Study of unintentional As incorporation into AlSb and interfacial layers within InAs/AlSb superlattices
Bibliographic record
Abstract
Highly strained interfaces may exist between indium arsenide (InAs) and aluminum antimonide (AlSb) layers grown by Molecular Beam Epitaxy (MBE). The composition and thickness of the interfacial layers strongly influence the electronic properties of InAs/AlSb based structures. In this work, the influence of As flux interruption procedure on the unintentional incorporation of As into AlSb layers is studied, by altering the As cracker valve settings. This effect can significantly alter the strain distribution in AlSb barrier by changing it into AlAsySb1−y layer. Several mock growths are conducted to determine the As flux temporal dependence using a beam flux monitor (BFM) at wafer position. When the As beam was interrupted, instead of abrupt flux drop, exponential decay was observed. Excellent fits were obtained using double exponent function. Three InAs/AlSb superlattice samples, varied by As valve open, As valve at 20% of growth flux, and As valve fully closed, are grown and scanned by high-resolution x-ray diffraction (HRXRD). By applying the curve fitting results into the x-ray diffraction simulations, XRD data is well fitted. The influence of As valve setting is proven to be important for interfacial strain generation. A considerable amount of As is incorporated into AlSb layers even when the As shutter is closed for As interruption during the barrier growth, and forms AlAsySb1−y instead of pure AlSb layer. The composition y may decay exponentially down to some fixed amount within the projected AlSb layers. However, whether the As composition within AlAsySb1−y layers drops exponentially or abruptly still remains as a question. Moreover, instead of an ideal monolayer of (AlAs)0.5(InSb)0.5, one monolayer of (AlAs)x(InSb)1−x with more As than Sb may exist at the InAs/AlSb interface.
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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 | 0.000 | 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 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".