Vesicular Nanostructures Prepared by Reactive Melt Blending We are grateful to the Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles for general support in the frame of “PAI 4-11: Supramolecular Chemistry and Supramolecular Catalysis”. We are grateful to Sunil K. Varshney (Polymer Source Inc., Canada) for training and advice in anionic polymerization and to Mrs. Martine Dejeneffe for ultramicrotomy at low temperature. Dr. Koen Janssen and Mai Quaedflieg from DSM Research (Geleen, The Netherlands) are acknowledged for making the mini-extruder available to us. C.K. is a Research Fellow of the “Fonds National de la Recherche Scienctifique” (FNRS, Belgium).
Bibliographic record
Abstract
A three-layer substructure morphology is found in the vesicular nanostructures formed (see transmission electron micrograph) upon melt blending of polyamide 12 (PA12) with a symmetric polystyrene-b-polyisoprene (PS-b-PIP) copolymer end-capped by an anhydride group. However, macrophase separation occurs when the diblock is unreactive.
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 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 | 0.001 |
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".