Failure Mechanisms and Strategies for Vanadium Oxide‐Based Cathode in Aqueous Zinc Batteries
Bibliographic record
Abstract
Abstract With the increasing safety concerns and consensus on sustainability, aqueous zinc‐ion batteries (AZIBs) are gaining significant attention as a green and efficient alternative for energy storage technologies. However, the prolonged and persistent chemical dissolution and electrochemical capacity fading of one of the dominant vanadium oxide cathodes has long posed an unavoidable challenge. Meanwhile, the energy storage mechanism of AZIBs remains controversial, along with the formation of parasitic and derived cathode‐related products during the repeated charge/discharge procedure. Herein, this review expects to provide a comprehensive analysis of the fundamental redox reactions in vanadium oxide‐based AZIBs, with particular emphasis on nanostructure features and their evolution, ionic transference, and ionic occupation, to elucidate the underlying mechanisms involved in the system. Furthermore, several effective strategies, including cathode modification and electrolyte design are summarized. Finally, the review offers potential avenues for advancing cathode materials, inorganic colloids, high‐entropy electrolytes, and mechanism characterization, thereby contributing to the continued development of this field.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".