A novel elevated temperature pre-treatment for electrochemical capacity enhancement of graphene nanoflake-based anodes
Bibliographic record
Abstract
Improvements in the specific capacity of graphene nanoflake-based anodes cycled vs. Li/Li + were investigated at two cycling temperatures of 25 and 50 °C. When cycled at 25 °C, the first cycle specific capacity of the graphene nanoflakes was 636 mA h g −1 , whereas cycling at 50 °C led to a 35% increase in the specific capacity to 856 mA h g −1 . High resolution SEM investigations revealed that the increased capacity of graphene cycled at 50 °C was accompanied by the formation of a uniform and continuous solid electrolyte interface (SEI). The strain generated in graphene anodes was reduced from 0.75% at 25 °C, to 0.12% at 50 °C, as determined by in situ Raman spectroscopy. This was attributed to the reduction in the extent of solvent co-intercalation at 50 °C. The results suggest that pre-cycling of Li-ion cell anodes containing graphene flakes at elevated temperatures would increase their specific capacity at the same charging/discharging current densities as that used for cycling at room temperature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".