Influence of Pressure on the Structural and Electrocatalytic Properties of Pt Nanoparticles Grown by Pulsed Laser Ablation onto Carbon Paper Substrate
Bibliographic record
Abstract
The pulsed laser deposition has been used to synthesize Pt nanostructured films onto carbon paper substrate. In summary, we have examined the change occurring in structural characteristics of Pt thin films grown in a He background gas and in vacuum. The electrochemical studies showed that Pt deposited under 5 Torr of He background pressure displayed the highest electroactive surface area, and the highest current mass activity of methanol electro-oxidation. The reason for such enhanced electrocatalytic activity is ascribed to the high roughness of Pt5T surface, which offers more active sites. From an application point of view, this study demonstrates that using similar amount of Pt, the enhancement of the electrocatalytic activity can be achieved by tuning the surface roughness of the Pt rather than increasing its loading.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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".