Sub-millimeter-scale multijunction solar cells for concentrator photovoltaics (CPV)
Bibliographic record
Abstract
Concentrator photovoltaic (CPV) technologies provide the highest photovoltaic conversion efficiency but remain too expensive for very large scale development. Reduction of the dimension (micro-CPV) is a promising approach towards cost reduction but necessitates sub-millimeter-scale high efficiency solar cells. In this paper, we review the challenges faced by sub-millimeter-scale solar cells for application in micro-CPV. We show that plasma etching processes are necessary to fabricate sub-millimeter-scale high-efficiency solar cells to avoid a waste of material in the isolation and dicing lines. We also show that despite the cell performance is known to degrade when the dimension of the cell is downscaled, this degradation can be negligible when optimized etching and passivation processes are used and when the cell operates under high concentration (<500x). The through-cell via contact architecture is a promising approach to avoid bus bars on the front side and therefore optimize the wafer usage and minimize dark current. Combining all these solutions, we claim that sub-millimeter-scale high efficiency solar cells as small as 0.01 mm2 can be fabricated with more than 90% of wafer material used for photovoltaic conversion and without performance degradation when operating under 1,000x concentration compared to 1 mm2 solar cells operating under 500x concentration. Challenges on characterization and in-line metrology remain to be solved and manufacturing lines need now to be adapted to provide commercial solutions for micro-CPV.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".