On the Suitability of La0.60Sr0.40Co0.20Fe0.80O3 Cathode for the Intermediate Temperature Solid Oxide Fuel Cell (ITSOFC)
Bibliographic record
Abstract
Solid oxide fuel cell can convert fuels rich in H-2 into electrical energy directly without pollution by electrochemical reaction with oxygen. The efficiency of energy conversion and durability of performance mainly depend on the electrocatalytic activity of the cathode and its thermo-chemical compatibility with the oxide ion conducting solid electrolyte. The global experience gained all these years in the SOFC development has prompted for a change from the state of the art functional cathode material, La1-xSrMnO3 (LSM) to a new material which is an electrocatalyst for the oxygen reduction reaction in the intermediate temperature range (873-1073 K). In this work, La(0.60)Sr(0.40)Co(0.2)fe(0.80)O(3), (LSCF), a mixed conducting stable perovskite oxide prepared by glycine nitrate combustion route is systematically characterised. Both circular and rectangular pellets were fabricated by uniaxial compression followed by annealing at different temperatures. The functional properties such as porosity, percentage thermal shrinkage in volume and percentage densification of the sintered pellets are compiled. It is found that La0.60Sr0.40Co0.20Fe0.80O3 exhibited high electrical conductivity (350 Scm(-1)) at ITSOFC operating temperature (1073 K). The thermo-chemical compatibility of this cathode material with alternate oxide ion conducting solid electrolytes namely, La0.9Sr0.1Ga0.8Mg0.2O3, Ce0.90Gd0.10O2, and Ce0.80Sm0.20O2 ( LSGM, CDC and SDC respectively) is also brought out. A brief discussion is made on its suitability for application as electrocatalytic cathode under ITSOFC operating conditions.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".