Controlled Solvothermal Routes to Hierarchical 3D Superparticles of Nanoscopic CdS
Bibliographic record
Abstract
Micrometer-sized superparticles, self-assembled from metallic or semiconducting nanoclusters, can be used as convenient building blocks for preparing functional materials, utilizing the electronic and optical properties resulting from the quantum confinement as well as from the coupling between nanoscopic constituents. Herein, we describe a facile route to prepare crystalline, cubic superparticles of monodisperse nanoclusters of CdS 1.9 nm in size by means of the thermally induced conversion of the readily prepared cadmium thiophenolate complex (Me 4 N) 2 [Cd(SPh) 4 ]. Furthermore, we illustrate the effects that additional quaternary ammonium salts can have on the size and dispersity of the nanoclusters formed and on the nature of their self-assembly into secondary structures, with the preparation and characterization of spherical superparticles of CdS, composed of individual nanoclusters 2.3 nm in size. Details on the formation, structural characterization (via powder and single crystal X-ray diffraction, HRTEM, STEM, and SEM), and optical properties of these hierarchical assemblies and their constituents are described.
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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) | 0.002 | 0.001 |
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".