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Intra- and Inter-chain Pair Correlation Functions of Polymeric Fluids: A Comparison of Self-Consistent Polymer Reference Interaction Site Model and Polymer Density-Functional Theories

ORAL

Abstract

The structure of a polymeric fluid is usually characterized by the intra- and inter-chain pair correlation functions (PCFs), which can be used to determine both the thermodynamic and dynamic properties. Few theories, however, are available to predict such microscopic structures, which require that the segment-segment correlation effects be explicitly taken into account. In the well-developed self-consistent polymer reference interaction site model (SC-PRISM) (Heine et al., Adv. Polym. Sci. 173, 209, 2005), the inter-chain PCFs are approximated by an intra-chain solvation pair potential, thus allowing its prediction of the intra- and inter-chain PCFs. On the other hand, Yu and Wu proposed an extended test-particle method (J. Chem. Phys. 118, 3835, 2003), enabling prediction of these quantities using polymer density-functional theories (PDFTs). Here we directly compare the intra- and inter-chain PCFs predicted by various versions of PDFTs and SC-PRISM calculations with those obtained from Monte Carlo simulations. A simple model system of tangent hard-sphere chains allows us to unambiguously quantify the accuracy of these predictions as a function of the chain length and hard-sphere packing density.

Presenters

  • Yan Wang

    Colorado State University

Authors

  • Yan Wang

    Colorado State University

  • Jiawei Zhang

    School of Physics, Nankai University, Physics, Nakai University

  • Suyu Wang

    Physics, Nakai University

  • Jianzhong Wu

    University of California, Riverside, Chemical Engineering, University of California

  • Qiang Wang

    School of Advanced Materials Discovery, and School of Biomedical Engineering Colorado State University, Colorado State University, School of Advanced Material Discovery, and School of Biological Engineering Colorado State University, Chemical and Biological Engineering, Colorado State University, Department of Chemical and Biological Engineering, School of Advaced Materials Discovery, and School of Biomedical Engineering, colorado state university