Fiberlike Structures from the Self-Assembly of a Highly Asymmetric Poly(ferrocenyldimethylsilane-<i>b</i>-dimethylsiloxane) in Dilute Solution
Bibliographic record
Abstract
Highly asymmetric block copolymers normally form starlike polymeric micelles when dissolved in a solvent selective for the longer block. Here we report the unexpected formation of tubelike structures in hexane and in decane from the self-assembly of a highly asymmetric poly(ferrocenyldimethylsilane- b -dimethylsiloxane), PFS 54 - b -PDMS 945 . Hexane and decane are good solvents for PDMS but nonsolvents for the crystalline PFS. By transmission electron microscopy, we observe that the polymers form transient structures that evolve into tubular structures with a diameter of approximately 25−26 nm, a wall thickness of ca. 7 nm, and lengths reaching more than 100 μm. In decane above the melting temperature of PFS, the system forms normal starlike micelles. Upon cooling, these micelles become trapped in a metastable state that aggregates. While long fiberlike structures form eventually at 23 °C from these aggregates, they never reach the equilibrium morphology obtained at 23 °C in hexane or at 61 °C in decane. We also monitored the growth of these aggregates in hexane by dynamic light scattering. The solution initially prepared at 23 °C appears to consist only of individual free molecules. Some of these associate over tens of minutes to form a few large tubular structures. It takes a period of tens of hours for the entire sample to become incorporated into these structures.
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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".