The Influence of Pt Surface Area on the Photo‐Enhancement of the Methanol Oxidation Reaction
Bibliographic record
Abstract
Abstract The methanol oxidation reaction (MOR) on both Pt/TiO2/C and Pt/C‐based electrodes can be photo‐enhanced by illuminating the electrodes with UV light. This fact has called into question the role of TiO2 in the photo‐enhancement of MOR when Pt is present. To examine this further, we have studied the change in the photo‐enhancement of methanol electro‐oxidation with Pt surface area. For each catalyst, there was greater MOR activity in the presence of UV‐irradiation. However, upon potential cycling, there was a faster decline in MOR activity in the presence of UV‐irradiation compared to the MOR activity in the dark. A linear relation between the decay in methanol oxidation current with the decay in Pt surface area for both catalysts was observed. This strongly suggests that irradiation enhances the methanol oxidation process on the Pt surface. When TiO2 is present, it has a synergetic electronic effect that further enhances the oxidation process on the Pt surface.
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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 | 0.001 |
| 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) | 0.002 | 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".