Second Order Dependence on the Surface Fraction of Pt in Pt—Ru<sub>adatom</sub> of the Oxidation of 2-PrOH in Base
Bibliographic record
Abstract
The electrooxidation of 2-PrOH in alkaline electrolyte is studied over a series of Pt-Ru adatom catalysts with controlled surface compositions as a function of potential and temperature. Multivariable analysis is used to determine both kinetic and thermodynamic parameters of interest. PtRu surfaces are found to be more active at low potentials than either Pt or Ru alone. At moderate overpotentials, Pt is the most active catalyst due to a surface blocking effect by Ru. A clear second order dependence on the surface fraction of Pt is determined, and a kinetic isotope effect suggest that both C—H(D) and O—H(D) bonds are broken before or during the rate-determining step for the electro-dehydrogenation of 2-propanol to acetone. Possible mechanisms that account for these observations are discussed.
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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) | 0.001 | 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".