Electrodeposition of Ni∕LaCrO[sub 3] Composite Coatings for Solid Oxide Fuel Cell Stainless Steel Interconnect Applications
Bibliographic record
Abstract
A major drawback of currently used ferritic stainless steel interconnects in solid oxide fuel cells is the loss of electrical conductivity due to high-temperature oxidation of the steels and the formation of a poorly conductive chromia layer. To overcome this problem, a composite coating consisting of dispersed conductive particles in a Ni matrix has been developed, studied, and optimized. Codeposition was performed using a Watts nickel electroplating bath containing suspended particles. The optimum conditions to maximize the particle volume fraction in the coating were determined to be a current density of , particle loading in the bath, pH 4, and suspension of particles in the plating bath by means of an overhead impeller. For the optimum conditions, a particle volume fraction in the coating equal to was achieved. Oxidation tests showed that the conductive particles are embedded in the oxide layer, and the oxidation growth rate is reduced remarkably compared with pure Ni electrodeposits.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".