Comparative Study of Tris(trimethylsilyl) Phosphate and Tris(trimethylsilyl) Phosphite as Electrolyte Additives for Li-Ion Cells
Bibliographic record
Abstract
The effects of tris(trimethlysilyl) phosphate (TTSP) and tris(trimethlysilyl) phosphite electrolyte (TTSPi) additives with and without VC in Li[Ni 1/3 Mn 1/3 Co 1/3 ]/graphite (NMC/graphite) pouch cells were studied using the Ultra High Precision Charger at Dalhousie University and electrochemical impedance spectroscopy. The coulombic efficiency of NMC/graphite cells was improved when TTSPi was added to the electrolyte. TTSP and TTSPi both reduce the cell impedance significantly. The addition of vinylene carbonate (VC) to NMC/graphite cells containing TTSP or TTSPi improves the coulombic efficiency and decreases the charge end point capacity slippage. However, when VC was added the impedance of cells containing either TTSP or TTSPi increased. In the presence of VC, the TTSPi additive decreased the rate of parasitic reactions, reduced the charge end point capacity slippage and also the reduced impedance of NMC/graphite cells compared to cells with TTSP and VC. These results demonstrate that TTSPi is a better additive than TTSP when added to control electrolyte and to electrolyte containing VC for NMC/graphite cells.
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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 | 0.001 | 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".