Miniband effect on optical vibrations in short-period<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">In</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi mathvariant="normal">Ga</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:mi mathvariant="normal">As</mml:mi><mml:mo>∕</mml:mo><mml:mi mathvariant="normal">In</mml:mi><mml:mi mathvariant="normal">P</mml:mi></mml:mrow></mml:math>superlattices
Bibliographic record
Abstract
The formation of the miniband electron energy structure and its effect on optical vibrational modes were explored in doped ${\mathrm{In}}_{x}{\mathrm{Ga}}_{1\ensuremath{-}x}\mathrm{As}∕\mathrm{In}\mathrm{P}$ superlattices with different periods. The analysis of the high resolution x-ray diffraction, Raman and magnetotransport data allowed us to conclude that in spite of the defect structure of the layers constituting the superlattices, their superperiodicity was well defined. The blueshift of the coupled plasmon-LO phonon modes was observed with decreasing superlattice period consistent with the development of the minibands. The coherence lengths of the coupled modes were found to be considerably longer than those of the optical phonons. This provided a quantitative proof of the conditions for breakdown of the Raman selection rules. Due to the defect structure of the layers no Raman selection rules were observed for the longitudinal optical phonons in long-period superlattices. In contrast, the selection rules of the coupled plasmon-longitudinal optical phonon vibrations observed in short-period superlattices were demonstrated to occur due to the increase of the coherence lengths of the coupled modes with respect to the coherence lengths of the optical phonons.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".