Oxygen consumption rate model in HCl oxidation over a supported CuO‐CeO<sub>2</sub> composite oxide catalyst under lean oxygen condition
Bibliographic record
Abstract
Abstract Lean‐oxygen oxidation of HCl, in which O2 conversion can reach as high as ∼60 to ∼90 %, can greatly simplify the process of recycling Cl2 using gas‐phase catalysis technology. The O2 consumption rate in lean‐oxygen HCl oxidation over a supported CuO‐CeO2 composite oxide catalyst was studied using an integral tube reactor. After eliminating the diffusion effects, three empirical kinetic models were proposed, which assumed O2 adsorption, surface reaction, and Cl2 desorption as the rate‐controlling steps, respectively. Based on O2 adsorption as the rate‐controlling step, the results indicate that the kinetic Model I best describes the coincidence between the predicted results and the experimental data. The results laid an essential foundation for reactor simulation, scale‐up, and optimization of the industrial process.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".