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Phase Behavior of Correlated Random Copolymers

[Image: see text] In this work, we calculate Flory–Huggins phase diagrams for correlated random copolymers. We achieve it in two steps. At first, we derive a distribution function of two-letter A, B copolymer chains depending on the fraction of A-segments and AB-duplets. Then, we use the method of m...

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Autores principales: Patyukova, Elena, Xi, Erte, Wilson, Mark R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043079/
https://www.ncbi.nlm.nih.gov/pubmed/33867579
http://dx.doi.org/10.1021/acs.macromol.0c02840
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author Patyukova, Elena
Xi, Erte
Wilson, Mark R.
author_facet Patyukova, Elena
Xi, Erte
Wilson, Mark R.
author_sort Patyukova, Elena
collection PubMed
description [Image: see text] In this work, we calculate Flory–Huggins phase diagrams for correlated random copolymers. We achieve it in two steps. At first, we derive a distribution function of two-letter A, B copolymer chains depending on the fraction of A-segments and AB-duplets. Then, we use the method of moments, which was developed by Sollich and Cates [Phys. Rev. Lett.80, 1998, 1365−1368] for polydisperse systems, to reduce the number of degrees of freedom of the computational problem and calculate phase diagrams. We explore how the location of transition points and composition of coexisting phases depends on the fractions of A-segments and AB-duplets in a sequence and the degree of polymerization. The proposed approach allows taking into account fractionation, which was shown to affect the appearance of the phase diagrams of statistical copolymers.
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spelling pubmed-80430792021-04-14 Phase Behavior of Correlated Random Copolymers Patyukova, Elena Xi, Erte Wilson, Mark R. Macromolecules [Image: see text] In this work, we calculate Flory–Huggins phase diagrams for correlated random copolymers. We achieve it in two steps. At first, we derive a distribution function of two-letter A, B copolymer chains depending on the fraction of A-segments and AB-duplets. Then, we use the method of moments, which was developed by Sollich and Cates [Phys. Rev. Lett.80, 1998, 1365−1368] for polydisperse systems, to reduce the number of degrees of freedom of the computational problem and calculate phase diagrams. We explore how the location of transition points and composition of coexisting phases depends on the fractions of A-segments and AB-duplets in a sequence and the degree of polymerization. The proposed approach allows taking into account fractionation, which was shown to affect the appearance of the phase diagrams of statistical copolymers. American Chemical Society 2021-03-10 2021-03-23 /pmc/articles/PMC8043079/ /pubmed/33867579 http://dx.doi.org/10.1021/acs.macromol.0c02840 Text en © 2021 American Chemical Society Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Patyukova, Elena
Xi, Erte
Wilson, Mark R.
Phase Behavior of Correlated Random Copolymers
title Phase Behavior of Correlated Random Copolymers
title_full Phase Behavior of Correlated Random Copolymers
title_fullStr Phase Behavior of Correlated Random Copolymers
title_full_unstemmed Phase Behavior of Correlated Random Copolymers
title_short Phase Behavior of Correlated Random Copolymers
title_sort phase behavior of correlated random copolymers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043079/
https://www.ncbi.nlm.nih.gov/pubmed/33867579
http://dx.doi.org/10.1021/acs.macromol.0c02840
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