Quantum Size Effect Synergizes Space‐Limited Domain Action for Advanced Aqueous Zinc‐Iodine Batteries
Bibliographic record
Abstract
Abstract Rechargeable aqueous zinc‐iodine batteries (AZIBs) demonstrate immense potential for large‐scale energy storage owing to their high theoretical capacity, resource abundance, and low cost. However, their practical deployment is hampered by the notorious polyiodide shuttle effect and sluggish redox kinetics. Herein, an Al‐TCPP(Fe) metal‐organic framework (MOF) is designed and synthesized with specific functional sites as an advanced iodine host. The unique microporous structure of this MOF provides significant spatial confinement, which effectively suppresses the dissolution and migration of polyiodide intermediates, thereby mitigating the shuttle effect. Furthermore, precisely engineered Fe‐N 4 catalytic sites embedded within the MOF framework induce a quantum size effect under nanoscale confinement, which significantly modulates the electronic structure of the Fe sites, dramatically accelerating the iodine redox kinetics. Benefiting from these structural merits, the resulting I 2 @Al‐TCPP(Fe) cathode delivers a high specific capacity of 210.95 mAh g −1 at 1C, achieves an ultralong cycling lifespan of over 54 000 cycles at a high rate of 50C, and enables the fabrication of an ampere‐hour‐level pouch cell. This work highlights a synergistic strategy of coupling the quantum size effect with spatial confinement to engineer advanced MOF‐based hosts, paving the way for developing high‐performance, long‐lifespan aqueous zinc‐iodine batteries.
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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 | 0.000 |
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".