Structural, Optical and Electrochromic Property of WO3: MoO3 Thin Film Prepared by RF Magnetron Sputtering Technique
Bibliographic record
Abstract
Tungsten oxide (WO3) films have been deposited on glass substrates by RF magnetron sputtering method for different MoO3 concentration. During experiment consternation of MoO3 was varied from 5%, 10% and 15%. We examined the effect of various MoO3 concentration on structural, optical and electrochromic properties of WO3 films. To study, crystal structure and other properties XRD analysis carried out, and we found that the deposited films shows amorphous feature. The optical properties were examined using UV–Visible spectrophotometer using wavelength range 300-900 nm. From the transmittance spectra we found that as the concentration of MoO3 increases the band gap and transmittance value decreases. The electrochromic properties were examined using three electrode electrochemical cell and the potential applied between ±2.2 V. After studying electrochromic property we observed that WO3:MoO3 the films have good coloration and bleaching properties and the maximum value for coloration efficiency was 2.303 mm2/C for 15% MoO3 concentration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".