Investigation Photoluminescence Property of ZnO / PANI Nanocomposite Synthesized in [EtOHMIM+] [HSO4-] Ionic Liquid and CTAB Surfactant
Bibliographic record
Abstract
In the present work, ZnO nanoparticles (NPs) were prepared using hydrothermal method with Trimethyl Ammonium Bromide (CTAB) as surfactant in 1- (hydroxyethyl)-3- methylimidazolium sulfate [EtOHMIM+] [HSO-] ionic liquid (IL). ZnO / PANI nanocomposite was prepared via in situ polymerization. The structures of the modified ZnO particles were characterized by X-ray diffraction, Raman spectroscopy and, scanning electron microscopy (SEM). The optical properties of (ZnO / PANI) nanocomposite were examined by photoluminescence (PL) analysis. XRD and, Raman analysis confirmed that pure ZnO (NPs) synthesized with (CTAB) in [EtOHMIM+] [HSO-] IL were formed. The addition of (CTAB) and [EtOHMIM+] [HSO-] IL does not change the ZnO phase but reduces the particle size of ZnO and converts shallow defects to deep defects. The SEM images of the ZnO / PANI nanocomposite showed the formation of hexagonal wurtzite ZnO (NPs) embedded in polyaniline matrix. The PL intensity of the ZnO / PANI nanocomposite is improved as compared to pure ZnO (NPs). This indicates that [EtOHMIM+] [HSO4-] IL may be acting as a dye, since it is constituted by an organic part, [EtOHMIM+]. This good performance indicates that the synthesised nanocompsite is promising material as photoanode in solar cells.
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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".