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 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 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".