Literature DB >> 25662666

Systematic and simulation-free coarse graining of homopolymer melts: a structure-based study.

Delian Yang1, Qiang Wang1.   

Abstract

We propose a systematic and simulation-free strategy for coarse graining of homopolymer melts, where each chain of Nm monomers is uniformly divided into N segments, with the spatial position of each segment corresponding to the center-of-mass of its monomers. We use integral-equation theories suitable for the study of equilibrium properties of polymers, instead of many-chain molecular simulations, to obtain the structural and thermodynamic properties of both original and coarse-grained (CG) systems, and quantitatively examine how the effective pair potentials between CG segments and the thermodynamic properties of CG systems vary with N. Our systematic and simulation-free strategy is much faster than those using many-chain simulations, thus effectively solving the transferability problem in coarse graining, and provides the quantitative basis for choosing the appropriate N-values. It also avoids the problems caused by finite-size effects and statistical uncertainties in many-chain simulations. Taking the simple hard-core Gaussian thread model [K. S. Schweizer and J. G. Curro, Chem. Phys. 149, 105 (1990)] as the original system, we demonstrate our strategy applied to structure-based coarse graining, which is quite general and versatile, and compare in detail the various integral-equation theories and closures for coarse graining. Our numerical results show that the effective CG potentials for various N and closures can be collapsed approximately onto the same curve, and that structure-based coarse graining cannot give thermodynamic consistency between original and CG systems at any N < Nm.

Entities:  

Year:  2015        PMID: 25662666     DOI: 10.1063/1.4906493

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  1 in total

1.  pyPRISM: A Computational Tool for Liquid-State Theory Calculations of Macromolecular Materials.

Authors:  Tyler B Martin; Thomas E Gartner; Ronald L Jones; Chad R Snyder; Arthi Jayaraman
Journal:  Macromolecules       Date:  2018       Impact factor: 5.985

  1 in total

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