Fabrication and Characterization of Nanostructured Silicon Films for Photovoltaic Applications
Bibliographic record
Abstract
In semiconductor solar cells, the energy band structure has a major influence on cell efficiency.Shifting the bandgap of the semiconductor to fit the solar radiation spectral will increase the energy conversion efficiency.One way to modify the bandgap is by nanostructuring the material.In this thesis, we introduce a novel nanostructured ITO substrate deposited with an ultrathin silicon film.The glancing angle deposition research group fabricated the ITO substrate at University of Alberta while the amorphous Si film was deposited at Carleton University.The sample was fabricated for optical property study and photovoltaic performance evaluation.An optical absorption and reflection characterization system was set up to measure the thin film semiconductor.The system was based on programmable optical equipment.The fabricated nanostructured Si/ITO film was characterized with this set up and the optical constants such as absorption coefficient and refractive index were extracted.Although the structure of the deposited Si film was not exactly as expected, the measurements have shown slight enhancement of visible band light absorption.Both a-Si and c-Si were deposited; the absorption of a-Si is 10% more than c-Si in the visible range.Therefore, the novel a-Si film sample is a promising candidate for further research.
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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 | 0.001 |
| 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".