Recent Progress on High‐Performance Cathode Materials for Zinc‐Ion Batteries
Bibliographic record
Abstract
Rechargeable zinc‐ion batteries (ZIBs) have emerged as a contender in the area of electrochemical energy storage applications due to their low cost and inherent safety. To optimize the battery performances, ZIBs cathode materials with high capacity and cyclability have been intensively studied, with most attention focused on traditional manganese‐ and vanadium‐based materials. Recently, other novel cathode materials including Prussian blue analogues (PBAs), polyanions, metal sulfides, and organic compounds have begun to gain recognition as promising alternatives. These materials exhibit distinct strength such as high operating voltage, additional capacity by new redox chemistry activation, and/or highly reversible cycling process that are particularly desirable for ZIBs applications. To provide the highlight they deserve, this review focuses on introducing the recent progresses of these ZIBs cathodes and demonstrating common strategies adopted for material modification and optimization. Finally, systematic comparisons among the cathode materials are analyzed, along with challenges and perspectives on each category of the cathodes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".