Investigating the kinetics of small alcohol oxidation reactions using platinum supported on a doped niobium suboxide support
Bibliographic record
Abstract
Abstract Platinum nanoparticles deposited on a silicon‐doped niobium suboxide support provided the catalyst known as Pt/NbOS. This was compared to the commercial Pt/C electrocatalyst in the ethanol and methanol oxidation reactions for use in direct alcohol fuel cells. Cyclic voltammetry and electrochemical impedance spectroscopy demonstrate that the employment of the metal oxide support provides higher peak oxidation currents and smaller charge transfer resistances during alcohol oxidation. Carbon monoxide (CO) stripping experiments showed enhanced removal of CO by Pt/NbOS compared to Pt/C. Pt/NbOS shows its smallest apparent activation energies of 13.3 and 11.9 J mol‐1, for methanol and ethanol oxidation respectively, which are 38% and 27% lower than those of Pt/C at the same potentials. This increased activity of Pt/NbOS is attributed to the strong metal‐support interactions between the active Pt nanoparticles and the NbOS support which demonstrate its utility in replacing Pt/C in methanol and ethanol fuel cells.
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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".