Surfactant-assisted hydrothermal synthesis of FeVO<sub>4</sub> nanoparticles for supercapacitor applications
Bibliographic record
Abstract
Due to their high capacitance, stability, and conductivity, binary transition metal oxides, such as iron vanadate, have the potential to be ideal electrode materials for supercapacitors. The effect of surfactants such as polyethylene glycol, cetyltrimethylammonium bromide, and thioglycolic acid (TGA) on the formation and properties (structural, morphological, optical, and vibrational) of iron vanadate nanoparticles has been investigated using various analytical techniques. The results show that the surfactants significantly influence the morphology of the prepared FeVO4 nanoparticles. The nanoparticles prepared using TGA show a nanomat-like structure with the smallest particle size, and they were subjected to Cyclic Voltammetry analysis, showing a specific capacitance of 48 Fg−1 and demonstrating potential to be used for 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".