Waste Coffee Grounds‐Derived Micropores Carbon Framework as an Efficient Iodine Host for Zinc Iodine Battery
Bibliographic record
Abstract
Aqueous zinc‐iodine batteries (AZIBs) have attracted significant attention as the most promising next‐generation energy storage technology due to their low cost, inherent safety, and high energy density. However, their practical application is hindered by the poor electronic conductivity of iodine cathodes and the severe shuttling effect of intermediate polyiodides. Here, we report a novel micropores carbon framework (MCF) synthesized from waste coffee grounds via a facile carbonization‐activation process. The resultant MCF features an ultrahigh specific surface area and a high density of micropores, which not only physically confine iodine species to minimize iodine loss but also enhance the electronic conductivity of the composite cathode. Furthermore, biomass‐derived heteroatom dopings (nitrogen functionalities) facilitate effective chemical anchoring of polyiodide intermediates, thereby mitigating the shuttle effect. UV–visible spectroscopy and electrochemical kinetic analyses further confirm the rapid transformation and inhibition mechanism of iodine species by MCF. Consequently, the MCF/I 2 cathode delivers superior specific capacities of 238.3 mA h g −1 at 0.2 A g −1 and maintains outstanding cycling performance with a capacity retention of 85.2% after 1200 cycles at 1.0 A g −1 . This work not only provides an important reference for the design of high‐performance iodine‐host porous carbon materials but also explores new paths for the sustainable, high‐value utilization of waste biomass resources.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".