CH<sub>3</sub>OH Oxidation Activities of an Unsupported Pt<sub>x</sub>Ru<sub>y</sub> Powder Catalyst before and after Different Electrochemical Treatments
Bibliographic record
Abstract
An unsupported Pt75Ru25 powder was synthesized by co-reducing the corresponding precursor salts rapidly. An alloy powder of Pt75Ru25 composition was formed in this manner. The catalyst powders were subjected to various electrochemical treatments in either 0.5 M H2SO4 or 0.5 M CH3OH + 0.5 M H2SO4 solutions. Applying specific electrochemical treatments in respect to time (e.g., the potential cycling number) relative to the E+ value result in either a decrease or increase in the CH3OH oxidation activity of this catalyst. The differently treated catalyst powders were further studied using EDX, XPS and CO adsorbed (COads) stripping voltamograms and transients. The results suggest that removal of surface Ru-oxides result in an increase in CH3OH electro-oxidation activity, while extensive loss of Ru from the catalyst surface results in a decrease in CH3OH oxidation activity. Refluxing this as-prepared catalyst powder in an excess of boiling 0.5 M H2SO4 did neither result in the removal of the surface Ru-oxides nor improve the CH3OH oxidation activity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".