RF Plasma Deposition of Half-Cell (Anode – Electrolyte) Assembly of Medium Temperature Planar Solid Oxide Fuel Cell
Bibliographic record
Abstract
Abstract The system studied in this work is based on a Gadolinia-doped Ceria (GDC) matrix and a Nickel oxide cermet as the anode material where both layers are RF plasma deposited. The challenge lies in the optimization of the anode deposition parameters to obtain a controlled porosity thick layer and to process the electrolyte material in such a way as to completely eliminate both open and closed porosity in the relatively thin deposit. The starting materials were nitrate based solutions, prepared so as to obtain final anode spray deposits of NiO-GDC (35%Wt) with the aimed for electrolyte composition of Gd0.2Ce0.8O1.90. In order to optimize these anode deposits, the plasma power, the “stand off” distance, the concentration of the salts solution, as well as substrate cooling, were studied. Similar parameters were also studied for the electrolyte deposition process but, in order to assure attaining high deposit density, the supersonic RF torch nozzle was used for the spray processing. The interactions between all of these parameters and their influence on the deposition process, for both the anode and the electrolyte layers, is examined and discussed.
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 | 0.000 | 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 | 0.001 | 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 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".