Preparation and catalytic property of composite ionic liquid immobilized on SBA-15
Bibliographic record
Abstract
In this work, we report a more simple and efficient way to synthesize a composite ionic liquid (IL) ([BMIM][Zn2Br5]) by directly coupling the IL with molecular sieves. Two kinds of immobilized catalysts were successfully synthesized: SBA-15-[BMIM][Zn2Br5] and SBA-15-CPTES-[BMIM][Zn2Br5]. The catalysts were used to catalyze the cycloaddition reaction of continuous transformation of CO2 and propylene oxide, and the catalytic performance of catalysts was further studied. Compared with the traditional IL catalysts, the catalysts not only have excellent catalytic performance, but also have a significantly longer service life. This is because the catalysts are formed by a high energy chemical bond of silane between IL catalysts and molecular sieves, which can effectively solve the problem of the loss of IL active components in the catalytic 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 | 0.000 |
| 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".