Highly ordered Li(Ni0.6Ti0.2Co0.2)O2 (NTC622) cathode material made by all-dry synthesis
Bibliographic record
Abstract
Phase pure and highly ordered Li(Ni 0.6 Ti 0.2 Co 0.2 )O 2 (NTC622) with the O3 structure was synthesized using an all-dry method from metal oxide precursors. To our knowledge, this is the first report of highly ordered NTC622. A major impediment for NTC622 synthesis was found to be the slow diffusion of Ti during sintering. This was overcome by utilizing high-energy ball milling to maximized homogeneous transition metal distribution. In addition, a pure oxygen atmosphere during the sintering step was found to minimize LiTiO 2 formation. The synthesized NTC622 exhibited a reversible capacity of 120 mAh/g, low voltage polarization, and a discharge capacity retention of 93.7 % after 100 cycles. Additionally, the NTC622 demonstrated comparable high-rate performance to NMC622. This demonstrates that layered oxides with high Ti-content are attractive cathode materials. Additionally, this study shows that all-dry methods are an effective means for composition exploration in layered oxide materials. • Layered single-crystal Li(Ni0.6Ti0.2Co0.2)O2 (NTC622) cathode material reported. • Layered NTC622 has high capacity and high rate capability. • High rate capability in NTC622 facilitated by Ti-pillars. • All-dry synthesis is sustainable and facilitates new cathode compositions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".