Characterization of ZnE (E = S, Se, or Te) Materials Synthesized Using Silylated Chalcogen Reagents in Mesoporous MCM-41
Bibliographic record
Abstract
The binary materials ZnS, ZnSe, and ZnTe have been successfully prepared within the mesoporous framework of MCM-41 at room temperature through the use of silylated chalcogen reagents. Postsynthesis grafting of ethylenediamine facilitates the complexation of anhydrous zinc acetate to the pore surface via a ligand exchange process between monodentate 3,5-lutidine ligands and the anchored chelating moiety. Coordinated zinc acetate readily reacts with E(SiMe(3))(2) (E = S, Se, or Te), thereby encapsulating zinc chalcogenides in the mesoporous channels. ZnE-MCM-41 materials have been characterized by EDX analysis, nitrogen sorption analysis, and Raman, UV-vis, and solid-state NMR spectroscopy. The observed blue shift in the absorption maximum is in agreement with the expected quantum confinement of these materials given the nanometer dimensions of the mesoporous architecture of the silicate host.
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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) | 0.001 | 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".