Drifts and TPD analyses of ethanol on Pt catalysts over Al<sub>2</sub>O<sub>3</sub> and ZrO<sub>2</sub>—partial oxidation of ethanol
Bibliographic record
Abstract
Abstract Ethanol adsorption on platinum catalysts supported on Al2O3 and ZrO2 was studied by temperature‐programmed desorption (TPD) and DRIFTS analysis. TPD of ethanol showed that the alumina support favoured the dehydration and decomposition ethanol, besides the water–gas shift reaction. DRIFTS analyses showed different intermediate species on the Pt/Al2O3 and Pt/ZrO2 catalysts. On the Pt/Al2O3 catalyst it was observed formation and decomposition of acetate species. On the Pt/ZrO2 were observed ethoxy species. Catalytic tests of the partial oxidation of ethanol showed that the H2 selectivity was higher on the Pt/Al2O3 compared to the Pt/ZrO2 catalyst. Marked difference was observed for the H2/CO ratio, suggesting preferential WGSR for Pt/Al2O3 and the reverse WGSR for the Pt/ZrO2 catalyst. These results allowed proposing different reaction routes.
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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 | 0.001 | 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".