Synergy of Charge Storage Properties of CuO and Polypyrrole in Composite CuO-Polypyrrole Electrodes for Asymmetric Supercapacitor Devices
Why this work is in the frame
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Bibliographic record
Abstract
This investigation is motivated by interest in the redox properties of CuO for energy storage in supercapacitors and in the fascinating effects of charge transfer in conductive polymer–metal oxide composites on their physical and chemical properties. Various challenges are successfully addressed, such as efficient utilization of capacitive properties of charge storage materials in high active mass loading electrodes; understanding charge storage mechanisms at different electrode potentials; fabrication of anodes with high areal capacitance, which can match the capacitance of advanced cathodes; and fabrication of advanced asymmetric supercapacitor devices with high specific energy. CuO nanoparticles are prepared by hydrothermal synthesis and polypyrrole (PPy) particles are prepared by chemical polymerization for the fabrication of CuO and composite PPy-CuO anodes. An important finding is the synergistic effect of capacitive properties of PPy and CuO, which facilitates the fabrication of anodes with a record high capacitance of 7 F cm –2 in a 0.5 M Na 2 SO 4 electrolyte. The capacitance, impedance, and charge transfer resistance of the composites are optimized by investigating electrodes with different PPy contents. The superior behavior of the composites is linked to the enhanced charge transfer, which results in a low impedance and reduced charge transfer resistance. The composite electrodes show good capacitance retention at fast charge–discharge rates and good cyclic stability. The asymmetric supercapacitor devices show high capacitance of 2.76 F cm –2 in a voltage window of 1.5 V, high energy density of 10.83 Wh kg –1, and good cyclic stability.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it