PtNi<sub>x</sub>/C Catalysts for Improved Performance in Ethanol Fuel Cells
Bibliographic record
Abstract
PtNi x /C catalysts were synthesized in various solvents by using a polyol method and were then treated with acetic acid. They were characterized by X-ray powder diffraction, thermal gravimetric analysis and energy-dispersive X-ray spectroscopy. Electro-chemical analysis was carried out by cyclic voltammetry and chronoamperometry to study the activity of these catalysts toward the oxidation of ethanol. Moreover, a commercial PtNi 0.26 /C catalyst was evaluated using the same methods for comparison. A PtNi 0.62 /C(PG) catalyst prepared in propylene glycol was more active toward the oxidation of ethanol than a catalyst prepared in the same way in ethylene glycol and the commercial PtNi 0.26 /C, exhibiting less poisoning by adsorbed CO. Treatment with acetic acid to remove surface Ni further enhanced the activity toward ethanol oxidation. For example, the activity of treated PtNi 0.62 /C(PG) was 11.6 mA mg −1 at 0.27 V while it was 6.7 mA mg −1 for the untreated catalyst.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".