A Comparison among Viscosity, Density, Conductivity, and Electrochemical Windows of <i>N</i>-<i>n</i>-Butyl-<i>N</i>-methylpyrrolidinium and Triethyl-<i>n</i>-pentylphosphonium Bis(fluorosulfonyl imide) Ionic Liquids and Their Analogues Containing Bis(trifluoromethylsulfonyl) Imide Anion
Bibliographic record
Abstract
Ionic liquid consists of an organic cation and generally an inorganic anion. The properties of liquids can be modulated by changing the anion or the cation or both. Two ionic liquids derived from the anion [FSI] were synthesized and characterized: ( N - n -butyl- N -methylpyrrolidinium bis(fluorosulfonyl imide), [BMPYR][FSI]) and triethyl- n -pentylphosphonium bis(fluorosulfonyl)imide), [P 2225 ][FSI]). We also report the comparison with [TFSI] based ionic liquids, namely: ( N - n -butyl- N -methylpyrrolidinium bis(trifluoromethylsulfonyl)imide), [BMPYR][TFSI]), ( N - n -butyl- N -methylpiperidinium bis(trifluoromethylsulfonyl)imide), [BMP][TFSI]), triethyl- n -pentylphosphonium bis(trifluoromethylsulfonyl)imide), [P 2225 ][TFSI]) and (triethyl(2-methoxyethyl) phosphonium bis(trifluoromethylsulfonyl imide), [P 222201 ][TFSI]. Thermophysical properties, such as viscosity (298.15–373.15 K), density (298.15–373.15 K), conductivity (298.15–361.15 K), electrochemical (cutoff density current within 150 μA·cm –2 ), and thermal stability (303.15–973.15 K) were experimentally determined. The results showed that [FSI] derivatives exhibit better transport properties and lower thermal and electrochemical stability when compared with their [TFSI] counterparts.
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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) | 0.001 | 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".