Toward Uniform Nanofibers with a π-Conjugated Core: Optimizing the “Living” Crystallization-Driven Self-Assembly of Diblock Copolymers with a Poly(3-octylthiophene) Core-Forming Block
Bibliographic record
Abstract
Crystalline poly(3-alkylthiophene) (P3AT) nanofibers are promising materials for a myriad of device applications, but nanofiber length control and colloidal stability are difficult to achieve. We report an in-depth study of the solution self-assembly of regioregular poly(3-octylthiophene)- b -poly(dimethylsiloxane) (P3OT- b -PDMS) diblock copolymers with a crystallizable π-conjugated core-forming block. Use of the “living” crystallization-driven self-assembly (CDSA) seeded-growth method in solvents selective for PDMS allowed access to relatively low length dispersity, colloidally stable P3OT- b -PDMS fiber-like micelles with a crystalline, tape-like P3OT core, a PDMS corona, and lengths up to ca. 600 nm under optimized conditions. Significantly, the presence of a small percentage of common solvent and the use of slightly elevated temperature (35 °C) were found to enhance the length control. Analogous studies for P3OT- b -PS (PS = polystyrene) suggest that solvent composition and temperature represent key parameters for the general optimization of fiber formation by living CDSA for P3AT block copolymers.
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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".