PVF-PPy Composite as Support Material for Facile Synthesis of Pt@PVF-PPy Catalyst and Its Electrocatalytic Activity Towards Formic Acid Oxidation
Bibliographic record
Abstract
Preparation and characterization of a Pt-based catalyst supported on poly(vinylferrocenium)-poly(pyyrole) conducting polymer composite (Pt@PVF-PPy) was described for electrocatalytic oxidation of formic acid. Pt precursor was aqueous solution of K2PtCl4 and electrochemical and chemical reduction methods were compared for optimum catalyst performance. Other experimental parameters such as polymer film thickness and Pt loading were also optimized with respect to the formic acid oxidation peak current values. Scanning electron microscopy, cyclic voltammetry and chronoamperometry methods were used for physical and electrochemical characterization of the catalyst system. When compared with similar Pt-based conducting polymer supported catalyst systems, the Pt@PVF-PPy catalyst revealed superior performance for formic acid electrooxidation.
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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 | 0.001 | 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 | 0.000 | 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".