Novel CoMnFeO<sub>4</sub>-MWCNT nanocomposite based on a green synthesized method for supercapacitor applications
Bibliographic record
Abstract
A novel nanocomposite of CoMnFeO4-MWCNT has been synthesized via green and simple hydrothermal method and the structure characterization has been done through FT-IR, X-ray diffraction, scanning electron microscopy, EDX, and high-resolution transmission electron microscopy analysis in this research. Cyclic voltammetry and galvanostatic charge–discharge methods are picked as the strategies to compare their supercapacitor behavior. The specific capacitance of about 1310 F g−1 (at 1 A g−1) in 3 mol L−1 KOH has been recorded for CoMnFeO4-MWCNT nanocomposite when the working voltage is 1.2 V. Moreover, this nanocomposite retains 89% of its initial capacitance after 10 000 charge–discharge cycles. Also, some initial mechanistic studies are performed to achieve a deeper insight into the electrochemical behavior of the nanocomposite implying that the oxidation-reduction process of CoMnFeO4-MWCNT nanocomposite is generally quasi-reversible and diffusion-controlled. From the view of time, coat, and environment, the hydrothermal process is much more reliable and beneficial regarding higher performance.
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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".