Study of metal electrodes in a single-cell hydrogen peroxide fuel cell
Bibliographic record
Abstract
Hydrogen peroxide is a promising alternative to Hydrogen gas as a fuel cell fuel. As hydrogen peroxide can act as both the oxidizing and reducing agent, it reduces the complexity of the cell. The cell can be contained as a single compartment where both the anode and cathode reactions occur. It follows a similar chemical reaction to hydrogen fuel cells, where water is created. The benefit of hydrogen peroxide is that it can be stored more easily and in safer conditions. Evaluating the efficiency of hydrogen peroxide fuel cells is important to justify their validity as a fuel cell alternative. For this study, tantalum and poly(copper phthalocyanine) were tested in a single-compartment fuel cell configuration. The electrodes are tested in an acidic electrolyte solution. To evaluate the cell performances, custom electrodes were made for metals that were not already available and then tested. It was found that the electrode combination of tantalum metal and poly(copper phthalocyanine) carbon cloth electrodes in an acidic electrolyte solution had an output potential of 620 mV. From here, the cell should be scaled to a stack to test its effectiveness further.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".