Sol-Gel Derived Pt-Ir Mixed Catalysts for DMFC Applications
Bibliographic record
Abstract
Thin, nanoparticulate films of Pt-Ir (1.8:1 molar ratio), formed using a sol-gel derived process, show excellent activity toward methanol oxidation at room temperature for use in direct methanol fuel cells (DMFCs). When compared on a mass basis to pure Pt or Ir sol-based films, yields 3.5 and 6 times higher methanol oxidation activity, respectively, and is also significantly more active than carbon-supported Johnson-Matthey PtRu (1:1). When also corrected for true surface area, the catalyst continues to outperform Pt and exhibits excellent stability. The Pt-Ir catalyst is most active when dried at 250°C, and conversion of Ir to Ir oxide causes significant loss in methanol oxidation activity. © 2004 The Electrochemical Society. All rights reserved.
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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 | 0.000 |
| 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) | 0.000 | 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".