Preparation of Graphene/polypyrrole Composites for Electrochemical Capacitors
Bibliographic record
Abstract
Graphene/polypyrrole composites are synthesized by in situ polymerization under different mass ratios. The electrochemical performances of graphene, polypyrrole and composites have been investigated. The composites corresponding to the mass ratio 50:50 of graphene to pyrrole deliver an initial capacitance of 223 F/g at a current density of 0.5 A/g. The increased capacitance compared with pristine graphene and polypyrrole could be ascribed to the synergistic effect between graphene and polypyrrole. The cycling stability of the composites is also improved compared with that of polypyrrole. The loss of specific capacitance for the composite electrode is smaller and shows a stable cycle life, capacitance retention of the composites about 80% is found over 1200 cycles.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".