Solid-State NMR Investigation of Morphology in Poly(<i>N</i>-vinylcarbazole) Complexes with Poly(ethylene glycol) Monomethyl Ether 3,5-Dinitrobenzoate
Bibliographic record
Abstract
Interactions and morphology were investigated by solid-state NMR in macromolecular charge transfer (CT) complexes formed between poly( N -vinylcarbazole) (PVK) and a surfactant consisting of a monomethyl ether poly(ethylene glycol) (PEG) oligomer functionalized at one end with a 3,5-dinitrobenzoyl (DNB) group. 13 C CP MAS NMR spectra indicated that in the PVK/PEG−DNB complexes containing 33.1 and 50.0 mol % PEG−DNB, the PEG chains undergo microphase separation. The balance between the PVK/DNB CT interactions and the repulsion between the PVK backbone and the PEG side chains produces comblike structures similar to those observed in polyelectrolyte/surfactant complexes. The size of the domains in these microphase-separated comblike CT complexes was evaluated on the basis of proton spin−lattice relaxation time in the rotating frame [ T 1 ρ (H)] and spin diffusion data. Assuming a lamellar morphology, the PEG microdomain is about 3 nm thick. The size of the PVK/DNB microdomains was estimated at about 5 nm, suggesting that the PVK chains must be oriented perpendicular to the direction of the domain thickness, in the layer plane, the layer thickness being given by about two to three PVK chains.
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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".