Understanding the Dissolution and Regrowth of Core-Crystalline Block Copolymer Micelles: A Scaling Approach
Bibliographic record
Abstract
Living crystallization-driven self-assembly in solution has proven to be an excellent method to prepare core-crystalline micelles with an exquisite control over their size and morphology. While numerous studies have been performed to test their assembly in various media for potential applications, their stability under different stimuli remains yet to be established. In the present study, we performed light scattering and transmission electron microscopy experiments to investigate the effect of concentration on the self-seeding of core-crystalline one-dimensional (1D) seed crystallites with a long corona forming block. As previously reported, the seed crystallites dissolve much easier at low concentrations than at relatively high concentrations. We also observe that for all concentrations, the micelle width broadens during annealing. To explain these results, we developed a model based on a scaling approach. We show that the growth of ribbon-like core-crystalline micelles depends on the distance between the corona chains grafted on the micelle core, the thickness of the core, and, more surprisingly, on the number of chains constituting the core. This scaling approach also allowed us to explain how the interactions between the corona-forming block and the solvent influence the behavior of the seed crystallites at different annealing temperatures and concentrations. This model should thus prove very useful to understand and predict the effect of different media and stimuli on the size, morphology, and stability of core-crystalline micelles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".