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Structure of interacting aggregates of silica nanoparticles in a polymer matrix: small-angle scattering and reverse Monte Carlo simulations
- Source :
- Soft Matter, Soft Matter, Royal Society of Chemistry, 2007, 3, pp.476-485. ⟨10.1039/b614957j⟩, Soft matter 3, 476-485 (2007). doi:10.1039/b614957j
- Publication Year :
- 2020
-
Abstract
- Reinforcement of elastomers by colloidal nanoparticles is an important application where microstructure needs to be understood-and, if possible, controlled-if one wishes to tune macroscopic mechanical properties. Here, the three-dimensional structure of large aggregates of nanometric silica particles embedded in a soft polymeric matrix is determined by small angle neutron scattering. Experimentally, the crowded environment leading to strong reinforcement induces a strong interaction between aggregates, which generates a prominent interaction peak in the scattering. We propose to analyze the total signal by means of a decomposition in a classical colloidal structure factor describing aggregate interaction and an aggregate form factor determined by a reverse Monte Carlo technique. The result gives new insight to the shape of aggregates and their complex interaction in elastomers. For comparison, fractal models for aggregate scattering are also discussed.
- Subjects :
- Materials science
small angle scattering
Strong interaction
FOS: Physical sciences
02 engineering and technology
Reverse Monte Carlo
Condensed Matter - Soft Condensed Matter
010402 general chemistry
01 natural sciences
nanocomposites
ddc:530
chemistry.chemical_classification
Scattering
Form factor (quantum field theory)
General Chemistry
Polymer
021001 nanoscience & nanotechnology
Condensed Matter Physics
Small-angle neutron scattering
0104 chemical sciences
Condensed Matter::Soft Condensed Matter
chemistry
Chemical physics
Soft Condensed Matter (cond-mat.soft)
Small-angle scattering
0210 nano-technology
Structure factor
[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
Subjects
Details
- ISSN :
- 17446848 and 1744683X
- Volume :
- 3
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Soft matter
- Accession number :
- edsair.doi.dedup.....7fb54b1b12b85a39d18baf8ab430132b
- Full Text :
- https://doi.org/10.1039/b614957j⟩