Analysis of the recombination mechanisms in silicon solar cells with the record 26.6% photoconversion efficiency
Bibliographic record
Abstract
The performance of high-efficiency textured silicon solar cells is modelled within the thin-base approximation. In addition to the standard recombination mechanisms (Shockley-Read-Hall, radiative, and Auger), our approach includes the trap-assisted exciton Auger recombination and the space charge region recombination. A simple phenomenological expression is used for the photocurrent external quantum efficiency in the long-wavelength part of the absorption spectrum. The key parameters of textured silicon solar cells, such as short-circuit current, open-circuit voltage and photoconversion efficiency, are determined theoretically. They are in good agreement with the experimental results obtained for the heterojunction solar cells with the record efficiency of 26.6% produced by Yoshikawa et al. (2017). The theoretical optimal doping level and base thickness of these solar cells are found to be quite close to the experimental ones.
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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 | 0.002 |
| 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".