Investigation of the NaNi<sub>x</sub>Mn<sub>1-x</sub>O<sub>2</sub>(0 ≤ x ≤ 1) System for Na-Ion Battery Cathode Materials
Bibliographic record
Abstract
Layered NaNi x Mn 1-x O 2 (0 ≤ x ≤ 1) oxides were prepared via solid state reactions. Different reaction conditions were required to obtain phase pure samples, depending on the value of x. The 0 ≤ x ≤ 0.1 compositions were prepared in an inert argon atmosphere at 700°C and had a monoclinically distorted O ' 3 type structure. The 0.25 ≤ x ≤ 0.33 compositions were prepared in air at 850°C and had a P2-type structure. Compositions in the range of 0.5 ≤ x ≤ 0.66 were synthesized in air at 850°C and had an O3-type structure. Lastly, compositions with 0.9 ≤ x ≤ 1 were prepared in an oxygen atmosphere at 700°C and had a monoclinically distorted O ' 3 type structure. Electrochemical experiments were performed on pure phase samples. All showed reversibility of sodium ions and high capacities. The highest reversible capacity was achieved for x = 0.66, with a capacity of ∼190 mAh/g and an average discharge voltage of 3.07 V, corresponding to a high energy density of 2705 Wh/L. This is among the highest reported volumetric energy densities for Na-ion battery electrodes.
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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".