Self-Assembling Solid Oxide Fuel Cell Materials: Mesoporous Yttria-Zirconia and Metal-Yttria-Zirconia Solid Solutions
Bibliographic record
Abstract
A new class of mesoporous (nickel/platinum)-yttria-zirconia materials, denoted meso -(Ni/Pt)YZ, which may have utility as electrode material in solid oxide fuel cells (SOFCs), have been synthesized by aqueous co-assembly of glycometalates and metal complexes with a surfactant template. These materials form as solid solutions with compositions that can be tuned over the range 12−56 atom % yttrium and 10−30 atom % nickel or 1−10 wt % platinum. The microstructure of the channel wall is nanocrystalline yttria-zirconia (YZ) and nickel/platinum is incorporated as metal oxide/metal clusters with diameters comparable to the size of the pores depending on the degree of loading of the metal precursor. Calcination in air of as-synthesized meso -(Ni/Pt)YZ materials causes the channel walls to crystallize and thicken as the imbibed organics are lost. It is the relatively thick, YZ nanocrystalline walls which are believed to be responsible for the impressive 800 °C thermal stability of meso -(Ni/Pt)YZ. This new class of binary and ternary mesoporous materials display the highest recorded surface area of any known form of (metal)-yttria-stabilized-zirconia. A narrow mesopore size distribution, nanocrystalline channel walls, and high thermal stability may lead to significant improvements in fuel/oxidant mass transport, oxide ion mobility, electronic conductivity, and charge transfer at the triple-phase-boundary region of SOFC electrodes. It may also enable a reduction in the operating temperature of the SOFC.
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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".