<sup>8</sup>Li<i>β</i>-NMR study of epitaxial Li<sub><i>x</i></sub>CoO<sub>2</sub>films
Bibliographic record
Abstract
In order to investigate the diffusive motion of Li + in a thin film electrode material for Li-ion batteries, we have measured β -NMR spectra of 8 Li + ions implanted into epitaxial films of Li 0.7 CoO 2 and LiCoO 2 in the temperature range between 10 and 310 K. Below 100 K, the spin-lattice relaxation rate (1/ T 1 ) in the Li 0.7 CoO 2 film increased with decreasing temperature, indicating the appearance and evolution of localized magnetic moments, as observed with μ + SR. As temperature is increased from 100 K, 1/ T 1 starts to increase above ~ 200 K, where both Li- NMR and μ + SR also sensed an increase in 1/ T 1 due to Li-diffusion. Interestingly, such diffusive behavior was found to depend on the implantation energy, possibly because the surface of the film is decomposed due to chemical instability of the Li 0.7 CoO 2 phase in air. Such diffusive behavior was not observed for the LiCoO 2 film up to 310 K.
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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".