Oxidation of Formic Acid, Methanol, and Ethanol at Surface-Modified Pt/C Catalysts
Bibliographic record
Abstract
Pt-Bi/C and Pt-Pb/C catalysts were prepared by surface decoration of a commercial Pt/C catalyst, and their catalytic activities for electrochemical oxidation of formic acid, methanol and ethanol were compared. The electrocatalytic activity of these catalysts towards formic acid oxidation has been studied by both cyclic voltammetry and chronoamperometry. It was found that after addition of Bi or Pb, the catalytic activity of the Pt/C catalyst for formic acid oxidation increased greatly at low potentials. Bi in particular was found to greatly enhance oxidation of formic acid through the direct pathway in which absorbed CO is not formed, while it strongly inhibited methanol oxidation. It was found that the currents at 0 V vs SCE for formic acid oxidation at the Pt-Bi/C and Pt-Pb/C catalysts were ~ 6 and ~ 2 times higher, respectively compared to the unmodified Pt/C catalyst. In addition, the Pt-Bi/C catalyst showed more stable activity relative to Pt-Pb/C. The Pt-Bi/C catalyst also showed slightly higher activity for ethanol oxidation at low potentials compared to the unmodified Pt/C.
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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".