Literature DB >> 28535348

Coarse-Grained Modeling of Polyethylene Melts: Effect on Dynamics.

Brandon L Peters1, K Michael Salerno2, Anupriya Agrawal3, Dvora Perahia4, Gary S Grest1.   

Abstract

The distinctive viscoelastic behavior of polymers results from a coupled interplay of motion on multiple length and time scales. Capturing the broad time and length scales of polymer motion remains a challenge. Using polyethylene (PE) as a model macromolecule, we construct coarse-grained (CG) models of PE with three to six methyl groups per CG bead and probe two critical aspects of the technique: pressure corrections required after iterative Boltzmann inversion (IBI) to generate CG potentials that match the pressure of reference fully atomistic melt simulations and the transferability of CG potentials across temperatures. While IBI produces nonbonded pair potentials that give excellent agreement between the atomistic and CG pair correlation functions, the resulting pressure for the CG models is large compared with the pressure of the atomistic system. We find that correcting the potential to match the reference pressure leads to nonbonded interactions with much deeper minima and slightly smaller effective bead diameter. However, simulations with potentials generated by IBI and pressure-corrected IBI result in similar mean-square displacements (MSDs) and stress autocorrelation functions G(t) for PE melts. While the time rescaling factor required to match CG and atomistic models is the same for pressure- and non-pressure-corrected CG models, it strongly depends on temperature. Transferability was investigated by comparing the MSDs and stress autocorrelation functions for potentials developed at different temperatures.

Entities:  

Year:  2017        PMID: 28535348     DOI: 10.1021/acs.jctc.7b00241

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  2 in total

1.  Effectiveness of coarse graining degree and speedup on the dynamic properties of homopolymer.

Authors:  Lijuan Liao; Changyu Meng; Chenguang Huang
Journal:  J Mol Model       Date:  2021-01-28       Impact factor: 1.810

2.  Inverse Boltzmann Iterative Multi-Scale Molecular Dynamics Study between Carbon Nanotubes and Amino Acids.

Authors:  Wanying Huang; Xinwen Ou; Junyan Luo
Journal:  Molecules       Date:  2022-04-27       Impact factor: 4.927

  2 in total

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