Uniform Rectangular Conjugated Polymer Platelet Micelles via One-Step Crystallization-Driven Nucleation–Growth
Bibliographic record
Abstract
Semiconducting organic nanocrystals derived from the self-assembly of conjugated polymers hold great promise for optoelectronic applications. However, fabrication of these semiconductors with high uniformity and extended dimensions remains a major challenge due to tedious multistep procedures for size control and the formidable task of attaining crystal growth oriented perpendicularly to the π–π stacking direction. Here, we present a straightforward strategy for the preparation of uniform rectangular platelet micelles with tunable size through a single-step heating–cooling–aging protocol from conjugated poly(di- n -hexylfluorene) (PDHF) block copolymers (BCPs). The nucleation and growth stages are dramatically separated during the cooling process, wherein BCPs with longer PDHF blocks spontaneously serve as in situ nuclei and induce controllable epitaxial growth, yielding uniform two-dimensional (2D) morphologies. The crystalline core structure is long-range ordered, synchronously constructed by pitched π – π stacking in the length-growth direction and solvophobic alkyl stacking in the width-growth direction. The platelet dimensions spanning ∼30,000–800,000 nm 2 can be controlled by adjusting the mixed solvent ratio. Furthermore, the universality of this one-step strategy for size-controllable platelets is affirmed by BCPs with varying corona–core block ratios (0.20–0.86) and different corona-forming chains (e.g., quaternized polythiophene (QPT) and polyfluorene (QPF)). Interestingly, complex concentric segmented structures are accessible through the one-pot self-assembly of two PDHF BCPs, whose growth rate and sequence are manipulated by differences in PDHF block lengths (17 versus 14) and block ratios (0.12 versus 0.71). This enables the customization of a facile energy funneling pathway within the integrated structures from the peripheral, crystalline PDHF core to the central, lower-energy QPT corona.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".