ISIS Neutron and Muon Source Data Journal

Mesoscale structure of nanoparticles in attractive polymer nanocomposites

Abstract: Dispersing nanoparticles (NPs) into polymers results in unexpected and remarkable changes in macroscopic properties of the resulting composites (PNCs). The properties of PNCs are primarily controlled by the polymer-NP interaction that also determines the NP dispersion state. Repulsive or neutral polymer-NP interaction often leads to phase-separated or self-assembled superstructures and their percolation within the soft matrix dominates the mechanical reinforcement. Favourable polymer-NP interaction facilitates polymer adsorption on NP surfaces and, in most cases, results in good dispersion of bare particles in polymers. However, the detailed mechanism is not well-understood.We believe that a combination of SANS and SESANS can yield significant information on these structures over ~5 orders of magnitude. Our goal ss to unravel such ?hidden network? of particles by SANS and SESANS.

Principal Investigator: Dr Steven Parnell
Experimenter: Mr Christiaan Duif
Experimenter: Dr Mike Weir
Local Contact: Dr Robert Dalgliesh
Experimenter: Dr Jeroen Plomp
Experimenter: Dr Erkan Senses
Local Contact: Dr Gregory Smith

DOI: 10.5286/ISIS.E.RB1969005

ISIS Experiment Number: RB1969005

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Steven Parnell et al; (2020): Mesoscale structure of nanoparticles in attractive polymer nanocomposites, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1969005

Data is released under the CC-BY-4.0 license.