Influences of Zinc Oxide Doping on Functional Characteristics Study of Thin Film Solar Cell for Hybrid Solar Electric Vehicle Utilization
Bibliographic record
Abstract
The solar-based hybrid automotive vehicle represents a trend marked by technological excellence, offering an efficient, cost-effective, and eco-friendly solution. Besides, the enhancement of solar absorption due to poor weather is influenced by poor solar power with reduced photocurrent density. This research focuses on enhancing the solar power and photocurrent density of conventional solar cells featuring aluminium-doped zinc oxide thin films (AZO) using the Mist Chemical Vapor Deposition (MIST CVD) process with a zinc acetate precursor solution processed at temperatures ranging from 200 to 400°C. To investigate the effect of AZO on the functional behaviour of solar cells, microstructural studies utilizing scanning electron microscopy and X-ray diffraction reveal the concentration of AZO and the alignment of Al/ZnO peaks as even. As a result, this research demonstrates a 21% increase in solar power output compared to conventional Cadmium Telluride (CdTe) cells, with an improvement in photocurrent density of 1.24 mA/cm2. This advanced solar cell technology is recommended for use in electric vehicle (EV) applications.
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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".