Characteristics of gadolinia-doped ceria films deposited by spray pyrolysis
Bibliographic record
Abstract
Nowadays the challenges on SOFC are to find a way to produce good quality electrolyte, which does not need sintering at high temperature. This work presents the results of a process optimization applied to gadolinia-doped ceria thin films deposited by spray pyrolysis (SP). The aim of this work was to achieve thin, dense, and continuous CGO coatings, which may serve as electrolyte for SOFC. Dense substrates were used as substrates for the deposition. Cerium ammonium nitrate and gadolinium acetylacetonate were used as precursors' salts. Parameters such as gas flow, liquid flow and temperature were studied. Controlling these parameters, thin, dense, crack-free films could be produced on dense and porous substrates. X-ray diffraction (XRD) analysis showed that the films were crystalline after the deposition without requiring post-deposition heat treatment. Van der Pauw technique showed that the produced films have good conductivity, suitable for use as intermediate temperature solid oxide fuel cell electrolytes.
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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".