One-Step Synthesis of High-Quality Gradient CdHgTe Nanocrystals: A Prerequisite to Prepare CdHgTe−Polymer Bulk Composites with Intense Near-Infrared Photoluminescence
Bibliographic record
Abstract
We have demonstrated an efficient method to prepare high-quality CdHgTe alloyed nanocrystals (NCs) by making use of a large difference in the solubility between CdTe and HgTe in aqueous medium. The resultant NCs show a gradient quasi “core/shell” structure in which the “core” is rich in HgTe and the “shell” is rich in CdTe. This unique structure makes the photoluminescence (PL) quantum yield (QY) of CdHgTe NCs up to 45% and remarkably improves their stability. The excellent stability of CdHgTe NCs allows for the successful preparation of NC-polymer bulk composites with intense PL in the near-infrared spectral region (tunable from 1100 to 1400 nm) upon excitation at 550 nm. Not only is the difficulty of preparing the CdHgTe NC−polymer bulk composites overcome, but also the composites show excellent thermal and luminescent stabilities, which is of importance for their future applications.
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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 | 0.001 |
| 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".