Effect of Milling on the Electrochemical Properties of Nanostructured Li(Fe0.8Mn0.2)PO4 as Cathodes for Li-ion Batteries
Bibliographic record
Abstract
Phospho-olivine Li(Fe0.8Mn0.2)PO4 was synthesized using high-temperature solid state procedure. Ball milling was used to decrease the particle size of the active material. X-ray diffraction (XRD) confirmed formation of the phospho-olivines. The crystallite size of the ball-milled particles was calculated about 64.9 nm. Scanning electron microscopy (SEM) also showed polygonal particles of the ball-milled Li(Fe0.8Mn0.2)PO4 and homogeneous distribution of the iron and manganese. Electrochemical evaluation of the ball-milled Li(Fe0.8Mn0.2)PO4 demonstrated faster kinetic reaction with respect to the as-synthesized Li(Fe0.8Mn0.2)PO4. The ball milling process led to highest capacity between the samples (150 mAh g-1 at 0.1 mA cm-2); however, annealing the ball-milled samples showed the best cyclic performance (3% fading after 50 cycles). Ball milling process caused nanostructured Li(Fe0.8Mn0.2)PO4 with lower diffusion length, higher electrical conductivity and higher capacity.
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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 | 0.001 |
| 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".