Application of Electrochemical Deposition in Solid Oxide Fuel Cell Technology
Bibliographic record
Abstract
This review paper describes the principle of electrochemical deposition and introduces recent studies applying it to the electrode fabrication of a solid oxide fuel cell (SOFC), a next-generation energy conversion device. Electrochemical deposition can easily control the structure and morphology of the deposition layer according to the applied bias/time/temperature, etc., and the process is very simple and possible even at low temperatures. In addition, deposition of cerium-based oxides, which are the representative ion-conductors or mixed-conductors widely used for SOFCs, is also possible <i>via</i> electrochemical deposition. To elucidate the effectiveness/novelty of electrochemical deposition, we present examples of the application of electrochemical deposition in SOFCs. Moreover, examples of using this method to study the properties of a material and/or to fabricate perovskite oxide-based electrodes are included.
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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 | 0.000 | 0.000 |
| 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".