ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Local and long-range ordering in concentrated nanotube solutions

Abstract: Manipulating nanoparticles in liquids is crucial for their scalable implementation in future technologies. For example, such liquids can be used like paint to create uniform films over large areas at low costs. We have developed a method to dissolve the highly promising nanoparticles known as 'carbon nanotubes'. These minute tubes, 10,000th the size of a human hair, promise an array of important future applications from flat screens to smart textiles. In this experiment, we will use neutron scattering to measure the arrangement of the solvent molecules around the nanotubes in our solutions, in order to understand how they dissolve. We will also investigate predictions that the nanotubes will line up at high concentrations. The knowledge gained will permit the optimisation of these liquids for their use in creating future nanotube-based technologies.

Principal Investigator: Dr Chris Howard
Experimenter: Mr Nadir Basma
Experimenter: Professor Neal Skipper
Experimenter: Dr Milo Shaffer
Experimenter: Dr Tom Headen
Experimenter: Dr David Buckley

DOI: 10.5286/ISIS.E.RB1610416

ISIS Experiment Number: RB1610416

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.81735517 NIMROD 10 July 2019 Download
10.5286/ISIS.E.81872130 NIMROD 17 July 2019 Download

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:
Dr Chris Howard et al; (2016): Local and long-range ordering in concentrated nanotube solutions, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610416

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



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