Temperature Dependence of Oxygen Reduction Catalyzed by Cobalt Fluoro‐Phthalocyanine Adsorbed on a Graphite Electrode
Bibliographic record
Abstract
Abstract The graphite electrode surface onto which cobalt(II) 1,2,3,4,8,9,10,11,15,16,17,18,22,23,24,25‐hexadecafluoro‐29H,31H‐phthalo‐cyanine (abbreviated as CoIIHFPC) is adsorbed displays a strong electrocatalytic activity toward O2 reduction. The electrochemical response of surface adsorbed CoIIHFPC is investigated at different pHs and temperatures by cyclic voltammetry. The kinetics of the catalyzed O2 reduction at different temperatures, measured by cyclic voltammetric and rotating disk electrode methods, is analyzed and a corresponding reaction mechanism is proposed. A two‐electron/two‐proton process is found to be the dominating pathway for CoIIHFPC catalyzed O2 reduction. The increase in temperature, from 20 to 70 °C, enhances the reduction rate significantly. The presence of methanol has no effect on its catalytic activity towards O2 reduction. The implications of using this non‐noble electrocatalyst for the cathode reaction in low temperature fuel cells, including direct organic, metal‐air fuel cells, etc., are discussed in this paper.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".