Evolution of electronic conductivity in a Ni/YSZ electrode fabricated by electrophoretic deposition
Bibliographic record
Abstract
Abstract The conductivity of a tubular micro solid oxide fuel cell (TμSOFC) anode is measured in‐situ. The Ni/YSZ composite anode was fabricated using the electrophoretic deposition (EPD) technique. The four‐probe method is used to measure the conductivity of several samples simultaneously under a reducing atmosphere during several cycles of heating, ∼100 h dwelling and cooling periods. Special attention is paid to maintaining similar fabrication and thermal histories among the samples. Despite all this, the measured conductivities show substantial variation and degradation from sample to sample and from one thermal cycle to the next. The most variations occur during the reduction of the cell, with significant oscillations in the measurements. Sample conductivities exhibit step‐like changes during the cooling and heat‐up cycles. A theory based on thermal expansion induced Ni particles connection formation and breakage within the YSZ backbone is proposed. Sample electron microscope micrographs are presented showing island‐like segregated Ni particles within a continuous YSZ structure. Eliminating such effects not only will reduce the cell performance variability but will also increase the peak power by 60 %, according to our simulation results.
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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 | 0.001 | 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 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".