Ionomer Self-Assembly in Dilute Solution Studied by Coarse-Grained Molecular Dynamics
Bibliographic record
Abstract
Coarse-grained molecular dynamics simulations, reported in this article, elucidate the self-assembly of semiflexible ionomer molecules into cylindrical bundle-like aggregates. Ionomer chains are composed of hydrophobic backbones, grafted with pendant side chains that are terminated by anionic headgroups. Bundles have a core of backbones surrounded by a surface layer of charged anionic headgroups and a diffuse halo of counterions. Parametric studies of bundle properties unravel the interplay of backbone hydrophobicity, strength of electrostatic interactions between charged moieties, side chain content, and counterion valence: expectedly, the size of bundles increases with backbone hydrophobicity; the aggregate size depends nonmonotonically on the Bjerrum length; increasing the grafting density of pendant side chains results in smaller bundles; and the counterion valence exerts a strong effect on bundle size and counterion localization in the near-bundle region. Results reveal how the ionomer architecture and solvent properties influence the ionomer aggregation and associated electrostatic and mechanical bundle properties. These properties of ionomer aggregates are vital for rationalizing the water sorption behavior and transport phenomena as well as the chemical and mechanical stability of ionomer membranes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".