ZnO Interface Modified LiNi<sub>0.6</sub>Co<sub>0.2</sub>Mn<sub>0.2</sub>O<sub>2</sub> Toward Boosting Lithium Storage
Bibliographic record
Abstract
In this work, an amorphous ZnO was coated on LiNi0.6Co0.2Mn0.2O2 (NCM) using a sol‐gel strategy method. The NCM coated with 1 wt.% ZnO and a thickness of about 3 nm exhibits an improved cycling performance, accompanied by a lower capacity fading (from 194.8 to 133.8 mAh g−1, i.e., 68%) than that of the pristine one (i.e., only 34%) after 300 cycles at 0.2 C. The cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) indicate that the ZnO coating can improve extraction/insertion of Li+ and inhibit the increase in impedance of the NCM cathode material. This approach may benefit the performance improvement of the Ni‐rich cathode materials in Lithium‐ion batteries (LIBs).
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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".