Engineering of CdTe Multicore in ZnO Nanoshell as a New Charge-Transfer Material
Bibliographic record
Abstract
The synthesis and spectroscopic properties of multicore cadmium telluride (CdTe) quantum dots–zinc oxide (ZnO) shell nanoparticles (mc-CdTe@ZnO) as a new charge transfer material are presented. This colloidal system is easy to process, suitable for large scale production, and adaptable to be used in different solvents. The fabrication process employed a water-in-oil (w/o) reverse microemulsion of Triton X-100/hexanol/cyclohexane. Fluorescence and lifetime measurements for different sizes of CdTe quantum dots and their respective mc-CdTe@ZnO nanoparticles were acquired. Charge injection from CdTe multicores to the ZnO shell was confirmed by pump–probe transient absorption experiments. The presence of multicores increases the net interfacial interaction between CdTe and ZnO when compared to a structure with a single quantum dot core. The mc-CdTe@ZnO particles displayed electron-transfer rates as high as 10 12 s –1, a value in the high-end of those reported in the literature for other type II semiconductor composites. Hydrogen production experiments further confirmed the establishment of a type II junction between the CdTe multicore and the ZnO shell.
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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".