Impact of the Cu Current Collector Grade and Ink Solid Fraction on the Electrochemical Performance of Silicon‐Based Electrodes for Li‐Ion Batteries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The influence of the Cu current collector grade (cold‐rolled, annealed, or textured) and the ink solid fraction (SF) on the performance of Si‐based electrodes for Li‐ion batteries is investigated. Two binders are considered for this study: one of carboxymethyl cellulose and citric acid and the other which consists of the same organic components with added Zn(II) cations. These ones cross‐link the carboxylate moieties through coordination bonds. The fracture behavior and cyclability of the Zn‐free electrodes show a strong dependence on the Cu current collector grade. For this formulation, which has lower cohesion, the increase in electrode adhesion from the roughening of the surface of the current collector and/or the decrease of the current collector yield strength contribute to mitigate the electrode mechanical damage, therefore improving its cyclability. Such a dependence is not observed for the Zn cross‐linked electrodes which have a higher cohesion. Regarding the impact of the ink solid fraction, when a higher SF is used, the capacity retention and coulombic efficiency are enhanced for both formulations, though much more significantly for the Zn‐free formulation. The underlying mechanism causing this improvement may be partially related to the enhanced adsorption of binder on silicon particles with increasing SF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it