Effects of zirconia coating on improvement of sodium-ion migration in NaNi1/3Fe1/3Mn1/3O2 cathodes for sodium-ion batteries
Bibliographic record
Abstract
To investigate the mechanism by which ZrO 2 modification affects the electrochemical performance of the NaNi 1/3 Fe 1/3 Mn 1/3 O 2 (NFM) cathode material for sodium-ion batteries, ZrO 2 -coated NFM (ZrO 2 @NFM) was prepared via high-temperature calcination. XRD refinement results revealed that ZrO 2 modification increased the Na-layer spacing in the NFM material. XPS analysis results demonstrated that ZrO 2 modification adjusted the Mn 3+ /Mn 4+ ratio in NFM by reducing the Mn 3+ content. Electrochemical test results revealed that, compared to NFM, ZrO 2 @NFM exhibited superior rate capability and cycling stability. It also exhibited significantly enhanced Na + diffusion coefficients and reduced interfacial charge transfer resistance. The ZrO 2 coating increased Na-layer spacing, reduced electrochemical polarization, and inhibited side reactions. In summary, the synergistic effect of component regulation and surface engineering through ZrO 2 coating improved Na + diffusion kinetics and enhanced cycling stability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".