Resolving the Effects of Surface Area and Porosity on the Capacitance of Activated Carbon
Bibliographic record
Abstract
One strategy to improve the energy density of electrochemical double-layer capacitors is to maximize the capacitance per unit surface area. However, due to the intercoupled relationship between surface area and pore size distribution, the effect of pore size on capacitance remains unclear. In this study, two samples prepared from the same raw material, with similar specific surface areas and chemical compositions, but different pore size distributions are compared in order to investigate the effects of pore size on capacitance. The results demonstrate that in the microporous sample, the SSA-normalized capacitance is 15.1 µF cm-2, while the mesoporous sample has an SSA-normalized capacitance of 13.2 µF cm-2 for all charging rates. However, when normalized to mass, the enhanced micropore capacitance may be masked due to variations in a sample's bulk density. Therefore, these results demonstrate in broad pore size distribution activated carbon samples, the SSA-normalized capacitance is enhanced in microporous materials.
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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".