Recent progress in lateral overgrowth of semiconductor structures from the liquid phase
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The article presents a short review of recent developments in epitaxial lateral overgrowth (ELO) of thin layers of III‐V compound semiconductors by liquid phase epitaxy (LPE) and also by liquid phase electroepitaxy (LPEE). The focus is on the relative contributions of various transport processes involved in ELO toward the growth of high quality, dislocation free thin layers of semiconductors with large width/thickness ratios. Results of our experimental and modelling studies on lateral overgrowth by LPE are used as examples. Furthermore, the application of LPEE for lateral overgrowth of compound semiconductors, a new emerging area of ELO technology, is discussed, and some experimental and numerical results are presented. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it