Self‐Induced Compositional Variations in <scp>GaAs/AlGaAs</scp> Core‐Shell Nanowires
Bibliographic record
Abstract
Semiconductor nanowires (NWs) have promising properties for optoelectronic devices such as solar cells and light emitting diodes. For the development of such NW‐based devices, the correlation between structural features, composition, and optoelectronic properties of the NWs must be well understood. This task can be challenging as the growth can induce large NW‐to‐NW variations. As a statistical meaningful sampling at the required spatial resolution by multiple techniques would be very time consuming, correlated studies where the exact same NWs are characterized optically and structurally by different techniques are an alternative [1]. In this study, the same single self‐catalyzed GaAs/AlGaAs core‐shell NW is studied using micro‐photoluminescence (µ‐PL) and transmission electron microscopy (TEM). After conventional TEM, cross‐sections of two regions of the same NW were made using focused ion beam (FIB) to obtain a 3D impression of the NW. To study variations in the shell, a cross‐section was made perpendicular to the growth direction from the lower half of the NW, and to study variations in the tip a section was made perpendicular to the ‐1‐12‐direction from the top of the NW (Fig. 1(a)). The cross‐sections were studied using high‐angle annular dark‐field scanning TEM (HAADF STEM) and quantitative electron‐dispersive x‐ray spectroscopy (EDS) to reveal compositional variations in the different directions of the NW. The NWs in the growth batch are mostly defect free zinc blende (ZB), with stacking faults and a wurtzite (WZ) region towards the tip area (Fig. 1(b‐c)). µ‐PL of 17 studied NWs shows a signal at the ZB GaAs free exciton energy at 12 K. About half of the NWs also have an additional PL signal at higher energy, as can be seen in Fig. 1(e). Compositional variations in the AlGaAs shell of the NWs could possibly explain this high‐energy PL emission in the 1.6‐1.8 eV energy range [2]. In both cross‐sections (Fig. 1(d) and Fig. 2) this type of structure, with narrow Al‐rich and Al‐deficient bands parallel to the facets of the NW, is visible. Quantitative EDS maps based on the zeta‐method [3] (Fig. 3(a)) shows that the Al concentration in the Al deficient bands for the observed widths is too high to explain the sharp PL emission in the range 1.6‐1.8 eV. In addition to the shell, the tip region also depicts compositional variations. These features were only visible in the cross‐section normal to the ‐1‐12 ‐ direction (Fig. 1(d) and 2(b)) and not apparent by conventional TEM imaging (Fig. 1(c)). Quantitative EDS (Fig. 3(b)) shows that the Al concentration is varying within the tip. Correlated studies on the very same NW including µ‐PL, conventional TEM, FIB preparation in different directions and quantitative EDS are required to visualize and explain self‐induced compositional variations and peculiar optical characteristics within these GaAs/AlGaAs core‐shell NWs.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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".