Reverse Mapping Algorithm for Multi-scale Numerical Simulation of Polylactic Acid

Authors

  • Mikhail K. Glagolev A. N. Nesmeyanov Institute of Organoelement Compounds of Russian Academy of Sciences, Vavilova St. 28, 119991 Moscow, Russia
  • Valentina V. Vasilevskaya A. N. Nesmeyanov Institute of Organoelement Compounds of Russian Academy of Sciences, Vavilova St. 28, 119991 Moscow, Russia, Chemistry Department, Moscow State University, Moscow, 119991 Russia

DOI:

https://doi.org/10.14529/jsfi180319

Abstract

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)

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Published

2018-11-20

How to Cite

Glagolev, M. K., & Vasilevskaya, V. V. (2018). Reverse Mapping Algorithm for Multi-scale Numerical Simulation of Polylactic Acid. Supercomputing Frontiers and Innovations, 5(3), 103–106. https://doi.org/10.14529/jsfi180319

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