Reverse Mapping Algorithm for Multi-scale Numerical Simulation of Polylactic Acid
DOI:
https://doi.org/10.14529/jsfi180319Abstract
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.
References
Abraham, M.J., Murtola, T., Schulz, R., P´all, S., Smith, J.C., Hess, B., Lindahl, E.: Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1-2, 19–25 (2015), DOI: 10.1016/j.softx.2015.06.001
Burgos, N., Tolaguera, D., Fiori, S., Jimenez, A.: Synthesis and characterization of lactic acid oligomers: Evaluation of performance as poly(lactic acid) plasticizers. Journal of Polymers and the Environment 22(2), 227–235 (2014), DOI: 10.1007/s10924-013-0628-5
Glagolev, M., Glova, A., Mezhenskaia, D., Falkovich, S., Larin, S., Vasilevskaya, V., Lyulin, S.: Coarse-grained a-graft-b model of poly(lactic acid) for molecular dynamics simulations. Journal of Polymer Science Part B: Polymer Physics 56(7), 604–612 (2018), DOI: 10.1002/polb.24567
Glagolev, M.K., Lazutin, A.A., Vasilevskaya, V.V., Khokhlov, A.R.: Influence of cross-linking rate on the structure of hypercrosslinked networks: Multiscale computer simulation. Polymer 86, 168–175 (2016), DOI: 10.1016/j.polymer.2016.01.040
Glova, A.D., Falkovich, S.G., Larin, S.V., Mezhenskaia, D.A., Lukasheva, N.V., Nazarychev, V.M., Tolmachev, D.A., Mercurieva, A.A., Kenny, J.M., Lyulin, S.V.: Poly(lactic acid)-based nanocomposites filled with cellulose nanocrystals with modified surface: All-atom molecular dynamics simulations. Polymer International 65(8), 892–898 (2016), DOI: 10.1002/pi.5102
Lazutin, A.A., Glagolev, M.K., Vasilevskaya, V.V., Khokhlov, A.R.: Hypercrosslinked polystyrene networks: An atomistic molecular dynamics simulation combined with a mapping/reverse mapping procedure. Journal of Chemical Physics 140(13) (2014), DOI: 10.1063/1.4869695
Maria Laura Di Lorenzo, R.A. (ed.): Synthesis, Structure and Properties of Poly(lactic acid). Advances in Polymer Science, Springer (2018), DOI: 10.1007/978-3-319-64230-7
Sadovnichy, V., Tikhonravov, A., Voevodin, Vl., Opanasenko, V.: ”Lomonosov”: Supercomputing at Moscow State University. In: Contemporary High Performance Computing: From Petascale toward Exascale. pp. 283–307. Chapman & Hall/CRC Computational Science, CRC Press, Boca Raton, United States (2013)
Downloads
Published
How to Cite
Issue
License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-Non Commercial 3.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.