ISIS Neutron and Muon Source Data Journal

Using contrast matching to understand the networks in multicomponent systems

Abstract: We have been focusing on two component gel networks. Here, both components can individually form gels. In a mixed system, the LMWG can either co-assemble or self-sort. In a self-sorted system, the LMWG prefer to assemble with themselves, such that each fibre only contains a single LMWG. However, for self-sorted fibers, to understand the mechanical properties of the gels, it is necessary to understand how the fibres interact. For example, in two hypothetically different cases, the different fibres could heavily entangle or prefer to remain separate and form an interpenetrated network. Here, we intend to use contrast matching experiments to understand how one network has been affected by the presence of the second.

Principal Investigator: Professor Dave Adams
Experimenter: Professor Emily Draper
Local Contact: Dr Sarah Rogers
Experimenter: Professor Annela Seddon
Experimenter: Dr Kate McAulay
Experimenter: Miss Ana Maria Fuentes Caparrós

DOI: 10.5286/ISIS.E.RB1820016

ISIS Experiment Number: RB1820016

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

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

For Example:
Professor Dave Adams et al; (2018): Using contrast matching to understand the networks in multicomponent systems, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820016

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