2016
DOI: 10.1002/polb.24138
|View full text |Cite
|
Sign up to set email alerts
|

Noncontinuum effects on the mobility of nanoparticles in unentangled polymer solutions

Abstract: The results for the diffusivity of nanoparticles in unentangled semidilute polymer solutions obtained using coarse-grained simulations are presented. The results indicate that for particle sizes smaller than the polymer radius of gyration, the nanoparticle diffusivities deviate from Stokes-Einstein predictions and depend explicitly on the polymer radius of gyration and the polymer solution correlation lengths. Scaling ideas proposed are invoked for rationalizing such noncontinuum effects and demonstrate that t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 14 publications
(11 citation statements)
references
References 64 publications
(118 reference statements)
0
11
0
Order By: Relevance
“…In turn, NP dynamics as they move through an entangled polymer melt is also an area of active interest. 107,[222][223][224][225] For systems where there is no specific interaction between the NPs and the matrix, theory predicts that NP diffusion will be controlled by a constraint release mechanism, which opens up the network locally, enabling NP motion. 223,226 Although simulations have provided a microscopic picture of the distribution of entanglements around grafted spherical NPs, many basic questions remain.…”
Section: Dynamics In Polymer Nanocompositesmentioning
confidence: 99%
“…In turn, NP dynamics as they move through an entangled polymer melt is also an area of active interest. 107,[222][223][224][225] For systems where there is no specific interaction between the NPs and the matrix, theory predicts that NP diffusion will be controlled by a constraint release mechanism, which opens up the network locally, enabling NP motion. 223,226 Although simulations have provided a microscopic picture of the distribution of entanglements around grafted spherical NPs, many basic questions remain.…”
Section: Dynamics In Polymer Nanocompositesmentioning
confidence: 99%
“…Note that, it is hard to take a simulation work on this issue especially the polymer solution, which on one side the solvent accounts for a large proportion and costs a huge computational resource, and on other side a reasonable diffusion coefficient needs so much long time to evolve the system . To our best of knowledge, only in the recent two years, Li et al [46,47]and Pryamitsyn et al [48] had studied this issue in a simulation way, using Multiparticle Collision Dynamic (MPCD) and Dissipative Particle Dynamic (DPD) method respectively.…”
Section: Introductionmentioning
confidence: 99%
“…In the past decades, diffusion of NPs in polymer solutions has received a lot of attention both experimentally [16][17][18][19][20] and theoretically [21][22][23][24][25][26][27]. In experiments, fluctuation correlation spectroscopy (FCS) [28][29][30][31], dynamic light scattering (DLS) [29,32], and capillary viscosimetry are general tools to investigate the diffusion of a NP in complex fluids.…”
Section: Introductionmentioning
confidence: 99%
“…When this continuum approximation is broken by a particle that is comparably sized to a characteristic length scale of the material, however, the particle dynamics deviates from these expressions and a description based solely on the zero-shear viscosity of the material becomes insufficient. [3][4][5][6][7][8][9][10] Semidilute polymer solutions are non-Newtonian fluids used commonly during polymer composite processing, 11 as sweep fluids in enhanced oil recovery methods, 12 and to produce hydrogels. 13 They serve as ideal models for complex heterogeneous materials because their characteristic length scales, such as the polymer radius of gyration R g and the correlation length ξ, are well-defined and easily tuned by changing the molecular weight and concentration of the polymer.…”
Section: Introductionmentioning
confidence: 99%