LiMn<sub>2</sub>O<sub>4</sub>CATHODE MATERIAL FOR LITHIUM ION BATTERIES
Bibliographic record
Abstract
A solution based method was used for the synthesis of lithium manganese oxide using polyvinyl alcohol (PVA) as a chelating agent. It was found from thermogravimetric analysis/differential scanning calorimetry (TGA/DSC) analysis that at about 220 °C, the synthesis reaction was completed. The precursor powders obtained were annealed between 250 and 600 °C from 2 to 8 hours to obtain pure spinel oxides. The morphology of the synthesized materials consisted of submicron sized particles agglomerated inside a network structure. At the discharge rate of 1 C, the highest discharge capacity obtained was 118 mAh/g; this was achieved with material annealed at 600 °C for 8 hours.On a utilisé une méthode à base de solution pour la synthèse de l’oxyde de manganèselithium en utilisant de l’alcool polyvinylique (PVA) comme agent complexant. À partir de l’analyse thermogravimétrique et de l’analyse calorimétrique à balayage différentiel (TGA/DSC), on a trouvé que la réaction de synthèse était complétée à environ 220 °C. Les poudres précurseurs obtenues ont été recuites entre 250 et 600 °C, de 2 à 8 heures, pour obtenir des oxydes de spinelle purs. La morphologie des matériaux synthétisés consistait en particules de taille submicronique agglomérées à l’intérieur d’une structure réticulaire. À l’intensité de décharge de 1 C, l’intensité la plus élevée obtenue pour le courant de décharge était de 118 mAh/g; on a obtenu cela avec le matériau recuit à 600 °C pendant 8 heures.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".