Facile nanometer thick native oxide based passivation of silicon for high efficiency photovoltaics
Bibliographic record
Abstract
Fabrication of low cost solar cells using ultra-thin (approximately 20 μm) silicon wafers is a viable route given the significant potential of reduced material cost and its versatility to a range of portable and terrestrial applications. Low temperature processing is a compelling opportunity for the synthesis of high-efficiency ultra-thin silicon wafers. Further, excellent surface passivation attainable through facile low temperature processing techniques is an essential enabler for effective manufacturing of ultra-thin silicon solar cells, and thus paving the way for high-efficiency low-cost silicon foil photovoltaics. This article presents a novel low temperature passivation scheme using approximately 1 nm thick facile native oxide and 75 nm PECVD SiN <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> . A maximum lifetime of 1.7 ms has been obtained for the passivation scheme. Moreover, the passivated wafers were also used to fabricate Back Amorphous-Crystalline Silicon Heterojunction (BACH) cells using double side polished n-type FZ wafers. A maximum cell efficiency of 16.7% is obtained for facile native oxide -PECVD SiN <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> bilayer passivated cells having V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">OC</sub> of 641 mV, J <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SC</sub> of 33.7 mA/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and fill-factor of 0.77 for a 1 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> untextured cell (all measurements having been performed under AM 1.5 global spectrum illumination).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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".