Coordination‐etching fabrication of ZIF‐67‐derived nickel–cobalt layered double hydroxides for aqueous Ni‐Zn batteries
Bibliographic record
Abstract
Abstract Aqueous zinc‐based batteries (ZBBs) are promising for grid‐scale energy storage owing to their safety and cost‐effectiveness; however, their practical application is hindered by rapid capacity fading and unstable cathodes caused by sluggish Zn 2+ kinetics and structural degradation in alkaline electrolytes. Herein, to address these challenges, we utilize amphiphilic polymer (PVP) to realize the composite of nickel‐based complexes and ZIF‐67. The hierarchical nickel–cobalt layered double hydroxide (NiCo‐LDH) was prepared by metal ion exchange strategy. PVP‐mediated‐mediated suppression of agglomeration, combined with Ni 2+ ‐induced framework reconstruction, synergistically modulated the morphology, resulting in mesoporous nanosheets with hydroxyl‐rich surfaces. This design generated high‐valence Co 3+ species through charge‐compensation‐driven oxidation, thereby significantly accelerating Zn 2+ ion diffusion and reducing the interfacial resistance. The optimized NiCo‐LDH‐100 cathode (Ni:Co = 3:1) achieves cycling stability and exceptional energy/power densities (0.49 mWh cm –2 /49.1 mW cm –2 ). This study provides a solution for the cathode instability of Ni‐Zn batteries through a coordination‐derivatization strategy, which is promising for advancing sustainable energy storage technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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 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".