Issue 6, 2023

PolySMart: a general coarse-grained molecular dynamics polymerization scheme

Abstract

The development of simulation methods to study the structure and dynamics of a macroscopically sized piece of polymer material is important as such methods can elucidate structure–property relationships. Several methods have been reported to construct initial structures for homo- and co-polymers; however, most of them are only useful for short linear polymers since one needs to pack and equilibrate the far-from-equilibrium initial structures, which is a tedious task for long or hyperbranched polymers and unfeasible for polymer networks. In this method article, we present PolySMart, i.e., an open-source python package, which can effectively produce fully equilibrated homo- and hetero-polymer melts and solutions with no limitation on the polymer topology and size, at a coarse-grained resolution and through a bottom-up approach. This python package is also capable of exploring the polymerization kinetics through its reactive scheme in realistic conditions so that it can model the multiple co-occurring polymerization reactions (with different reaction rates) as well as consecutive polymerizations under stoichiometric and non-stoichiometric conditions. Thus, the equilibrated polymer models are generated through correct polymerization kinetics. A benchmark and verification of the performance of the program for several realistic cases, i.e., for homo-polymers, co-polymers, and crosslinked networks, is given. We further discuss the capability of the program to contribute to the discovery and design of new polymer materials.

Graphical abstract: PolySMart: a general coarse-grained molecular dynamics polymerization scheme

Supplementary files

Article information

Article type
Communication
Submitted
19 Jan 2023
Accepted
27 Mar 2023
First published
28 Mar 2023
This article is Open Access
Creative Commons BY-NC license

Mater. Horiz., 2023,10, 2281-2296

PolySMart: a general coarse-grained molecular dynamics polymerization scheme

S. M. Mousavifard, H. Ghermezcheshme, A. Mirzaalipour, M. Mohseni, G. de With and H. Makki, Mater. Horiz., 2023, 10, 2281 DOI: 10.1039/D3MH00088E

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