2023
DOI: 10.1021/acs.macromol.3c00854
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Phase Separation and Gelation in Solutions and Blends of Heteroassociative Polymers

Abstract: An equilibrium statistical mechanical theory for the formation of reversible networks in two-component solutions of associative polymers is presented to account for the phase behavior due to hydrogen-bonding, metal−ligand, electrostatic, or other pairwise heterotypic associative interactions. We derive explicit analytical expressions for the binding statistics, gelation condition, and free energy, in which we consider polymers of types A and B with many associating groups per chain and consider only A−B associ… Show more

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Cited by 9 publications
(29 citation statements)
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References 145 publications
(231 reference statements)
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“…We consider a mixture of multifunctional polymers consisting of linear chains with associating groups of type i = A , B (Figure ). The polymers have N i segments of size a and have ideal chain statistics described by the continuous Gaussian chain model. Each chain contains f i stickers separated by spacers with s i = N i /( f i – 1) segments.…”
Section: Theorymentioning
confidence: 99%
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“…We consider a mixture of multifunctional polymers consisting of linear chains with associating groups of type i = A , B (Figure ). The polymers have N i segments of size a and have ideal chain statistics described by the continuous Gaussian chain model. Each chain contains f i stickers separated by spacers with s i = N i /( f i – 1) segments.…”
Section: Theorymentioning
confidence: 99%
“…We assert in this analysis that v , w , and χ AB are not directly affected by the presence of cross-links and that the solvent is of equal quality for both A and B (i.e., v A = v B ≡ v and w A = w B ≡ w ). For simplicity and consistency with ref , we will set v = 0 and w = 1 to approximate Θ-solvent or nearly incompressible melt conditions. However, it should be noted that other choices for v and w are allowed in this framework and might be more suitable for compressible melts as in the Helfand description.…”
Section: Theorymentioning
confidence: 99%
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