Probing the large bandgap-bowing and signature of antimony (Sb) in dilute-antimonide III-nitride using micro-Raman scattering
Bibliographic record
Abstract
Dilute-antimonide III-nitrides (Sb < 1%), with their unprecedented and broad range tuning of bandgap and associated properties, provide extraordinary opportunities for engineering band structure, strain, and polarization and a significant promise to overcome the fundamental issues of conventional InGaN for efficient light emitters operating in the deep-visible spectral range, including the large lattice mismatch (∼11%) between InN and GaN, large strain-induced polarization field, and difficulty in realizing efficient p-type conduction. However, a fundamental understanding of their synthesis, structural, and optical properties at the dilute Sb regime has so far remained largely unexplored. Herein, we have investigated room-temperature, nonpolarized Raman scattering of nominally undoped dilute-antimonide GaSbN nanostructures, grown by plasma-assisted molecular beam epitaxy on n-type Si substrates. Both nonresonant and near-resonant excitation in backscattering geometry reveals that the typical Raman modes of GaN are largely affected due to a small amount of Sb incorporation (<1%). A nonlinear and progressive downward frequency shift of the A1(LO) mode in GaSbN epilayers had been derived from 736 cm−1 to 715 cm−1 for Sb composition up to 0.6%, which is analogous to the large bandgap reduction of dilute-antimonide GaSbN. Raman signatures corresponding to Sb incorporation can be observed further via two additional peaks in the spectra. Complementary analysis on structural and surface charge properties of dilute-antimonide GaSbN suggests that the Raman-mode fluctuations can be useful for probing Sb contents in the alloy with further strain correction.
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 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 | 0.000 |
| 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 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".