Effect of Carbon Pososity on the Electrochemical Properties of Carbon/Polyaniline Supercapacitor Electrodes
Bibliographic record
Abstract
Supercapacitors have attracted great attention in power source applications, due to their high power density, elevated charge/discharge rate, good reversibility and long life. Activated carbons are the most frequently used electrode material, due to their high accessibility, non-toxicity, high chemical stability, good electrical conductivity, high surface area and low cost, but in practice the capacitance values are limited by the material microstructure. In this work we report on the synthesis and electrochemical characterization of carbon/polyaniline composites, synthesized by in-situ polymerization in acid media of aniline monomer on the surface of two activated carbons having different textural properties, and on the effect of the carbon porosity on the electrochemical properties of the electrodes. Results obtained indicate that the BET specific surface of the composites decreases sharply due to the collapse of the porous structure (mainly the micropores) of the carbon by the polyaniline chains. Regarding capacitance values, Csp increases on increasing polyaniline loading in the composite, however high polymer concentration lead to a decrease on capacitance when high current were applied, probably due to diffusion restrictions of the electrolyte anions and cations to the carbon surface.
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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 | 0.001 |
| 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".