Reverse Mapping Algorithm for Multi-scale Numerical Simulation of Polylactic Acid
Author(s) -
M. K. Glagolev,
V. V. Vasilevskaya
Publication year - 2018
Publication title -
supercomputing frontiers and innovations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 16
eISSN - 2409-6008
pISSN - 2313-8734
DOI - 10.14529/jsfi180319
Subject(s) - polylactic acid , template , representation (politics) , algorithm , affine transformation , polymer , molecular dynamics , transformation (genetics) , scale (ratio) , macromolecule , materials science , computer science , crystallography , chemistry , physics , nanotechnology , mathematics , computational chemistry , geometry , composite material , biochemistry , quantum mechanics , politics , political science , law , gene
An algorithm is proposed to convert the coarse-grained A-graft-B model of polylactic acid into the atomistic representation. In the A-graft-B model the atoms of the backbone are mapped onto A beads, which form the linear backbone of the coarse-grained macromolecule, the methyl groups are mapped onto B side pendants. The algorithm restores atomic positions based on positions of coarse-grained beads with the help of pre-defined chain fragments, called templates. The dimensions of the templates are adjusted by affine transformation to ensure coincidence of the backbone in coarse-grained and atomistic representation. The transition between coarse-grained and atomistic models conserves information about the fine structure of polymer chains. The restored configurations are suitable for further molecular-dynamic simulations. Both atomistic and coarse-grained representations require standard GROMACS software. The algorithm can be used for reverse mapping of other A-graft-B polymer models.
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