Issue 14, 2024

Self-assembly of rod–coil–rod block copolymers in a coil-selective solvent: coarse-grained simulation results

Abstract

The solution self-assembly of amphiphilic polymers provides a versatile approach to design novel nanostructured materials. Multiblock polymers, particularly those composed of liquid crystalline and coil blocks, are of significant interest due to the potential display of nematic ordering in liquid crystalline domains, offering intriguing optical and mechanical properties. In this study, dissipative particle dynamics is used to investigate the solution self-assembly of rod–coil–rod copolymers in a coil-selective solvent. Extensive molecular simulations were conducted to elucidate the impact of polymer composition, concentration and flexibility on the self-assembly behavior. A quantitative analysis was performed to investigate how polymer conformations varied with changes in composition, concentration, and rigidity. Simulation results show that, at small rod compositions, rod–coil–rod polymers self-assemble into micelles at low concentrations, transitioning to network formation as concentration increases. An increase in rod composition leads to the formation of larger aggregates, resulting in cylindrical micelles and membranes. The results reported here also offer insights into the role of flexibility in shaping the self-assembly behavior of rod–coil–rod triblocks in selective solvents, thus, contributing to a comprehensive understanding of the factors governing the formation of diverse structures in the solution self-assembly of triblock copolymers.

Graphical abstract: Self-assembly of rod–coil–rod block copolymers in a coil-selective solvent: coarse-grained simulation results

Supplementary files

Article information

Article type
Paper
Submitted
25 Feb 2024
Accepted
08 Mar 2024
First published
11 Mar 2024

Soft Matter, 2024,20, 3131-3142

Self-assembly of rod–coil–rod block copolymers in a coil-selective solvent: coarse-grained simulation results

C. Toujani, L. A. Padilla, N. Alhraki, S. Hur and A. Ramírez-Hernández, Soft Matter, 2024, 20, 3131 DOI: 10.1039/D4SM00251B

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