2022
DOI: 10.1021/acs.jpcb.2c04389
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Dispersion and Diffusion Mechanism of Nanofillers with Different Geometries in Bottlebrush Polymers: Insights from Molecular Dynamics Simulation

Abstract: The dispersion and diffusion mechanism of nanofillers in polymer nanocomposites (PNCs) are crucial for understanding the properties of PNCs, which is of great significance for the design of novel materials. Herein, we investigate the dispersion and diffusion behavior of two geometries of nanofillers, namely, spherical nanoparticles (SNPs) and nanorods (NRs), in bottlebrush polymers by utilizing coarse-grained molecular dynamics simulations. With the increase of the interaction strength between the nanofiller a… Show more

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Cited by 9 publications
(7 citation statements)
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“…Like Zografos et al 38 and Lopez et al, 27 for densely grafted bottlebrushes we identify a star-like to bottlebrush-like transition with power law exponents for the flow curves progressively decreasing and converging to a Zimm scaling of ∼−0.33 with increasing N BB , 58 even if in our case the total molecular weight is constant instead of progressively increasing N BB at fixed side chain length. We attribute the shear thinning behavior to the orientation of the individual bonds rather than the backbone relaxation, in line with the computational findings of Qu et al 59 This idea would also be in line with the recent findings that a monomeric friction coefficient in Brownian dynamics simulations of Fraenkel chains is necessary to correctly capture experimental viscosity data for unentangled linear polymers under flow. 60−62 Yet, this might be caused by the high shear rates accessible to our simulations, close to the inverse of the bond relaxation times τ b , while different architectural effects might play a more important role at lower shear rates that we could not access.…”
Section: ■ Methodssupporting
confidence: 90%
“…Like Zografos et al 38 and Lopez et al, 27 for densely grafted bottlebrushes we identify a star-like to bottlebrush-like transition with power law exponents for the flow curves progressively decreasing and converging to a Zimm scaling of ∼−0.33 with increasing N BB , 58 even if in our case the total molecular weight is constant instead of progressively increasing N BB at fixed side chain length. We attribute the shear thinning behavior to the orientation of the individual bonds rather than the backbone relaxation, in line with the computational findings of Qu et al 59 This idea would also be in line with the recent findings that a monomeric friction coefficient in Brownian dynamics simulations of Fraenkel chains is necessary to correctly capture experimental viscosity data for unentangled linear polymers under flow. 60−62 Yet, this might be caused by the high shear rates accessible to our simulations, close to the inverse of the bond relaxation times τ b , while different architectural effects might play a more important role at lower shear rates that we could not access.…”
Section: ■ Methodssupporting
confidence: 90%
“…In order to investigate the behavior of individual monomers, we compute MSD curves for several representative simulation systems. The diffusion coefficient (D) is determined, and the average distance a monomer diffuses in time τ is estimated as D 6 , where D is calculated using the equation: 44,45…”
Section: Models and Methodsmentioning
confidence: 99%
“…In order to investigate the behavior of individual monomers, we compute MSD curves for several representative simulation systems. The diffusion coefficient ( D ) is determined, and the average distance a monomer diffuses in time τ is estimated as , where D is calculated using the equation: , . Finally, we compare the diffusion distance of individual monomers within time τ in the selected system with 0.02 times the box sizes, and we present results in Table S2.…”
Section: Models and Methodsmentioning
confidence: 99%
“…11 Chen et al investigated the diffusion mechanism of nanofillers with different geometries by the use of molecular dynamics. 12 Kawada et al used machine learning approaches to accelerate their simulations and used it to investigated water diffusion in a variety of different polymers. 13 In the field of fuel cells molecular dynamics is used to describe transport mechanisms in exchange membranes.…”
Section: Introductionmentioning
confidence: 99%