Preparation and Characterization of the Cobalt Doped Polyaniline/MWCNT Nanocomposites for Supercapacitor Application
Bibliographic record
Abstract
Transition metal ion doped poly-aniline (PANI)/ multiwall carbon nanotube (MWCNT) composite was successfully prepared by in-situ oxidative polymerization of aniline monomer for supercapacitor application. The Co-doped PANI/MWCNTs composite showed improved capacitive behavior and lower electrical resistance compared to HCl doped PANI (DPANI)/MWCNT composite. By using carbon nano tube with conducting polymer offer exceptional power andhigh performance by supplying high surface area, high conductivity and high retention of mechanical strength under charge-discharge cycle. All the materials were characterized by Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy, field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM). The electrochemical capacitive performance of the asymmetric supercapacitor was tested by cyclic voltammetry (CV), impedance spectroscopy (EIS) and cyclic charge-discharge (CCD) test in a three-electrode system. The highest specific capacitance value (576 F/g) was obtained at a scan rate of 2 mV/s in 1 (M) KOH electrolyte for Co-PANI/MWCNTs composite.
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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".