Synthesis and Bulk Self-Assembly of Well-Defined Binary Graft Copolymers
Bibliographic record
Abstract
Six binary graft copolymers were synthesized, and their graft segregation in bulk was investigated. The copolymers were prepared by a one-pot method involving the quantitative grafting of alkyne-end-functionalized poly( n -butyl acrylate) (PBA-C≡CH) and poly(2-cinnamoyloxyethyl methacrylate) (PCEMA-C≡CH) onto poly(3-azide-2-hydroxypropyl methacrylate) (P(GMA-N 3 )) via click chemistry. Of these copolymers, three had a total PBA and PCEMA molar grafting density g of ∼20%, and their PBA volume fractions V B among PBA and PCEMA varied between 28% and 57%. V B was constant at ∼57%, while g varied between 9.8% and 29.5% for the other three samples. Bulk films were obtained by slowly evaporating the solvent from cast solutions of these copolymers. These films were then annealed above the glass transition temperatures of PBA and PCEMA to facilitate graft segregation. The graft segregation patterns were examined by performing transmission electron microscopy (TEM) analysis of thin sections of these films. The TEM results suggested that the grafted PBA chains formed a disordered wormlike phase in a PCEMA matrix at V B = 28%. At V B = 42% and 57%, PBA and PCEMA seemed to form alternating lamellae. In the former case, the PBA layers were thinner than the PCEMA layers, while the PBA layers were thinner in the latter case. All three samples with V B ∼ 57% probably possessed a lamellar morphology. The periodicity of the lamellae increased and the long-range ordering deteriorated as g increased.
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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) | 0.001 | 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 | 0.001 |
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".