1-Hexanol Based Catalyst Inks for Catalyst Layer Preparation for a DMFC
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Bibliographic record
Abstract
Abstract The catalyst ink preparation for a catalyst layer production by screen printing for a direct methanol fuel cell (DMFC) is evaluated. Among a large variety of solvents 1-hexanol was chosen for the preparation due to its properties fitting the requirements for the ink preparation. 1-hexanol based catalyst inks lead to thicker catalyst layers compared to isopropyl-/propylalcohol based catalyst inks, currently used in-house. Despite showing different layer properties, MEAs based on 1-hexanol or isopropyl-/propylalcohol based catalyst layers show comparable electrochemical performances. When using 1-hexanol based catalyst inks the dispersion procedure shows great influence on the outcoming catalyst layer. Long dispersion periods and a medium power output of ultrasonication of the catalyst dispersion are beneficial and lead to good coating qualities of the catalyst layer and therefore to high electrochemical performances.
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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 it