Optimally designed synthesis of advanced Pd‐Rh bimetallic three‐way catalyst
Bibliographic record
Abstract
For Pd‐Rh bimetallic three‐way catalysts, appropriate Pd‐Rh interaction is of significant importance to the catalytic activity. In this work, an optimally designed approach was utilized to synthesize Pd‐Rh bimetallic catalyst supported on CeO2‐ZrO2‐Al2O3 (Rh/CZ/Pd/A), which was compared with the conventional catalysts prepared by mechanical mixing method and co‐impregnation technique. In Rh/CZ/Pd/A, Rh species are distributed on the external surface of CZ, while Pd species are distributed in the inner layer. Upon the application of the hydrothermal aging treatment, Pd species undergo migration to the outer sphere of CZ grains. Meanwhile, modified Pd‐Rh interaction and metal‐support interaction are obtained, which are efficient for stabilizing PdO and Rh2O3 at high temperatures, as well as suppressing the deactivation of Rh species by diffusing into the support. Overall, smaller size, better dispersion, along with the higher oxidation state of Pd species and the more reducible oxidation state of Rh species are maintained for Rh/CZ/Pd/A‐a. Consequently, improved three‐way catalytic activity is achieved for Rh/CZ/Pd/A especially after the hydrothermal aging treatment.
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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".