Effect of ionic liquid on <scp> CH <sub>4</sub> </scp> hydrate formation thermodynamics
Bibliographic record
Abstract
Abstract In this work, experiment results of CH 4 hydrate formation pressure in four imidazole ionic liquid solutions have been determined. Hydrogen bond interaction between ionic liquids and water molecules has been simulated by conductor like screening model for real solvents model (COSMO‐RS). Hydrogen bond energy has been calculated. Variation of hydrogen bond energy between ionic liquid and water molecules was obtained by COSMO‐RS simulation. The inhibition effect of four ionic liquids on water activity was listed from strong to weak in order: [BMIm]Br > [BMIm]BF 4 > [BMIm]PF 6 > [OMIm]BF 4 . Compared with experimental results of CH 4 hydrate formation pressure in ionic liquid aqueous solution, hydrogen bond interaction between ionic liquid and water molecules obtained by COSMO‐RS is basically consistent with experimental results of hydrate formation pressure in ionic liquid. The study could provide better theoretical basis for ionic liquid selection on gas hydrate study. The simulation would be better as one method to chose admirable ionic liquid in the area of hydrate additives usage.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".