2018
DOI: 10.1021/acs.jpcb.8b06631
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Molecular Dynamics Study of an Atactic Poly(methyl methacrylate)–Carbon Nanotube Nanocomposite

Abstract: Molecular dynamics (MD) is used to simulate a model atactic poly(methyl methacrylate) (PMMA) system in which carbon nanotubes (CNTs) have been randomly dispersed. Our purpose is to elucidate the equilibrium structure and dynamic behavior of PMMA chains at the interface with a CNT. CNTs with different diameters and at different concentrations in the host PMMA matrix are studied, and their effect on the equilibrium squared radius-of-gyration and squared end-to-end distance of PMMA chains is examined. We have ana… Show more

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Cited by 20 publications
(29 citation statements)
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“…Significant insight into the dynamic properties of polymer nanocomposites has also been obtained from molecular simulations which seem to indicate that important dynamic heterogeneities emerge in polymer nanocomposites for nanoparticles of different types and for various host polymer matrices. Atomistic-level simulations have found extensive use in the study of such systems due to the detailed and precise representation of the chemical structure of the system. A good example is the early molecular dynamics (MD) study of Barbier et al of PEG oligomers filled with small spherical silica nanoparticles, where all components of the nanocomposite were represented in full atomistic detail. According to their work, the strong adsorption of PEG chains on the silica nanoparticles leads to the formation of a tight adsorbed layer, whose density and local dynamics are significantly altered compared to the bulk.…”
Section: Introductionmentioning
confidence: 99%
“…Significant insight into the dynamic properties of polymer nanocomposites has also been obtained from molecular simulations which seem to indicate that important dynamic heterogeneities emerge in polymer nanocomposites for nanoparticles of different types and for various host polymer matrices. Atomistic-level simulations have found extensive use in the study of such systems due to the detailed and precise representation of the chemical structure of the system. A good example is the early molecular dynamics (MD) study of Barbier et al of PEG oligomers filled with small spherical silica nanoparticles, where all components of the nanocomposite were represented in full atomistic detail. According to their work, the strong adsorption of PEG chains on the silica nanoparticles leads to the formation of a tight adsorbed layer, whose density and local dynamics are significantly altered compared to the bulk.…”
Section: Introductionmentioning
confidence: 99%
“…Following previous works [21,46,56], a PEG chain is defined as adsorbed if at least one of its monomers lies inside the adsorbed layer (which here corresponds to the space that extends up to r = 3.4 Å from the surface of the nanoparticle). In complete analogy, a PEG chain is considered as non-adsorbed or free if all of its monomers lie outside the adsorbed layer (i.e., at distances beyond 3.4 Å from the surface of the nanoparticle).…”
Section: Structure and Conformation Of Adsorbed And Free Peg Chainsmentioning
confidence: 99%
“…In addition to PEG-silica, several other polymer nanocomposite systems have been addressed with molecular simulations [ 20 , 21 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 ]. We mention, for example, the work of Ndoro et al [ 40 , 41 ] on curvature effects in melts of poly(styrene) (PS) oligomers filled with spherical silica particles.…”
Section: Introductionmentioning
confidence: 99%
“…Au 923 NCs are modeled as a set of Lennard-Jones (12-6 LJ) Au atoms according to Heinz et al 28 Graphene is modeled through the all-atom DREIDING force-field, 29 already employed for the study of carbon nanotube-and graphene-based polymer nanocomposites. [30][31][32] The interactions of Au and graphene atoms are modelled with a 12-6 LJ potential according to Lewis et al 17 All MD simulations are executed with the LAMMPS software 33 (see also S3, ESI †).…”
Section: Femtosecond Electron Diffractionmentioning
confidence: 99%