Layered T2-, O6-, O2-, and P2-Type A<sub>2/3</sub>[M‘<sup>2+</sup><sub>1/3</sub>M<sup>4+</sup><sub>2/3</sub>]O<sub>2</sub> Bronzes, A = Li, Na; M‘ = Ni, Mg; M = Mn, Ti
Bibliographic record
Abstract
Layered compounds A 2/3 [M‘ 2+ 1/3 M 4+ 2/3 ]O 2 are studied for A = Li, Na, M‘ = Ni, Mg, and M = Mn, Ti. The metastable compounds with A = Li have been uniformly prepared from P2 structure precursors with A = Na by ion exchange. For the cases M‘ = Ni, Mg and M = Mn we find that the cations within a [M‘ 2+ 1/3 M 4+ 2/3 ]O 2 sheet are ordered on a (√3) a by (√3) a superlattice that is preserved during ion exchange. The in-plane ordering is exactly the same as found for the Li and Mn atoms in the layered compound Li[Li 1/3 Mn 2/3 ]O 2, better known as Li 2 MnO 3 . When M = Ti, no evidence for transition metal ordering is observed. Using the results from X-ray and neutron scattering, Li 2/3 [Ni 1/3 Mn 2/3 ]O 2 is shown to adopt a new orthorhombic structure that we call T2. In the notation of Hagenmuller and Delmas, the T2 structure has a two-layer unit cell and tetrahedral sites for lithium. Li 2/3 [Mg 1/3 Mn 2/3 ]O 2 adopts an O6 structure. The focus of the work is the novel T2 structure, and we give crystallographic arguments for the formation of T2 versus O6 based on the detailed stacking of the ordered transition-metal layers.
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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) | 0.002 | 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".