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Morphological transformations of diblock copolymers in binary solvents: A simulation study |
Zheng Wang, Yuhua Yin, Run Jiang, Baohui Li( ) |
| School of Physics, Key Laboratory of Functional Polymer Materials of Ministry of Education, Nankai University, and Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300071, China |
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Abstract Morphological transformations of amphiphilic AB diblock copolymers in mixtures of a common solvent (S1) and a selective solvent (S2) for the B block are studied using the simulated annealing method. We focus on the morphological transformation depending on the fraction of the selective solvent CS2, the concentration of the polymer Cp, and the polymer–solvent interactions εij (i = A, B; j = S1, S2). Morphology diagrams are constructed as functions of Cp, CS2, and/or εAS2. The copolymer morphological sequence from dissolved→sphere→rod→ring/cage→vesicle is obtained upon increasing CS2 at a fixed Cp. This morphology sequence is consistent with previous experimental observations. It is found that the selectivity of the selective solvent affects the self-assembled microstructure significantly. In particular, when the interaction εBS2 is negative, aggregates of stacked lamellae dominate the diagram. The mechanisms of aggregate transformation and the formation of stacked lamellar aggregates are discussed by analyzing variations of the average contact numbers of the A or B monomers with monomers and with molecules of the two types of solvent, as well as the mean square end-to-end distances of chains. It is found that the basic morphological sequence of spheres to rods to vesicles and the stacked lamellar aggregates result from competition between the interfacial energy and the chain conformational entropy. Analysis of the vesicle structure reveals that the vesicle size increases with increasing Cp or with decreasing CS2, but remains almost unchanged with variations in εAS2.
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| Keywords
self-assembly
diblock copolymers
binary solvents
morphological transformation
simulated annealing
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Corresponding Author(s):
Baohui Li
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Issue Date: 13 April 2017
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