Literature DB >> 29144758

On the Density Dependence of the Integral Equation Coarse-Graining Effective Potential.

Mohammadhasan Dinpajooh1, Marina G Guenza1.   

Abstract

Coarse-graining (CG) procedures provide computationally efficient methods for investigating the corresponding long time- and length-scale processes. In the bottom-up approaches, the effective interactions between the CG sites are obtained using the information from the atomistic simulations, but reliable CG procedures are required to preserve the structure and thermodynamics. In this regard, the integral equation coarse-graining (IECG) method is a promising approach that uses the first-principles Ornstein-Zernike equation in liquid state theory to determine the effective potential between CG sites. In this work, we present the details of the IECG method while treating the density as an intrinsic property and active variable of the CG system. Performing extensive simulations of polymer melts, we show that the IECG theory/simulation and atomistic simulation results are consistent in structural properties such as the pair-correlation functions and form factors, and also thermodynamic properties such as pressure. The atomistic simulations of the liquids show that the structure is largely sensitive to the repulsive part of the potential. Similarly, the IECG simulations of polymeric liquids show that the structure can be determined by the relatively short-range CG repulsive interactions, but the pressure is only accurately determined once the long-range, weak CG attractive interactions are included. This is in agreement with the seminal work by Widom on the influence of the potential on the phase diagram of the liquid [Widom, B. Science 1967 , 157 , 375 - 382 ]. Other aspects of the IECG theory/simulations are also discussed.

Entities:  

Year:  2017        PMID: 29144758     DOI: 10.1021/acs.jpcb.7b10494

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  4 in total

1.  Energy Renormalization for Coarse-Graining the Dynamics of a Model Glass-Forming Liquid.

Authors:  Wenjie Xia; Jake Song; Nitin K Hansoge; Frederick R Phelan; Sinan Keten; Jack F Douglas
Journal:  J Phys Chem B       Date:  2018-02-05       Impact factor: 2.991

2.  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

3.  Generation of dynamic three-dimensional genome structure through phase separation of chromatin.

Authors:  Shin Fujishiro; Masaki Sasai
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-26       Impact factor: 12.779

4.  Anomalous Dynamics in Macromolecular Liquids.

Authors:  Marina G Guenza
Journal:  Polymers (Basel)       Date:  2022-02-22       Impact factor: 4.329

  4 in total

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