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 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".