Mono-crystalline silicon strips grown by liquid phase epitaxy for photovoltaic applications
Bibliographic record
Abstract
We have studied epitaxial lateral overgrowth of p-type silicon by Liquid Phase Epitaxy (LPE) on n-type (111) silicon substrates from a Si/In melt. The substrate had a silicon dioxide mask with a set of parallel opening windows for seed lines which were aligned along a [211]direction. The growth parameters, morphology and electrical properties of the grown crystal were studied. Two single crystalline silicon strips were formed on one single seed line, one strip on either side of the seed line, demonstrating that silicon is more likely to deposit near the interface between the silicon and the oxide. All facets of the strips are {111} planes and therefore the bottom surface has a 4 degree angle with the substrate, providing convenience for the epitaxial layer to be peeled off from the substrate and used for potential photovoltaic applications. Monte Carlo random walk model is used to simulate the epitaxial growth of the mono-crystalline strips.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".