Investigation of the Irreversible Capacity Loss in the Lithium-Rich Oxide Li[Li<sub>1/5</sub>Ni<sub>1/5</sub>Mn<sub>3/5</sub>]O<sub>2</sub>
Bibliographic record
Abstract
The lithium-rich transition metal oxides show a larger first charge capacity and larger cycling capacities than the non-lithium-rich transition metal oxides. The disadvantages of the lithium-rich transition metal oxides include relatively poor rate capabilities and relatively large irreversible capacities. In this report, the irreversible capacity loss of the lithium rich oxide Li[Li1/5Ni1/5Mn3/5]O2 was investigated. Stepwise traverse of the oxygen-release plateau increased the cycling capacity of Li/Li[Li1/5Ni1/5Mn3/5]O2 cells and gave evidence that lithium was removed from the transition metal layer at the start of the oxygen release plateau. The irreversible capacity loss was attributed to the diffusion of transition metals into the lithium vacancies in the transition metal layer and the subsequent inability for lithium reinsertion into the transition metal layer. Isothermal calorimetry of Li/Li[Li1/5Ni1/5Mn3/5]O2 cells cycled from 2.5 to 4.4 V (no oxygen loss) supported the view that lithium is not deintercalated from the transition metal layer at the start of charge.
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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 | 0.001 |
| 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".