Methanol electro-oxidation at Pt<i><sub>x</sub></i> Ru<sub>(1–<i>x</i>)</sub>O<i><sub>y</sub></i> electrodes — An in situ FTIR study
Bibliographic record
Abstract
In this work we investigated the nature of the intermediates adsorbed during the electrooxidation of methanol on PtxRu(1–x)Oy electrodes, where 0.5 < x < 0.9, prepared by the decomposition of polymeric precursors. Thin layer electrodes with different compositions were prepared directly on a gold substrate by thermal decomposition of ethylene glycol – citric acid solutions containing the precursor salts at 400 °C. In situ IR reflectance spectra were obtained using the SPAIRS (single potential alteration infrared reflectance spectroscopy) and SNIFTIRS (subtractively normalized interfacial Fourier transform IR reflectance spectroscopy) techniques. For all the investigated compositions, the SNIFTIRS and SPAIRS spectra displayed three main bands, which were attributed to CO species in the linear (COL) and bridged (COB) forms adsorbed over Pt and linearly adsorbed over Ru. Formation of CO2 carbonyl species was also detected. The spectra features were analyzed in terms of the applied potential and they were compared with those reported for Pt–Ru electrodes prepared by other methods.Key words: methanol, electrocatalytic oxidation, in situ infrared reflectance spectroscopy, PtxRu(1–x)Oy, adsorption
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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".