Overcoming Kinetic Trapping for Morphology Evolution during Polymerization‐Induced Self‐Assembly
Bibliographic record
Abstract
Polymerization-induced self-assembly (PISA) is a powerful technique to synthesize assemblies with various morphologies. However, PISA mediated by long, stabilizing chains usually produces kinetically trapped spheres; thus, the morphology evolution remains a challenge. Here, a convenient and general strategy for facilitating the morphological evolution by the copolymerization of solvophilic monomers is reported. With the incorporation of only 7% (molar ratio) solvophilic 3-(triethoxysilyl)propyl methacrylate (TESPMA) into poly(N,N-dimethylaminoethyl methacrylate)-b-poly(benzyl methacrylate) (PDMA-b-PBzMA) spheres, PDMA-b-P(BzMA-co-TESPMA) assemblies evolve from spheres to worms, octopi-like and jellyfish-like structures, vesicles, and large compound vesicles. This non-specific effect is further confirmed by the copolymerization of BzMA with other solvophilic monomers, including N,N-dimethylaminoethyl methacrylate (DMA), N,N-diethylaminoethyl methacrylate (DEA), and 2-hydroxypropyl methacrylate (HPMA). This work provides a convenient approach to promote morphology evolution and develops the formulations design of PISA.
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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".