Composite Cathode Study for Low Temperature SOFC
Bibliographic record
Abstract
Since the kinetics of cathode is slow In low temperature solid oxide fuel cells, full attention has to be given to boost cathode performance through optimization of cathode composition and microstructure. In this contribution, the effect of composition of (1-x) Sm0.5Sr0.5CoO3 (SSC) + x Sm0.2Ce0.8O1.9 (SDC) cathodes (x=0, 10, 25, 40 wt%) sintered at 1000{degree sign}C for 2hrs has been investigated using symmetric cells with Sm0.2Ce0.8O1.9 (SDC) electrolytes. The results showed that an increase in SDC content in the composite cathodes led to an increase in cathode polarization resistance (Rc). The Rc values on average were 0.042 W cm2 for the cathode without SDC addition, 0.063 W cm2 for the cathode with 10 wt% SDC, 0.079 W cm2 for the cathode with 25 wt% SDC, and 0.207 W cm2 for the cathode with 40 wt% SDC at 650{degree sign}C. The calculated activation energy values of the composite cathodes were in the range of 120{plus minus}20 kJ mol-1. We also investigated an in-situ (650{degree sign}C) sintered SSC cathode, and found that it showed the lowest electrochemical polarization resistance, approximately 0.028 W cm2 at 650{degree sign}C. The cathode stability of the symmetric cells has also been tested at 650{degree sign}C in air. No obvious voltage degradation under constant current density (0.5 A cm-2) has been observed in the cells with 1000oC-sintered SSC with 25 wt% SDC. However, the cell with in-situ sintered SSC cathode showed a steady decay rate of -4mV/hr. EIS analysis of the cell before and after the stability test revealed that the
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 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 | 0.000 | 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) | 0.000 | 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".