Evaluation of the Corrosion Resistance of Fe<sub>40</sub>Al<sub>60</sub> Intermetallics in Molten Carbonate (Li+K)
Bibliographic record
Abstract
Alloys of the intermetallic material based on Fe40Al60 and the alloys formed with addition of Ag constitute a new alternative to improve the problems of corrosion resistance and electrical conductivity. The electrochemical characterization was employed to evaluate the corrosion resistance of the materials for being used as bipolar plates in molten carbonate fuel cells (MCFC). These characterizations were done under similar conditions as the working environment of the molten carbonate fuel cell (MCFC). The working environment of the standard molten carbonate fuel cell was simulated by the use of molten salts of 62 mol.% Li2CO3 and 38 mol.% K2CO3 at the temperature of 650 ºC. Alloys included Fe40Al60 with additions of 1, 3 and 5 weight % of Ag. The results obtained indicate that this material is promising for its use as bipolar plates in MCFC.
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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".