Dual‐template synthesis of hierarchical porous carbon and its application in electrical double‐layer capacitors
Bibliographic record
Abstract
Abstract Hierarchical porous carbons (HPCs) with tailored pore structure were fabricated via direct carbonization of a precursor consisting of agar and acetates in an inert atmosphere. The agar served as the carbon source and curing agent, while potassium acetate and calcium acetate were used to create micropores and mesopores, respectively. The morphology and structural features of the HPCs were characterized, and the electrochemical properties were estimated in a three‐electrode system with 6 M KOH as the electrolyte. The resulting HPCs possess a developed pore structure and concentrated pore size distribution (focused at 0.4 and 4 nm), and exhibit typical electrical double‐layer capacitive behaviour. Specially, the HCP‐2 owns a large specific surface area of 1441.65 m 2 /g and excellent electrochemical properties, including a favourable specific capacitance (235 F/g at 1 A/g), good rate capability (capacitance retention rate of 88.1% at 20 A/g), and impressive long‐term cycling stability (90.6% retention of initial capacitance after 3000 cycles).
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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".