Comparison of Quantum Well Interdiffusion on Group III, Group V, and Combined Groups III and V Sublattices in GaAs-Based Structures
Bibliographic record
Abstract
An analytical electron microscope was used for direct measurement of the concentration profiles of In1-xGaxAsyP1-yquantum wells (QWs) and barriers grown by molecular beam epitaxy on GaAs substrates. The well and barrier layers had compositional differences on the group III (In/Ga) sublattice only, the group V (As/P) sublattice only, and on both sublattices. These were annealed over a range of temperatures (700-950degC), and the resultant changes in the QW widths and compositional profiles were determined along with the changes in the photoluminescence (PL) emission wavelength. The structures were annealed either uncapped or capped with either a 100-nm-thick layer of low temperature (250degC) grown InGaP (LT-InGaP) or with CVD-grown SiO2. The LT-InGaP layer contains excess phosphorus expected to be present as P-antisite defects. This was used to enhance interdiffusion on the group V sublattice during annealing, producing a blue-shift in PL response. The SiO2capping leads to outdiffusion of Ga from the top GaAs layer producing additional group III defects that enhance interdiffusion of the group III sublattice. The interdiffusion activation energies and diffusivities were obtained from Arrhenius plots for each of groups III and V QWs profile changes. The compositional profiles of the QW after annealing are used to infer the defects involved in the interdiffusion process on each sublattice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".