Carbon-supported copper–organic framework as active catalysts for acetylene hydrochlorination
Bibliographic record
Abstract
In this work, activated carbon supported Cu-MOF was used as an acetylene hydrochlorination catalyst to manufacture vinyl chloride. Cu-MOF/AC with 15 wt. % Cu-MOF content has the initial acetylene conversion of 99.2% and vinyl chloride selectivity of 98.5% at 200 °C. By combining steady-state experiments and physical–chemical characterization results (XPS, BET, H2-TPR, C2H2-TPD, XRD, and HCl adsorption experiments), Cu–O–C is shown to slow the reduction of Cu2+, improve the reactants adsorption, and strengthen the anti-coking ability of Cu-based catalysts. According to the previous studies and the Eley–Rideal mechanism, it is proposed that Cu2+ first adsorbed C2H2 to generate transition states in acetylene hydrochlorination catalysis.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".