Construction of Hierarchical Flower‐Shaped (NH<sub>4</sub>)<sub>2</sub>V<sub>3</sub>O<sub>8</sub>/rGO with Enhanced Zinc Storage Performance**
Bibliographic record
Abstract
Abstract Vanadium‐based cathode materials are being widely investigated in aqueous zinc‐ion batteries (ZIBs) due to their high specific capacity. However, poor cycling stability and low conductivity limit their practical applications. Herein, the hierarchical flower‐shaped (NH4)2V3O8/reduced graphene oxide (denoted as NVO/rGO) composite is designed to harvest high‐efficiency Zn storage. Benefiting from the stable layered structure of NVO, the prominent pseudocapacitance, and excellent conductivity of rGO, the NVO/rGO composite exhibits a high specific capacity of 375.3 mAh g−1 at 0.2 A g−1, excellent cycling stability of 265.0 mAh g−1 after 3700 cycles at 5.0 A g−1 (capacity retention over 95.3 %), and outstanding rate performance of 263.9 mAh g−1 at 10.0 A g−1 by using traditional coin cells. To further verify the practicability of the NVO/rGO cathode, flexible electrode and xanthan gum electrolyte are adopted to assemble quasi‐solid‐state ZIBs, which exhibit a great specific capacity of 185.0 mAh g−1 at 0.5 A g−1 and good stability under different bending angles with an impressive capacity retention of 92.2 % after cycling. This study illustrates that hierarchical flower‐shaped NVO/rGO has a promising potential as aqueous or quasi‐solid‐state ZIBs cathode and improves the application of vanadium‐based materials.
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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) | 0.000 | 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 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".