Oxygen Reduction Behavior of Highly Porous Non-Noble Metal Catalysts Prepared by a Template-Assisted Synthesis Route
Bibliographic record
Abstract
Highly porous non-noble metal catalysts have been prepared by template-assisted synthesis, a nanocasting procedure. A mesoporous silica gel was used to prepare different oxygen reduction catalysts. The synthesis procedure consists of the following steps: impregnation of the template with different transition metal salts ( or ), pore filling of the impregnated host material with pyrrole, polymerization of pyrrole with hydrochloric acid and subsequent carbonization in argon as well as final liberation of the catalyst material by dissolving the template framework and the transition metal in hydrofluoric acid. The obtained catalyst samples are highly porous and exhibit outstanding oxygen reduction behavior. The Brunauer, Emmett, and Teller method surface areas between 670 and and pore volumes ranging from have been observed. Onset potentials up to were recorded during the oxygen reduction reaction (ORR). Different parameters affecting ORR activity (e.g., metal source, metal concentration of host material, annealing temperature) have been investigated and are discussed. Corresponding non-noble metal catalysts have been characterized by X-ray diffraction measurements, elemental analysis, scanning electron microscopy, and nitrogen adsorption.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".