Structural Evolution and Formation Mechanism of LiNiO2 During High-Temperature Solid-State Synthesis
Bibliographic record
Abstract
The processes and mechanisms of LiNiO2 synthesis during the high-temperature solid state method, using Ni(OH)2 precursor and different lithium salts (Li2CO3 and LiOH), were revealed by the thermal (TG–DTA) and structural (X-ray diffraction (XRD)) analyses. Morphology characterization (scanning electron microscopy (SEM)) and the soluble lithium titration are carried out to support the findings. The results show that the synthetic processes of LiNiO2 generally include raw materials' dehydration, oxidation, and combination; also, the existence of lithium salts makes the oxidation of Ni(OH)2 relatively easier. Comparing the two lithium salts involved in the reactions, LiOH will bring about a transition oxide (Ni8O10) and lower the initial reaction temperature for LiNiO2 generation. In addition, a decent temperature under 800 °C, a preheat treatment in 500–600 °C, and a properly longer heating time are suggested to be significant for obtaining the ideal LiNiO2 materials.
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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".