Highly Active PdPt Catalysts for the Electrochemical Reduction of H2O2
Bibliographic record
Abstract
Recent studies have shown that the use of hydrogen peroxide as a fuel cell oxidant instead of oxygen significantly increases the power density. In this paper, we report on highly active carbon supported PdPt catalysts for hydrogen peroxide reduction. Four different PdPt electrocatalysts, Pd/C, Pt/C, Pd 0.5 Pt 0.5 /C, and Pd 0.25 Pt 0.75 /C, were prepared and characterized using transmission electron microscopy, energy dispersive x-ray spectroscopy, x-ray diffraction, and Brunauer–Emmet–Teller surface area analysis. The electrocatalytic activities of these synthesized catalysts were studied using a rotating disk electrode system with a combination of linear sweep voltammetry and chronoamperometry. Our studies show that the Pd 0.25 Pt 0.75 /C catalyst has the highest activity for hydrogen peroxide reduction, outperforming the Pd/C, Pt/C, and Pd 0.5 Pt 0.5 /C catalysts.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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".