Synthesis and Characterization of Nanosized (DyO<sub>1.5</sub>)<sub>x</sub>(WO<sub>3</sub>)<sub>y</sub>(BiO<sub>1.5</sub>)<sub>1-x-y</sub> for Lower Temperature SOFC Application
Bibliographic record
Abstract
The high ionic conductivity (DyO1.5)x(WO3)y(BiO1.5)1-x-y (DWSB) material was synthesized using a coprecipitation method. Adding the acid solution containing Dy(NO3)3 and Bi(NO3)3 to the basic solution containing (NH4)10W12O41•5H2O, a DWSB precursor was formed. Upon calcination, nano-sized (DyO1.5)x(WO3)y(BiO1.5)1-x-y powder with the appropriate fluorite phase is generated. This nanopowder was incorporated into a composite cathode with La0.80Sr0.20MnO3-δ (LSM) using the glycine-nitrate process to coat the DWSB with the LSM. The two phases are mixed at the nano-scale and no reactivity between the two phases is observed. The ASR values for this cathode (0.17 Ω-cm2 at 600⁰C) is reduced by a half order of magnitude compared with the same composition mixed with solid state methods (0.45 Ω-cm2 at 600⁰C). Furthermore, the ASR values are significantly reduced from composite cathodes of LSM and common ionic conductors, namely LSM-GDC (1.3 Ω-cm2 at 600⁰C) and LSM-YSZ (1.5 Ω-cm2 at 600⁰C).
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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".