Ni‐Bis(dithiolene) Coordination Enhanced Dual‐Functional Covalent Organic Frameworks for both Cathodic Zn <sup>2+</sup> Storage and Anodic Zinc Deposition Control in Aqueous Zn‐Ion Batteries
Bibliographic record
Abstract
Abstract In response to the increasing demand for sustainable energy storage solutions, aqueous zinc‐ion batteries (AZIBs) have garnered significant attention for their high safety, low cost, and environmental friendliness. However, two major challenges to battery stability persist: developing efficient cathode materials and addressing zinc dendrite formation. Here, we report a dual‐functional covalent organic framework (COF), named Ni–DAPTO, designed to improve both Zn 2+ storage on the cathode and zinc deposition kinetics on the anode. The incorporation of Ni coordination centers achieves an expected low energy gap, enhancing the intrinsic conductivity, while selectively guiding uniform Zn 2+ deposition. As a result, the Ni–DAPTO cathode demonstrated superior cycling stability and rate performance, retaining a specific capacity of 127.0 and 119.7 mAh g −1 at 0.5 and 10.0 A g −1 , respectively after 10 000 cycles. Besides, when employed as artificial solid electrolyte interphase (SEI), Ni–DAPTO can improve zinc utilization and inhibit dendrite formation. The full AZIBs assembled with Ni–DAPTO cathodes and Ni–DAPTO modified Zn anodes deliver a discharge capacity of 100.9 mAh g −1 after 1000 cycles at a current density of 5.0 A g −1 . These findings suggest that multifunctional COFs hold great potential for advancing high‐performance and long‐lasting aqueous secondary batteries.
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 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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".