Non-Flammable Electrolyte Mixtures of Ringed Ammonium-Based Ionic Liquids and Ethylene Carbonate for High Voltage Li-Ion Batteries
Bibliographic record
Abstract
Three ionic liquids based on ringed ammonium cations with different ring sizes [seven: azepanium; six: piperidinium; five: pyrrolidinium] and imide anion mixed with ethylene carbonate, EC, have been evaluated as electrolytes in high voltage lithium-ion batteries. It is found that mixing the ionic liquids with ethylene carbonate gives electrolyte mixtures with lower viscosities, increased conductivities and improved electrochemical cathodic stability than the neat ionic liquids. The flammability and thermal stability of the electrolytes have been studied by open-cup flash point measurements and thermogravimetric analysis combined with Infrared and Mass Spectroscopy. It is found that the neat ionic liquids have good thermal stability above 300°C and no flammability compared to carbonate-based electrolyte but upon mixing with EC the mixture decomposes at temperature below 130°C but stays non-flammable. The electrolyte mixtures have been evaluated in Li/LiMn 1.5 Ni 0.5 O 4 (LMNO) and graphite/Li half cells and in the presence of fluoroethylene carbonate additive. Discharge capacities reaching 112–117 mAh.g −1 and 280–293 mAh.g −1 with coulombic efficiencies of 95% and 99% were obtained for graphite and LMNO, respectively, over 100 cycles at C/12.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".