Analysing carbon deposition on Ni/YSZ anode tested in an Solid Oxide Fuel Cell (SOFC)
Bibliographic record
Abstract
Integrated Planar Solid Oxide Fuel Cells (IP-SOFC), which utilise a Ni/YSZ based anode, have been operated under direct hydrogen-methane mixture fuel injection at 900 oC. This process has shown some disadvantages in fuelling to the IP-SOFC; producing carbon deposition from the methane in the fuel mixture, causing direct structural damage to the IP-SOFC surface and blocking the area of activation for reaction processes and reducing the performances. These factors were shown to adversely affect the performance of the IP-SOFC over time. The aim of this paper is to calculate the amount of carbon deposited through the use of temperature programmed oxidation (TPO). In addition, the distribution of carbon is studied and analysed on all parts of the IP-SOFC cells. The results show that both amorphous and graphitic carbon were formed causing microstructural damage thereby reducing the cell performance. Furthermore, the reaction temperature was demonstrated to increase the total amount of carbon deposition.
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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 | 0.000 |
| 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) | 0.001 | 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".