Flexible Multiwall Carbon Nano-Tubes/Polyaniline Composite for Supercapacitor Application
Bibliographic record
Abstract
In this study, the electrochemical performance of Multi-walled Carbon nanotubes (MWCNT) and polyaniline (PANI) composite (PANI/MWCNT) as supercapacitor electrode material was investigated. An improvement in capacitive performance due to the combination of pseudo capacitance and double layer capacitance was observed. A nano-composite was fabricated by polymerizing pseudo-capacitive polyaniline onto the MWCNT surface through the in-situ chemical polymerization approach. Ammonium persulphate (APS) was used as oxidant to polymerize PANI and HCl was used as dopant. Stainless steel thin foil was used as a current collector as well as a flexible back bone. Graphite conductive ink as binder was used to form a conductive paste. Different composition is varied by varying the PANI concentration from 0.1M, 0.3M, and 0.5M to 1M molar concentration. For material characterization, Scanning Electron Microscopy (SEM) was used to characterize surface morphology of the composite. Cyclic Voltammetry and Electrochemical Impedance Spectrometry in three electrodes set up found that 0.1M PANI/MWCNT yields the best electrochemical performance. Two electrodes setup evaluation on 0.1M PANI/MWCNT reviews promising characteristic suitable for device application. The improved electroactivity of the PANI/MWCNT composite is discussed in detail.
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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".