Unraveling the cooperative effects of acid sites and kinetics for pyrolysis of <scp>CHF<sub>3</sub></scp> to <scp>C<sub>2</sub>F<sub>4</sub></scp> and <scp>C<sub>3</sub>F<sub>6</sub></scp> on <scp>SO<sub>4</sub><sup>2</sup></scp><sup>−</sup>/<scp>ZrO<sub>2</sub>‐SiO<sub>2</sub></scp>
Bibliographic record
Abstract
Abstract The treatment or upgrading of waste trifluoromethane (CHF3, R23), which has a significant greenhouse effect, is of great importance in industry. Herein, series of SO42−/ZrO2‐SiO2 catalysts with different Brønsted and Lewis acid site densities and ratios were prepared for pyrolysis of R23 to tetrafluoroethylene (C2F4, TFE) and hexafluoropropylene (C3F6, HFP). The effects of impregnation concentration of (NH4)2SO4 on specific surface area, crystal phase, and Brønsted and Lewis acid site densities and ratios were respectively demonstrated. The Brønsted and Lewis acid sites were observed to have cooperative effects on R23 transformation and up to 94.6% selectivity of (TFE + HFP) could be achieved at 750°C. The kinetic studies revealed the decomposition of R23 into CF2 carbene and HF was the rate‐determining step, and a deactivation behavior was found due to the site coverage and pore blockage by the oligomers of TFE and HFP.
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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".