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A parallel algorithm to produce long polymer chains in molecular dynamics.
Lemarchand, C A; Bousquet, D; Schnell, B; Pineau, N.
Affiliation
  • Lemarchand CA; CEA-DAM-DIF, F-91297 Arpajon, France.
  • Bousquet D; CEA-DAM-DIF, F-91297 Arpajon, France.
  • Schnell B; MICHELIN, 23 Place des Carmes Déchaux, 63040 Clermont-Ferrand, France.
  • Pineau N; CEA-DAM-DIF, F-91297 Arpajon, France.
J Chem Phys ; 150(22): 224902, 2019 Jun 14.
Article in En | MEDLINE | ID: mdl-31202233
ABSTRACT
Generating initial configurations of polymer melts above the entanglement molecular weight is a challenge in molecular dynamics and Monte Carlo simulations. In this work, we adapt an algorithm mimicking a chemical polymerization to all-atom force fields. The principle of this algorithm is to start from a bath of monomers between which bonds are created and relaxed sequentially. Our implementation is parallel and efficient. The parallelization is that of a classical molecular dynamics code and enables the user to generate large systems, up to 7 × 106 atoms. The efficiency of the algorithm comes from the linear scaling between the simulation time and the chain length in the limit of very long chains. The implementation is able to produce long polymer chains, up to ∼2000 carbon atoms, with thermodynamic and local structural properties in good agreement with their experimental and numerical counterparts. Moreover, the chain conformations are close to being equilibrated right after the end of the polymerization process, corresponding to only a few hundred of picoseconds of simulation, despite a systematical drift from Gaussian-like behavior when the density of reactively available monomers decreases. Finally, the algorithm proposed in this work is versatile in nature because the bond creation can be easily modified to create copolymers, block copolymers, and mixtures of polymer melts with other material.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Chem Phys Year: 2019 Document type: Article Affiliation country: France

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Chem Phys Year: 2019 Document type: Article Affiliation country: France