Electrospinning of 1D Fiber‐Like Block Copolymer Micelles with a Crystalline Core
Bibliographic record
Abstract
Abstract Electrospinning is a simple, low‐cost, and high throughput technique that allows for the processing of polymers into fibers. The process can be controlled to allow access for well‐defined continuous fibers that are of interest for a wide range of applications including as tissue scaffolds, as nanowires in optoelectronic devices, and in catalysis. Conventional electrospinning processes use polymer solutions with high molecular weights. Here, the electrospinning of 1D fiber‐like block copolymer micelles containing a crystalline core is reported. The successfully accessed core‐shell microfibers in which 1D micelles containing a crystalline poly(ferrocenyldimethylsilane) (PFS) core are immobilized on a polystyrene microfiber via coaxial electrospinning. Furthermore, efforts to extend this approach to the use of 1D micelles comprising of a crystalline, π‐conjugated poly(di‐n‐hexylfluorene) (PDHF) core are described. Electrospinning is also successfully used to prepare microfibers consisting solely of 1D micelles with a PFS crystalline core, the first examples where a template material is not required.
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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".