Morphological Control <i>via</i> Chemical and Shear Forces in Block Copolymer Self-Assembly in the Lab-on-Chip
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Bibliographic record
Abstract
We investigate the effects of variation in chemical conditions (solvent composition, water content, polymer concentration, and added salt) on the morphologies formed by PS-b-PAA in DMF/dioxane/water mixtures in a two-phase gas-liquid segmented microfluidic reactor. The differences in morphologies between off-chip and on-chip self-assembly and on-chip morphological trends for different chemical conditions are explained by the interplay of top-down shear effects (coalescence and breakup) and bottom-up chemical forces. Using off-chip morphology results, we construct a water content-solvent composition phase diagram showing disordered, sphere, cylinder, and vesicle regions. On-chip morphologies are found to deviate from off-chip morphologies by three identified shear-induced paths: 1) sphere-to-cylinder, and 2) sphere-to-vesicle transitions, both via shear-induced coalescence when initial micelle sizes are small, and 3) cylinder-to-sphere transitions via shear-induced breakup when initial micelle sizes are large (high capillary number conditions). These pathways contribute to the generation of large extended bilayer aggregates uniquely on-chip, at either increased polymer or salt concentrations. Collectively these results demonstrate the broad utility of top-down directed molecular self-assembly in conjunction with chemical forces to control morphology and size of polymer colloids at the nanoscale.
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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 it