Design on a Novel Titanium Dioxide Irregularly Distributed Bragg Reflector for Thin Film Silicon Solar Cells
Bibliographic record
Abstract
Titanium dioxide, which leads an excellent optical performance, is proposed to design irregularly distributed Bragg reflector (IDBR) through theoretical simulation as well as experimental verification. Firstly, a primary distributed Bragg reflector (DBR) model with the titanium dioxide serving as low reflection layer in, and amorphous silicon as high reflection layer is analyzed. The titanium dioxide DBR shows much enhanced reflection bandwidth relative to the DBR with silicon dioxide. A further study suggests that a traditional titanium dioxide IDBR demonstrate much enhanced performance versus the silicon dioxide IDBR with similar structure. Besides, the reflection bandwidth of the IDBR, especially in the high wavelength range, is dramatically promoted with respect to the DBR. Finally, a novel gradient IDBR model is developed. The simulation results reveal a higher reflection bandwidth of the titanium dioxide gradient IDBR than the silicon dioxide one. The reflectance of the titanium dioxide gradient IDBR is up to 90% in a range by 300 to 1450 nm. And, the reflection bandwidth of the gradient IDBR is much improved respect to the traditional IDBR. It seems that the titanium dioxide gradient IDBR could be an efficient selection for the thin film silicon solar cells. Finally, the gradient IDBR were fabricated via plasma enhanced chemical vapor deposition (PECVD) on a silicon wafer. A further test demonstrates a reflectance over 95% in the range from 400 to 1400 nm, and verifies the simulation results.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".