Nanostructured polycrystalline Ni<sub>3</sub>S<sub>2</sub> as electrode material for lithium ion batteries
Bibliographic record
Abstract
Abstract We report the facile synthesis of nanostructured polycrystalline nickel sulphide (NP-Ni3S2) on Ni foil at 750 and 800 °C by employing powder vapor transport technique. X-ray diffraction patterns (XRD) confirms the formation of polycrystalline Ni3S2 phase with rhombohedral structure. Raman spectroscopy and x-ray photo-electron spectroscopy (XPS) further confirms the formation of Ni3S2 phase. Scanning electron microscopy (SEM) reveals the formation of flower shaped nanostructures of NP-Ni3S2 material. As an electrode material of Li+ batteries, the initial discharge capacities for NP-Ni3S2 materials deposited at 750 and 800 °C are found to be ∼2649 mAh g−1 and ∼1347 mAh g−1, respectively with initial capacity loss of ∼1067 mAh g−1 and ∼363 mAh g−1 after first cycle and capacities of ∼931 mAh g−1 and ∼818 mAh g−1 after 30 cycles for a current density of 60 mA g−1. An excellent capacity retention for NP-Ni3S2 material synthesized at 800 °C is due to its larger surface area and shorter diffusion length for mass and charge transport brought about by the flower-like porous nanostructures showing that the NP-Ni3S2 material synthesized at higher temperatures is more suitable as electrode material for Li+ batteries.
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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 | 0.001 |
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".