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 O 2 conversion can reach as high as ∼60 to ∼90 %, can greatly simplify the process of recycling Cl 2 using gas‐phase catalysis technology. The O 2 consumption rate in lean‐oxygen HCl oxidation over a supported CuO‐CeO 2 composite oxide catalyst was studied using an integral tube reactor. After eliminating the diffusion effects, three empirical kinetic models were proposed, which assumed O 2 adsorption, surface reaction, and Cl 2 desorption as the rate‐controlling steps, respectively. Based on O 2 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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".