Synthesis, Characterization, and Thermal Stability of Li[Ni<sub>1/3</sub>Mn<sub>1/3</sub>Co<sub>1/3−<i>z</i></sub>(MnMg)<sub><i>z</i>/2</sub>]O<sub>2</sub>
Bibliographic record
Abstract
LiNi 1/3 Mn 1/3 Co 1/3− z (MnMg) z /2 O 2 (0 ≤ z ≤ 1/3) samples were prepared from hydroxide precursors. The hydroxide precursors were heated with Li 2 CO 3 at 900 °C for 3 h to prepare the oxides. The XRD results show single phase LiNi 1/3 Mn 1/3 Co 1/3− z (MnMg) z /2 O 2 samples can be prepared for 0 ≤ z ≤ 1/3. Rietveld refinements of XRD data show that when Mn and Mg substitute for Co in NMC there is an increase in the amount of transition metal in the Li layer. Electrochemical studies of the LiNi 1/3 Mn 1/3 Co 1/3− z (MnMg) z /2 O 2 (0≤ z ≤ 1/3) samples were used to measure the rate of capacity reduction with z, found to be about −250 (mAh/g)/( z = 1) charging to 4.3 V and −150 (mA h/g)/( z = 1) charging to 4.6 V. The impact of Mn and Mg cosubstitution on the thermal stability of charged LiNi 1/3 Mn 1/3 Co 1/3− z (MnMg) z /2 O 2 (0 ≤ z ≤ 1/3) samples in electrolyte was studied using accelerating rate calorimetry. The thermal stability of LiNi 1/3 Mn 1/3 Co 1/3− z (MnMg) z /2 O 2 is independent of z for the samples studied.
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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".