Zincophilic Design for Highly Stable and Dendrite‐Free Zinc Metal Anodes in Aqueous Zinc‐Ion Batteries
Bibliographic record
Abstract
Abstract Aqueous zinc‐ion batteries represent a highly promising next‐generation electrochemical energy storage system because of their safety, environmental friendliness, resource abundance, and simple assembly conditions. However, the formation and growth of zinc dendrites on zinc anode seriously hinder the practical application of zinc‐ion batteries. Zincophilic design, which enables the uniform zinc nucleation/deposition, offers an effective solution to achieve dendrite‐free zinc anodes. Despite significant progress in the field of zincophilic design, the research in this field currently lacks clear analysis and guidance. This paper provides a comprehensive overview of the current research status of zincophilic design and the mechanism for dendrite‐free zinc anode from three aspects: construction of zinc anode zincophilic layers, addition of zincophilic additives in electrolyte, and construction of 3D zincophilic host. Moreover, the challenges facing the industrialization and commercialization of zinc‐ion batteries in the further are briefly discussed.
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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 | 0.001 |
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".