Pulsed Laser Deposition of Sm<sub>0.2</sub>Ce<sub>0.8</sub>O<sub>1.9</sub>/Zr<sub>0.9</sub>Sc<sub>0.1</sub>O<sub>2</sub> Bilayer Films for Fuel Cell Application
Bibliographic record
Abstract
Samarium doped ceria exhibits relative high conductivity of 0.1 S/cm at 700 °C and has been considered to be an attractive electrolyte for solid oxide fuel cells operating at the temperature range between 500 to 600 °C. Although the material exhibits better chemical and structural compatibility with electrodes as well as higher ionic conductivity than Yttria-stabilized Zirconia, the reduction of Ce4+ to Ce3+ induces n-type electronic conduction which tends to decrease power output of solid oxide fuel cells. The problem can be eliminated by using a barrier of thin Zr0.9Sc0.1O2 layer deposited over SDC layer as an alternative electrolyte to improve the stability of Samarium doped ceria under reducing atmosphere. In this work, we will report the results on the development of the Pulsed Laser Deposition (PLD) process to fabricate Sm0.2Ce0.8O1.9/Zr0.9Sc0.1O2 bilayer films. Bilayer films with controlled microstructures, density, and interfacial properties were successfully grown by the PLD at various deposition temperatures on Si(100) substartes. X-ray diffraction was used to determine their crystal structures, while the cross section images of the film-film and film-substrate interfaces were examined by field-emission SEM. The film density was calculated from the index of reflection data determined by a fiber-optic spectrophotometer.
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 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) | 0.002 | 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".