Effects of Electrolyte Composition and Voltage Scan Rate on Cyclic Performance of Silicon-Aluminum Anodes for Lithium-Ion Cells
Bibliographic record
Abstract
Si-Al composite anodes, where micron-sized Si particles are embedded in a ductile Al matrix, were electrochemically cycled in ethylene carbonate (EC)- and propylene carbonate (PC)-based electrolytes vs. Li/Li + . When cycled in PC-based electrolytes, cracks were not formed in Si at a low voltage scan rate of 0.50 mVs -1 . However, cracks formed in Si when lithiated in EC-based electrolytes and these cracks were arrested by the surrounding Al-matrix and subsequently closed during de-lithiation. Lithiation at a high scan rate of 5.00 mVs -1 increased the crack formation probability but in PC-based electrolytes, only a few cracks were formed and were closed during de-lithiation. The results suggest that composite Si-Al anodes, which do not pulverize like monolithic Si, could provide durable electrodes for Li-ion batteries—especially if they contain small Si particles (< 10 µm) and cycled in a PC-based electrolyte.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".