopy were used in order to investigate the structural properties of the prepared catalyst samples. The catalytic activity towards the reduction of oxygen was tested using the rotating-ring-disk-electrode technique. It was observed that RuSe-containing carbon samples possess a higher catalytic activity for oxygen reduction than Ru-containing carbon samples.
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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".