2022
DOI: 10.1021/acs.macromol.2c01280
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Co-nonsolvency Transition in Polymer Solutions: A Simulation Study

Abstract: We study the phase segregation in polymer solutions in the presence of a co-nonsolvent (CNS) using molecular dynamics simulations, where CNS particles are a preferential solvent for the polymers. To investigate the condensation transition, we use a movable wall that exerts an osmotic pressure on the polymers but is permeable with respect to the CNS. We focus on the semidilute state of the polymer solution in the absence of CNS. Increasing the amount of CNS results in a condensation of the polymer−CNS phase, wh… Show more

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Cited by 2 publications
(3 citation statements)
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“…Further, using eq , we obtain ϕ A,c u ≈ 0.432, ϕ B,c u ≈ 0.568 and ϕ A,c u = 0.333, ϕ B,c u ≈ 0.667 at the upper critical point in the limit of N → ∞ for the two parameter sets in Figure a,b, respectively. Finally, we note that the critical behaviors obtained here are rather different from those predicted by the adsorption–attraction model. ,, Specifically, the adsorption–attraction model predicts a type-II phase transition that arises from the negative third virial coefficient but with the second virial coefficient being positive.…”
Section: Resultscontrasting
confidence: 71%
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“…Further, using eq , we obtain ϕ A,c u ≈ 0.432, ϕ B,c u ≈ 0.568 and ϕ A,c u = 0.333, ϕ B,c u ≈ 0.667 at the upper critical point in the limit of N → ∞ for the two parameter sets in Figure a,b, respectively. Finally, we note that the critical behaviors obtained here are rather different from those predicted by the adsorption–attraction model. ,, Specifically, the adsorption–attraction model predicts a type-II phase transition that arises from the negative third virial coefficient but with the second virial coefficient being positive.…”
Section: Resultscontrasting
confidence: 71%
“…Finally, we note that the critical behaviors obtained here are rather different from those predicted by the adsorption−attraction model. 36,38,41 Specifically, the adsorption−attraction model predicts a type-II phase transition 68 that arises from the negative third virial coefficient but with the second virial coefficient being positive.…”
Section: Effect Of Chain Length Nmentioning
confidence: 99%
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