A High Precision Coulometry Study of the SEI Growth in Li/Graphite Cells
Bibliographic record
Abstract
The charge and discharge endpoint capacities as well as the coulombic efficiency of Li/graphite coin cells have been examined using the high precision charger at Dalhousie University. Cells were charged and discharged at different C-rates and temperatures to observe trends in the formation of the solid electrolyte interphase (SEI) on the graphite electrode. The experiments show that time and temperature, not cycle count, are the dominant contributors to the growth of the SEI. The charge consumed by the SEI and hence the SEI thickness, increase approximately with time 1/2 consistent with a process where the temperature-dependent SEI growth rate is inversely proportional to the SEI thickness. The charge consumed by the SEI is proportional to the electrode surface area and this increased consumption on high surface area electrodes continues during cycling, at least with the 1 M LiPF 6 ethylene carbonate:diethyl carbonate electrolyte used.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".