Impact of Conformational and Chemical Correlations on Microphase Segregation in Random Copolymers
| Autor: | Shifan Mao, Steve S. He, Andrew J. Spakowitz, Elyse Coletta, Quinn MacPherson |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
chemistry.chemical_classification
Work (thermodynamics) Materials science Polymers and Plastics Organic Chemistry 02 engineering and technology Polymer 010402 general chemistry 021001 nanoscience & nanotechnology Random walk 01 natural sciences 0104 chemical sciences Inorganic Chemistry chemistry.chemical_compound Monomer chemistry Chemical physics Phase (matter) Polymer chemistry Materials Chemistry Kuhn length Copolymer 0210 nano-technology Random phase approximation |
| Zdroj: | Macromolecules. 49:4358-4368 |
| ISSN: | 1520-5835 0024-9297 |
| DOI: | 10.1021/acs.macromol.5b02639 |
| Popis: | Random copolymers play an important role in a range of soft materials applications and biological phenomena. An individual monomer is typically a single chemical unit whose length is comparable to or less than a Kuhn length, resulting in a monomer segment that is structurally rigid at length scales of a segregated domain. Previous work on random copolymer phase segregation addresses the impact of correlations between the chemical identities along the chains for flexible polymers. In these works, a single monomer unit is effectively a large polymer block that behaves as a random walk without conformational correlation associated with semiflexibility. In our work, we develop a model of semiflexible random copolymers using the wormlike chain model to capture conformational correlation of the polymer chains. To address the thermodynamics of microphase segregation and the structure of the segregated domains, we develop a random phase approximation up to quartic order in density fluctuations that leverages our ... |
| Databáze: | OpenAIRE |
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