Modulating pore channels of activated carbon from biomass to assemble zinc ion hybrid supercapacitor with high specific capacitance
Bibliographic record
Abstract
A notable challenge in zinc ion hybrid supercapacitor (ZiHSC) is the size discrepancy between the carbon cathode pores and the [Zn·(H 2 O) 6 ] 2+ (diameter of ∼0.86 nm), which weakens ionic migration kinetics and reduces energy density. To address this, wood-derived porous carbon with a hierarchical pore structure was synthesized via combined chemical and physical activation. The thermal reduction reaction between H 2 O steam and the marginal carbon atoms in the pre-existing pores was revealed, successfully enlarging pore diameters from 0.54 nm to 0.71 nm and 1.13 nm. The optimized electrode exhibited a specific capacitance of 412.76 F/g at the scan rate of 5 mV/s in a three-electrode system, and a specific capacity of 269.54 mAh/g at 0.2 A/g current density, and a high energy density of 210.76 Wh/kg at the power density of 1 296 W/kg (based on active material). Furthermore, it exhibited accelerated ion diffusion kinetics within the ZiHSC device and excellent cycling stability (93.55% capacity retention after 20, 000 cycles). In situ X-ray powder diffraction (XRD) and Raman spectra revealed that the enhanced charge storage mechanism was coupled with dynamic phase transitions of Zn 4 SO 4 (OH) 6 ·5H 2 O crystallites on electrode surface and the adsorption of Zn 2+ /[Zn·(H 2 O) 6 ] 2+ into hierarchical pore channel during discharge. This study presents a novel approach for improving the structural and supercapacitive properties of activated carbon materials, demonstrating excellent potential for practical applications.
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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".