Fabrication of PECVD grown n-i-p silicon nanowire solar cells
Bibliographic record
Abstract
Silicon nanowires have been shown to have strong light trapping properties making them a promising photovoltaic material. In this study, silicon nanowires, grown by RF plasma enhanced chemical vapor deposition (PECVD), are incorporated as the absorbing layer in n-i-p solar cells. Silicon nanowires are fabricated at a temperature of 375 °C by Vapor Liquid Solid (VLS) method. Nanowire solar cells have an average specular reflectance of 6.3% as compared to 22.6% for the thin film amorphous silicon (a-Si) device (over λ = 350 nm - 750 nm). Similarly the average diffuse reflectance of the nanowire devices is 4.9% as compared to 9.4% for the thin film a-Si device. External quantum efficiency measurements indicate the largest contributor to collection efficiency losses is from the catalyst impurity used for nanowire growth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".