Shear-Induced Conformations of Salt-Free Polyelectrolytes in Semidilute Solutions

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Abstract

We present coarse-grained molecular dynamics simulations of salt-free polyelectrolyte chains in semidilute solutions under simple shear flow, with full hydrodynamic interactions and explicit dipolar solvent. At equilibrium, chain orientation statistics follow a pseudo-Voigt distribution, and the structural correlation length and chain end-to-end vector autocorrelation function exhibit scaling behavior consistent with theoretical predictions for polyelectrolytes. Under shear, chains transition from coiled to stretched states and the end-to-end vector autocorrelation function reveals oscillatory dynamics at high Weissenberg numbers. Analysis of the gyration tensor and shear strain distributions identified three distinct chain populations with directional alignment along and against the shear gradient. Compared with their neutral polymer counterparts, polyelectrolytes exhibit stronger shear thinning and enhanced chain alignment under the same Weissenberg number, which is attributed to electrostatic interactions and shear-induced counterion release. These findings provide molecular insight into the distinct flow response of charged polymers and have implications for tailoring the rheological properties of polyelectrolyte-based materials.

Original languageEnglish
Pages (from-to)933-939
Number of pages7
JournalACS Macro Letters
Volume14
Issue number7
DOIs
StatePublished - Jul 15 2025

Funding

This work was performed at the Center for Nanophase Materials Sciences, a U.S. DOE Office of Science User Facility. Y.W. acknowledges support by the U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences, Early Career Research Program Award KC0402010, under Contract DE-AC05-00OR22725. This research used resources of the Oak Ridge Leadership Computing Facility (OLCF) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. We acknowledge N. Hagerty and E. MacCarthy for their support in running LAMMPS and porting analysis codes to GPUs at OLCF. We also thank M. Goswami and W.-R. Chen for their fruitful discussions.

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