Comparative Study of Vinyl Ethylene Carbonate (VEC) and Vinylene Carbonate (VC) in LiCoO<sub>2</sub>/Graphite Pouch Cells Using High Precision Coulometry and Electrochemical Impedance Spectroscopy Measurements on Symmetric Cells
Bibliographic record
Abstract
The effects of different concentrations of vinylene carbonate (VC) and vinyl ethylene carbonate (VEC) (0%, 0.5%, 1%, 2%, 4%, and 6% by weight) in LiCoO 2 /graphite pouch cells in 1M LiPF 6 ethylene carbonate (EC) : ethyl methyl carbonate (EMC) (3:7 w:w) electrolyte have been studied using high precision coulometry and electrochemical impedance spectroscopy measurements (EIS) on symmetric cells. High precision coulometry showed that when cells were formed at 40°C, VC improves the cycling behavior by reducing the rate of the parasitic reactions at the positive electrode and improving the coulombic efficiency, whereas VEC does not affect the cycling behavior (compared to control). EIS measurements on symmetric cells showed that while VC affects the positive electrode for all concentrations studied and the negative electrode at concentrations higher than 1%, VEC does not affect the negative electrode for all concentrations studied and affects the positive electrode at concentrations higher than 2%.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".