Full Wafer Spalling and Cell Processing of Devices Grown on GaAs(100) Substrates
Bibliographic record
Abstract
Controlled spalling has proven to be a promising substrate reuse technology for III-V photovoltaics due to its potential for high throughput, relatively low cost, and ability to fabricate high-quality devices. However, previous studies have only demonstrated the ability to produce small-scale, single-cell devices on a small area of a substrate. In this study, we show the ability to spall a full 2” GaAs wafer and process multiple 1-J GaAs cells across its surface. Completing full edge to edge spalls and processing thin films into high-quality cells are still in the early stages of development, and more optimization work needs to be done to maximize yield. A preliminary attempt at a full wafer spall and thin film processing produced 18 cells with an efficiency >=15% out of a total 43 cells.
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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 | 0.000 |
| 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".