Bibliographic record
Abstract
High-Ni layered oxides experience significant capacity decay over cycling, but the underlying mechanisms remain controversial. Using atomistic simulations, the electrochemical behavior of the fatigue phase is reproduced: a surface densified phase traps the last 25% of Li the end of charge, while discharge remains unimpeded. When the Li content falls to 25%, the remaining Li are locked into a superlattice, making the creation of vacancies the rate-limiting step for further delithiation. After cycling, the surface densified phase resembles Ni5O8 , with 25% Ni in the Li layer forming a similar superlattice. These Ni pin nearby Li, suppressing vacancy formation at the surface and kinetically trapping Li inside. Meanwhile, the Ni5O8 phase exhibits high diffusivity for Li interstitials in the superlattice, which explains the minimal resistance increase during discharge at the same Li content. Further densification leads to a surface phase that hinders both charge and discharge across the entire voltage range.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".