Holey C@ZnFe<sub>2</sub>O<sub>4</sub> Nanoflakes by Carbon Soot Layer Blasting Approach for High Performance Supercapacitors
Bibliographic record
Abstract
Holey nanomaterials have been explored as superior electrode materials for energy storage devices. However, the existing methods for synthesis of holey materials are often too complicated and are limited mainly to graphene-derived holey 2D nanosheets. Herein, we report for the first time a versatile, efficient, and low-cost camphor carbon soot layer blasting approach for the generation of nanoholes in C@ZnFe2O4 nanoflakes without damaging the original nanoflake morphology. In the three-electrode system, the holey C@ZnFe2O4 nanoflake based electrode exhibits a high specific capacitance of 1452 F g–1 at 1 A g–1 and excellent cyclic stability with 96% of capacitance retention over 50 000 cycles in 6 M KOH electrolyte. In addition, a symmetric supercapacitor fabricated using two holey C@ZnFe2O4 nanoflake electrodes with [EMIM][BF4] electrolyte exhibits high capacitance (190 F g–1 at 1 A g–1), high energy density (81.4 Wh kg–1 at power density of 0.87 kW kg–1), and superlong cyclic stability (96% retention over 50 000 cycles), which indicates the excellent stability of holey C@ZnFe2O4 nanoflakes in ionic liquid. The carbon soot layer blasting approach developed herein is also extendable for other nanostructures obtained from different metal oxides and sulfides. Thus, the present work provides a significant advancement in synthesis of holey nanomaterials for high-performance energy storage devices.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".