Effect of Two Anodic Materials and RuxMoySez as a Cathode Catalyst on the Performance of Two Singlw Chamber Microbial Fuel Cells
Bibliographic record
Abstract
The objectives of this work were to evaluate (i) the application of a bimetallic chalcogenide, RuxMoySez, as an oxygen reduction reaction (ORR) catalyst and (ii) the effect of the type of two anodic materials on the performance of two microbial fuel cells (MFCs). A single chamber MFC-T was built with a plexiglass cylinder, the two extreme circular faces were fitted with PEM-cathode assemblage, i.e., left and right faces. The anode consisted of 65 small triangular pieces of graphite filling the anodic chamber. A second MFC-C had a ‘sandwich’ arrangement anode-PEM-cathode. The cathodes were made of ?exible carbon-cloth containing catalysts loading of 1mg/cm2 RuxMoySez or 0.5mg/cm2 Pt. Power derived by cell T with cathode chalcogenide catalyst was 43% inferior to that of a similar cell with Pt although the cost of the first catalyst is significantly lower than that of Pt, i.e., 73% lower. Finally, application of graphite anode made of small triangular pieces significantly improved the performance of a MFC-T that used RuxMoySez as a cathodic catalyst for ORR.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 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".