Promotion of Glycerol Oxidation by Selective Ru Decoration of (100) Domains at Nanostructured Pt Electrodes
Bibliographic record
Abstract
Abstract Glycerol (GlOH) electrooxidation is a potential route to GlOH valorisation. In this work, we show that GlOH oxidation can be enhanced at bimetallic Pt−Ru electrodes with respect to bare Pt in sulphuric acid. We electrodeposited high‐surface area Pt electrodes comprising of 40 % (100) sites, along with a smaller amount of (111) domains. Spontaneous Ru deposition was carried out by immersion in a RuCl3 solution for a varying amount of time. Voltammetric methods demonstrated that (100) sites are decorated most readily. Pt−Ru electrodes display an earlier onset potential for COads oxidation, which translates into an anticipation of the main GlOH oxidation wave. Under prolonged Ru deposition, Ru decoration also proceeds close to (111) Pt domains, as highlighted by CO stripping. We suggest that such ensembles may play a critical role in achieving optimal GlOH activity at Pt−Ru.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".