Improving LSM Cathode Performance Using (Cu,Mn)3O4 Spinel Coated UNS430 Ferritic Stainless Steel SOFC Interconnects
Bibliographic record
Abstract
This work focuses on assessing the ability of the (Cu,Mn)3O4 spinel oxide coating to limit Cr2O3 film growth and chromia loss from ferritic 430 stainless steel (UNS430). Several orders of magnitude more conductive than the native Cr2O3 oxide film, this material and other spinel coatings have been applied to UNS430 samples using a low cost fabrication method that is amenable to many interconnect geometries. Coated UNS430 samples were tested under simulated half-cell conditions via direct contact to a porous (La0.8Sr0.2)0.98MnO3 (LSM) cathode supported on 8%YSZ in flowing dry air at 600 to 800 oC. As compared to uncoated UNS430 contacts, spinel-coated interconnects greatly enhance the stability of the cathode when cathodically polarized over a 250+ hour period. WDX analyses show that these films prevent Cr transfer to the LSM-YSZ interface, but are susceptible to long-term loss of Cu.
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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) | 0.001 | 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".