Supercapacitor performance evaluation of nanostructured Ag‐decorated<scp>Co‐Co<sub>3</sub>O<sub>4</sub></scp>composite thin film electrode material
Bibliographic record
Abstract
Nanostructured Ag-decorated Co-Co3O4 composite thin film (Ag/Co-Co3O4) synthesized on nickel foam (NF) by a combination of cyclic voltammetry and pulse reverse potential electrodeposition modes presents higher specific capacitance and its retention. The higher specific capacitance of 2800 F/g on Ag/Co-Co3O4/NF composite thin film in comparison with 2580 F/g on Co-Co3O4/NF at 1 A/g is attributable to the presence of nanostructured Ag in the composite film enhancing the ionic and electronic conductivity of the material. The morphology revealed by the scanning electron microscope correlates the electrochemical and capacitance behavior while the energy-dispersive X-ray spectroscopy spectra confirmed the presence of Co, Ag, and O in the Ag/Co-Co3O4/NF composite thin film. The attenuated total reflection-Fourier transform infrared spectra obtained further confirmed the presence of Co–O bonds. The Ag/Co-Co3O4/NF composite thin film presented an amorphous nature as revealed by the X-ray diffraction spectra. In addition, the Ag/Co-Co3O4/NF electrode exhibited a maximum specific energy of 69.5 Wh/kg, specific power of 6.6 kW/kg and capacitance retention of 82.6% after 1000 cycles, while the Co-Co3O4 electrode (with no Ag) showed lower specific energy of 60.8 Wh/kg, specific power of 5.8 kW/kg, and a capacitance retention of 78.2% after 1000 cycles. Furthermore, by the incorporation of Ag, the composite electrode showed a reduction in the equivalence series resistance value from 1.5 Ω cm2 (Co-Co3O4/NF) to 1.0 Ω cm2 (Ag/Co-Co3O4/NF) as well as in the charge transfer resistance (Rct) from 2.86 Ω cm2 (Co-Co3O4/NF) to 0.96 Ω cm2 (Ag/Co-Co3O4/NF) indicating the positive influence of the presence of Ag in the film. The electrochemical evaluation indicates that a synergistic effect between Ag and Co-Co3O4 enhances supercapacitor electrode 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 | 0.001 | 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".