Redox Engineering of Fe‐Rich Disordered Rock‐Salt Li‐Ion Cathode Materials
Bibliographic record
Abstract
Abstract The pursuit of high‐performance and cost‐effective Li‐ion batteries emphasizes the need for cathode materials composed of abundant elements, such as Fe. Disordered rock‐salt (DRX) cathode materials, known for their high compositional flexibility, offer a unique opportunity in this regard. However, Fe‐rich DRX (Fe‐DRX) cathodes, potentially the most cost‐effective among all DRXs, have seen limited research interest due to their comparatively restrained performance. This limitation stems from the inaccessibility of the Fe 3+ /Fe 4+ redox in the DRX structure, prompting the need for redox engineering to enable Fe‐DRXs with readily utilizable redox mechanisms. In this work, utilizing both experiments and theoretical study, reversible Fe 2+ /Fe 3+ redox in an Fe 2+ ‐based DRX cathode is demonstrated. This design minimizes the reliance on O redox, resulting in a high capacity (≈290 mAh g −1 ) and energy density (≈700 Wh kg −1 ), as opposed to an Fe 3+ ‐based DRX operating on the limited Fe 3+ /Fe 4+ redox and extensive O redox upon cycling. Overall, the study introduces a novel approach to redox engineering to develop low‐cost, high‐performing Fe‐rich cathode materials.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".