High temperature performance of Mn Co oxide coatings deposited by HiPIMS for interconnect application in Solid Oxide Cell
Bibliographic record
Abstract
To decrease the volatilization rate of Cr on AISI 441 interconnect for Solid Oxide Cells (SOC) application, Mn 0.5 Co 0.5 O coatings were deposited using Reactive High Power Impulse Magnetron Sputtering (R-HiPIMS). Three different coating morphologies and preferential growth orientations were obtained by varying bias and temperature settings. All synthetized Mn 0.5 Co 0.5 O coatings reduced the volatilization rate of Cr during exposure in dry air at 800 °C for 2000 h. Moreover, the Cr retention power was influenced by the preferential growth orientation of the coating. This study suggests that the deposition parameters of R-HiPIMS can be adjusted to optimize the crystalline orientation and enhance the effectiveness of Mn Co oxide coatings as barriers against chromium volatilization. • Coatings of (Mn,Co)O and (Mn,Co) 3 O 4 oxides were synthetized by R-HiPIMS on AISI 441 stainless steel. • Different (Mn,Co)O structures were made by adjusting polarization and deposition temperature. • The Cr retention capacity of the coating at 800 °C was influenced by the coating structure. • (Mn,Co)O coating showed good results against Cr volatilization for a SOC application.
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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".