2011
DOI: 10.1039/c0cp02952a
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Polymer–nanoparticle interfacial behavior revisited: A molecular dynamics study

Abstract: By tuning the polymer-filler interaction, filler size and filler loading, we use a coarse-grained model-based molecular dynamics simulation to study the polymer-filler interfacial structural (the orientations at the bond, segment and chain length scales, chain size and conformation), dynamic and stress-strain properties. Simulated results indicate that the interfacial region is composed of partial segments of different polymer chains, which is consistent with the experimental results presented by Chen et al. (… Show more

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Cited by 98 publications
(84 citation statements)
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“…Moreover, due to the amorphous characteristics of the natural rubber matrix, the nanoparticles are lodged between the polymer chains or in the interstices of the chains. [34][35][36] Figure 5 shows the X-ray diffraction patterns for natural rubber (NR) and nanocomposites with a different concentration between 1 and 10 phr of NZF nanoparticles. can be associated with an increase in semi-crystallinity of the nanocomposite due to the mobility reduction of the interchains and interdominions in the polymeric matrix provided by the presence of nanoparticles.…”
Section: Magnetic Characterization Of Nanopowders and Nanocompositementioning
confidence: 99%
“…Moreover, due to the amorphous characteristics of the natural rubber matrix, the nanoparticles are lodged between the polymer chains or in the interstices of the chains. [34][35][36] Figure 5 shows the X-ray diffraction patterns for natural rubber (NR) and nanocomposites with a different concentration between 1 and 10 phr of NZF nanoparticles. can be associated with an increase in semi-crystallinity of the nanocomposite due to the mobility reduction of the interchains and interdominions in the polymeric matrix provided by the presence of nanoparticles.…”
Section: Magnetic Characterization Of Nanopowders and Nanocompositementioning
confidence: 99%
“…However, it is worth noting that in the MC study, the nanoparticles are fixed into the simulation cell, thus they are immobile, contributing into the decrease of polymer diffusivity, whereas in our work they are mobile, and not fixed in the simulation cell. In addition the case of repulsive nanoparticles 54,59,85 , the polymer diffusion coefficient initially increases with increasing nanoparticle loading (up to 5%) 54,85 , it reaches a maximum and decreases further to a D/D 0 = 0.8 ratio, at nanoparticle loading (10%). While in the initial dilute nanoparticle loading, the increase of polymer diffusion (in comparison to its bulk value) reflects the repulsive polymer-nanoparticle interaction, at a higher loading (10%) a reduction of the polymer diffusion is observed, due to simply geometrical reasons, and is affected by the presence of tortuous path 85 .…”
Section: Weakly Entangled Polymers Diffusionmentioning
confidence: 99%
“…It is known that the dynamics of spherical particles (colloids) in a fluid can be predicted by the classic continuum Stokes-Einstein relation. For a spherical particle of radius R in a fluid of viscosity η the diffusion coefficient D SE of the particle is given by 59,61 :…”
Section: B Nanoparticle Diffusionmentioning
confidence: 99%
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“…Simulations can overcome the problem of the behavior of the interfacial material being swamped by that of the bulk, by enabling a focus on only those chains in proximity to the particles [28,29,30,31,32,33]. Simulations suggest that attraction to the particle surface expands the size of the interfacial chains [34], presumably affecting their motion.…”
Section: Introductionmentioning
confidence: 99%