Hierarchical Porous Carbon Prepared through Sustainable CuCl <sub>2</sub> Activation of Rice Husk for High‐Performance Supercapacitors
Bibliographic record
Abstract
Abstract Porous carbon material has been widely used as the electrode material for supercapacitor owing to distinctive advantages of high electrical conductivity, low cost and availability at ease. In this study, rice‐husk‐derived porous carbon (RHPC) is successfully prepared by employing a new activation agent copper chloride (CuCl 2 ). The morphology and porous structure of RHPC are characterized by scanning electron microscope and N 2 adsorption/desorption. The electrochemical performances of RHPC are investigated by alvanostatic charge‐discharge, cyclic voltammetry and electrochemical impedance spectroscopy. The RHPC possesses high porosity and large specific surface area. When used as supercapacitor electrode materials, RHPC exhibits high specific capacitance of 165.23 F⋅g −1 at a current density of 0.5 A⋅g −1 , excellent cycle stability and noticeable high‐rate capacity of 151.69 F⋅g −1 even at a high current density of 20 A⋅g −1 . More importantly, the preparation of this CuCl 2 activator is facile and low‐cost. Besides, the recyclability meet the requirements of environmental concerns.
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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) | 0.001 | 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 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".