Optimizing inverted pyramidal grating texture for maximum photoabsorption in thick to thin crystalline silicon photovoltaics
Bibliographic record
Abstract
We use the wave optical approach to optimize the front surface inverted pyramidal grating texture on 2 to 400 μm thick crystalline silicon in order to derive the maximum photocurrent density from the cell. We identify a “one size fits all” front grating periodicity of 1000 nm for c-Si absorbing layer configured with a back surface reflector that maximizes the absorption of normally incident AM1.5g solar spectrum irrespective of the layer thickness. With the identification of such universal inverted pyramidal grating texture, a common texturing process can be developed for high-efficiency devices on thick to thin c-si. Furthermore, our studies show that the photocurrent decreases by 0.02 mA/cm2with every nanometer increase in the width of the flat region (mesa) between inverted pyramids in the optimum texture. The decrease in photocurrent due to reflection from the mesas can be recovered with the addition of an antireflective coating of optimum thickness of 80 nm and refractive index ~ 2.1.
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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".