Nanoscale Structure of Oxidized and Reduced Rhodium-Loaded ZrO<sub>2</sub>–CeO<sub>2</sub> Catalysts
Bibliographic record
Abstract
Transmission electron microscopy (TEM) was used to investigate microstructure and chemistry of Rh-loaded ZrO 2 –CeO 2 catalyst exposed to oxidizing and two types of reducing atmospheres. In the oxidized sample Rh was dispersed on the ceria–zirconia support, while metallic Rh was precipitated in both H 2 and CO reduced samples. The size distribution of Rh particles in the H 2 -reduced sample is narrower than in samples reduced in CO. Electron energy-loss spectroscopy (EELS) fine structure indicates that both Ce 4+ and Ce 3+ coexist in the oxidized sample while the reduced sample appears to be predominantly Ce 3+ . We discuss the orientation relations of Rh and the ceria–zirconia support and the formation of superstructure in ceria-zirconia support in the reduced samples. We also briefly discuss the thermodynamics of the Rh particle reduction and on ordering in the yttrium/lanthanum-doped ceria–zirconia.
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".