Literature DB >> 28831730

Re-examining the procedure for simulating polymer Tg using molecular dynamics.

Chaofu Wu1,2.   

Abstract

In this work, the poly(ethylene oxide) bulk as one example has been iteratively heated and cooled back using MD simulations to examine the effects of thermal history on the resulting Tg. It is demonstrated that, after the system is equilibrated once at the high temperatures, the simulated Tg does not exhibit a systematical shift with the thermal history, and the averaged Tg compares well with that for the single procedure, that is, adequately equilibrating at the highest temperature and cooling with the same rate to the lowest temperature. Additionally, the continuous and stepwise processes lead to almost identical Tg, density and volumetric expansive coefficients at both the glassy and rubbery states at 300 K and 1 atm. However, these results would somewhat vary with what (volume or density) are used and how to yield them. Furthermore, the stepwise processes allow one to obtain the time-dependent dynamical Tg values from the reorientation functions of the monomer vectors, which suggest greater differences within longer observation time. This work rationalizes the "golden standard" procedure to simulate polymer Tg using the MD method, and provides some key clues to obtain the reliable results (specially for comparisons). Graphical abstract The extensive molecular dynamics simulations show that the glass transition temperature (Tg) values obtained from volumetric (vol.) or density (den.) data do not exhibit a systematic shift with the thermal history (Proc.) whereas the Tg values obtained from dynamical (dyn.) data decrease and exhibit greater difference with increasing the observation time (t*).

Entities:  

Keywords:  Glass transition temperatures; Molecular dynamics simulations; Poly(ethylene oxide)

Year:  2017        PMID: 28831730     DOI: 10.1007/s00894-017-3439-0

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  9 in total

1.  Molecular weight dependence of reductions in the glass transition temperature of thin, freely standing polymer films.

Authors:  K Dalnoki-Veress; J A Forrest; C Murray; C Gigault; J R Dutcher
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-02-20

2.  GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation.

Authors:  Berk Hess; Carsten Kutzner; David van der Spoel; Erik Lindahl
Journal:  J Chem Theory Comput       Date:  2008-03       Impact factor: 6.006

3.  GROMACS: fast, flexible, and free.

Authors:  David Van Der Spoel; Erik Lindahl; Berk Hess; Gerrit Groenhof; Alan E Mark; Herman J C Berendsen
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

4.  Thermal properties of bulk polyimides: insights from computer modeling versus experiment.

Authors:  Sergey V Lyulin; Sergey V Larin; Andrey A Gurtovenko; Victor M Nazarychev; Stanislav G Falkovich; Vladimir E Yudin; Valentin M Svetlichnyi; Iosif V Gofman; Alexey V Lyulin
Journal:  Soft Matter       Date:  2014-02-28       Impact factor: 3.679

5.  Atomistic Molecular Insight into the Time Dependence of Polymer Glass Transition.

Authors:  Rongliang Wu; Xinlong Qiu; Tianyi Zhang; Kangyu Fu; Xiaozhen Yang
Journal:  J Phys Chem B       Date:  2015-07-20       Impact factor: 2.991

6.  Simulated glass transition of poly(ethylene oxide) bulk and film: a comparative study.

Authors:  Chaofu Wu
Journal:  J Phys Chem B       Date:  2011-09-02       Impact factor: 2.991

7.  Nanoconfinement effects on the fragility of glass formation of a model freestanding polymer film.

Authors:  M D Marvin; R J Lang; D S Simmons
Journal:  Soft Matter       Date:  2014-03-26       Impact factor: 3.679

8.  The Construction and Validation of All-Atom Bulk-Phase Models of Amorphous Polymers Using the TIGER2/TIGER3 Empirical Sampling Method.

Authors:  Xianfeng Li; Sanjeeva Murthy; Robert A Latour
Journal:  Macromolecules       Date:  2011-07-12       Impact factor: 5.985

9.  Glass transition of polymers: atomistic simulation versus experiments.

Authors:  Armand Soldera; Noureddine Metatla
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-12-28
  9 in total
  3 in total

1.  A multiscale scheme for simulating polymer Tg.

Authors:  Chaofu Wu
Journal:  J Mol Model       Date:  2018-11-08       Impact factor: 1.810

2.  Local dynamics within the glass transition domain.

Authors:  François Godey; Alexandre Fleury; Armand Soldera
Journal:  Sci Rep       Date:  2019-07-03       Impact factor: 4.379

3.  Artificial Neural Network Modeling of Glass Transition Temperatures for Some Homopolymers with Saturated Carbon Chain Backbone.

Authors:  Elena-Luiza Epure; Sîziana Diana Oniciuc; Nicolae Hurduc; Elena Niculina Drăgoi
Journal:  Polymers (Basel)       Date:  2021-11-27       Impact factor: 4.329

  3 in total

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