Optimation PAN/TiO2 Nanofiber Membrane as Separator for Symmetric Supercapacitor
Bibliographic record
Abstract
Supercapacitor is one of the energy storage systems known for their high-power density, long cycle life, and good cycling stability. To improve supercapacitor performance, we used a polymer PAN composite titanium dioxide (TiO2) as the separator material. Nanofiber separator membranes of PAN/TiO₂ with various masses (0, 5, 10, 15, and 20 wt%) were successfully synthesized using the electrospinning technique. The addition of TiO2 for modified fiber, due to its high absorption rate for energy storage, increased electrolyte uptake and optimized supercapacitor performance. The morphology, functional groups, crystallinity, and thermal stability of the membranes were identified using scanning electron microscope (SEM), Fourier transform infra-red (FTIR), x-ray diffraction (XRD), and thermogravimetric analysis (TGA), respectively. It was found that the membrane with 15 wt% TiO2 exhibited a fiber diameter of 224.73 nm, pore size of 138.98 nm, the highest porosity of 66.50%, electrolyte uptake of 240%, and thermal stability up to 282°C, with a remaining mass of 3.94% after being tested at 1000°C. The electrochemical performance of the supercapacitors was measured using galvanostatic charge-discharge (GCD), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The membrane containing 15 wt% TiO2 demonstrated optimum ionic conductivity of 4.4 x 10-4 S/cm, gravimetric capacitance of 57.770 F. g-1, and capacitance retention of 94.22% after 1000 test 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".