Construction of Stable Zn Anode by 3D Flamed Reduced Graphene Oxide with Long Cycling Life
Bibliographic record
Abstract
Aqueous zinc-ion capacitors (ZICs) have been regarded as an emerging energy storage device due to their excellent safety, low cost, environmental friendliness, and high energy density. However, poor cycling stability due to fatal defects of the zinc anode such as dendrite growth, corrosion, and passivation limits the better development of ZICs. Here, we propose a dual strategy of 3D host design and surface chemical modification. Zn foam is chosen as the anode skeleton to expand the 2D zinc metal into a 3D porous structure, providing abundant active sites and enhancing the electrical conductivity. Meanwhile, the flamed reduced graphene oxide (FRGO) coating is used as a protective and modulating layer for the 3D skeleton to enhance zinc deposition and effectively inhibit interfacial side reactions. As a verification, the prepared FRGO coated Zn foam (FRGO@Zn foam) in a symmetrical cell shows a stable cycle life of 1600 h at 1 mA cm –2 and 1 mAh cm –2 . Furthermore, when FRGO@Zn foam was used as the anode and dense rGO/FRGO graphene film used as the cathode, the energy density of the ZICs is as high as 118.4 Wh L –1 (124.6 Wh kg –1 ), and the capacitance retention rate is still 93.6% after 30,000 cycles, indicating that the anode has good application prospects in the ZIC field.
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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) | 0.000 | 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) | 0.000 | 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".