Unambiguous identification of recombination lines in single zinc-blende ZnSe nanowires in direct relation to their microstructure
Bibliographic record
Abstract
We present results on the low-temperature photoluminescence characterization of individual ZnSe nanowires, whose crystal structure was determined to be zinc-blende by transmission electron microscopy on the same individual nanowires as were studied optically. The photoluminescence response from single ZnSe nanowires was found to be dominated by excitonic emission due to native point defects, while no emission peaks related to the unintentional impurities were detected. Two strong photoluminescence lines were observed at 2.785 eV and 2.780 eV, assigned to the excitons bound to deep neutral acceptors related to the vacancies of Zn (V(Zn)) and complexes of V(Zn), respectively. Another recombination peak at 2.800 eV related to the free exciton emission in ZnSe was also observed. Longitudinal optical-phonon replicas of up to three orders were seen for both lines, and the average number of emitted phonons was also determined. The excitonic emission linewidths of 1.5 meV were observed from individual nanowires, which are the narrowest excitonic linewidths reported so far for ZnSe nanowires. The optical response from a single nanowire was also compared to that from a bundle of nanowires, and it was found that the linewidths of excitonic emission from the bundle of nanowires were slightly larger than those from single nanowires, due to the effects of ensemble broadening. It is also suggested that in the case of a bundle of nanowires, the broadening is limited by the nanowire which exhibits the largest excitonic linewidth.
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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".