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Asymmetry in Polymer-Solvent Interactions Yields Complex Thermoresponsive Behavior.
Dhamankar, Satyen; Webb, Michael A.
Affiliation
  • Dhamankar S; Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
  • Webb MA; Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States.
ACS Macro Lett ; 13(7): 818-825, 2024 Jul 16.
Article in En | MEDLINE | ID: mdl-38874369
ABSTRACT
We introduce a lattice framework that incorporates elements of Flory-Huggins solution theory and the q-state Potts model to study the phase behavior of polymer solutions and single-chain conformational characteristics. Without empirically introducing temperature-dependent interaction parameters, standard Flory-Huggins theory describes systems that are either homogeneous across temperatures or exhibit upper critical solution temperatures. The proposed Flory-Huggins-Potts framework extends these capabilities by predicting lower critical solution temperatures, miscibility loops, and hourglass-shaped spinodal curves. We particularly show that including orientation-dependent interactions, specifically between monomer segments and solvent particles, is alone sufficient to observe such phase behavior. Signatures of emergent phase behavior are found in single-chain Monte Carlo simulations, which display heating- and cooling-induced coil-globule transitions linked to energy fluctuations. The framework also capably describes a range of experimental systems. Importantly, and by contrast to many prior theoretical approaches, the framework does not employ any temperature- or composition-dependent parameters. This work provides new insights regarding the microscopic physics that underpin complex thermoresponsive behavior in polymers.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Macro Lett Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ACS Macro Lett Year: 2024 Document type: Article