Oxygen Reduction Reaction on Pt/C Catalysts Prepared by Impregnation and Liquid Phase Photo-Deposition
Bibliographic record
Abstract
Pt/C catalysts supported on carbon (5 wt.% Pt) synthesized by photo-deposition and impregnation methods were electrochemi- cally evaluated in the oxygen reduction reaction. Platinum nanoparticles were prepared by photo-irradiation of Pt precursors (H2PtCl6 and C10H14O4Pt) with UV-irradiation (365 nm) at room temperature. The photo-reduction of H2PtCl6 to metallic platinum (Pt4+→Pt2+→Pt0) was faster than C10H14O4Pt (Pt2+→Pt0) at the same operation conditions. The Pt/C samples were characterized by XRD, EDS, H2 chemisorption, TEM, cyclic and linear voltammetry techniques. XRD and TEM/EDS studies showed that Pt particles synthesized with C10H14O4Pt by the photo-deposition method were smaller with a higher dispersion on carbon than those prepared with H2PtCl6. A similar behavior was found when the impregnation method is used. The platinum particle size was smaller with C10H14O4Pt as compared to H2PtCl6 precursor. The Pt/C catalyst synthesized with C10H14O4Pt by the photo-deposition method displayed a catalytic activity in the oxy- gen reduction reaction comparable to a commercial 10 wt. % Pt/C, ETEK catalyst.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".