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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.011 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".