Synthesis of Grain‐like MoS<sub>2</sub> for High‐Performance Sodium‐Ion Batteries
Bibliographic record
Abstract
Abstract MoS2 is a promising anode material for sodium‐ion batteries (SIBs) due to its attractive theoretical capacity and low cost. MoS2 generally presents a sheet‐like structure based on its (002) lattice plane; however, such a structure tends to result in agglomeration and stacking of the sheets that cannot accommodate volume expansion, resulting in poor cyclability. Herein, grain‐like MoS2 particulates (G‐MoS2) are synthesized by sulfiding MoO3 in highly concentrated sulfur vapor, which results in epitaxial growth of MoS2 in (002), (100), and (110) lattice planes, with the product consisting of MoS2 particulates of about 300 nm coated with few‐layered MoS2 nanosheets. The unique G‐MoS2 architecture ensures good dispersion and sufficient distance to accommodate volume expansion during sodiation/desodiation, which effectively prevents stacking of MoS2, maintaining structural stability. When employed as the working electrode for SIB, G‐MoS2 delivers a high reversible capacity of 324 mAh g−1 at 0.5 A g−1, retaining 312 mAh g−1 over 300 cycles with an average coulombic efficiency of 99.8 %. Even when G‐MoS2 is cycled at a high current density (2.0 A g−1), the retained capacity is 175 mAh g−1 after 400 cycles. Comparison with literature reveals that these capacities are among the more promising reversible values reported for pure MoS2.
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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 | 0.000 | 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".