Copper nanoparticles incorporated manganese dioxide nanocomposites for electrochemical capacitance application
Bibliographic record
Abstract
Chemically produced coppercontaining MnO2 nanoparticles were studied using FTIR, UV-Vis spectroscopy, XRD, AFM, cyclic voltammetric and charge/discharge behaviour. Mixed nanocomposites have a crystalline size of 50 nm was calculated through Debye Scherrer’s equation from XRD analysis. The FTIR spectra were recorded region 400- 4000 cm-1, of clean and doped Manganese dioxide nanoparticles. Mn–O can be ascribed to the stretching vibration band of MnO2 nanoparticles at 631 cm-1. The bending and stretching vibrations of the O-H group are ascribed to the fundamental absorption peaks at 1620 cm-1 and 3400 cm-1.AFM is used to characterize the impact of surface roughness on the fundamental properties of MnO2, copper induced nanocomposites of MnO2 particles. Electrochemical impedance and voltammetric experiments are used to investigate the behaviour of individual and mixed nanocomposites as supercapacitors.
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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".