Dimethyl Sulfite as a Possible Alternative Electrolyte Solvent for Na-Ion Batteries
Bibliographic record
Abstract
Dimethyl sulfite (DMS) is evaluated as an electrolyte single solvent and co-solvent for Na-ion cells. The major motivation for this work was to see if the safety of Na-ion cells with oxide positive electrodes could be improved by switching away from electrolytes based on traditional carbonate solvents. Different additives were tested in the DMS single solvent system in Na-ion pouch cells, with prop-1-ene-1,3-sultone (PES) and methylene methane disulfonate (MMDS) enabling a capacity retention higher than 94% and 91%, respectively, after 900 cycles at 40 °C. When DMS is used as a co-solvent in Na-ion pouch cells, capacity retention can match that of cells with standard carbonate solvents. However, ultra-high precision charger experiments show that cells with DMS have more charge endpoint capacity slippage indicating an additional degradation process. The degradation mechanism present in DMS cells was explored using pouch bag studies and gas analysis. Accelerating rate calorimtery experiments showed exothermic reactions onset at lower temperatures and were more severe as the fraction of DMS in the electrolyte was increased. Therefore, although Na-ion cells with DMS can perform similarly to those with only carbonate solvents, there is neither a performance nor a safety advantage.
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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 | 0.001 | 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".