Li Insertion in Ball Milled Si-Mn Alloys
Bibliographic record
Abstract
Si 1- x Mn x (0 ≤ x ≤ 0.5, Δ x = 0.05) alloys were prepared by ball milling and studied as negative electrode materials in Li cells. These alloys were found to be unique among transition metals. When x ≤ 0.35, the alloys are essentially homogeneous with nanocrystallites of Si 19 Mn 11 uniformly dispersed in a matrix of amorphous silicon. Nanocrystallites of SiMn and Si 19 Mn 11 coexist in samples with x > 0.35. The formation of Li 15 Si 4 during lithiation was totally suppressed for alloys with x ≥ 0.3. Cycling performance was significantly improved by Mn addition, especially for the samples in which the formation of Li 15 Si 4 was suppressed. The addition of Mn increases the particle size, which results in reduced surface area. Capacity trends suggest that inactive Si 19 Mn 11 and SiMn phases were formed in these alloys, consistent with XRD results. The x = 0.25 alloy achieved a volumetric capacity of 1526 Ah/L with 95% capacity retention after 50 cycles.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".