Investigation of MgO Promoted NiO: SDC Anode Material for Intermediate Temperatures Solid Oxide Fuel Cells
Bibliographic record
Abstract
This paper investigated the electrochemical performance of Ni0.9Mg0.1O-SDC for hydrogen and methane fuelled IT-SOFCs using an electrolyte-supported button cells. The Ni0.9Mg0.1O-SDC anode has been chosen based on the premises that the doped-ceria is suitable for intermediate temperatures (550-800°); that Ni is known as an active metal and good electron conductor; that MgO is a promoter to avoid agglomeration of Ni during reduction and to achieve higher Ni dispersion; and finally, that CeO2-Sm2O3 (SDC) improves oxide ion transport to the cell at this intermediate temperature range. Electrochemical performance under humidified hydrogen and methane were carried out at 650, 700 and 750° and tested using polarization curve and electrochemical impedance spectra. Adding MgO to NiO-SDC anode improved the maximum power density and lowered the polarization resistance of the cell.
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) | 0.001 | 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".