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.


Soft solid/crystalline composites

Abstract: Metal organic frameworks (MOFs) are a particularly interesting class of three dimensional crystalline networks formed by the self-assembly of metal ions with organic ligands. Their regular structure creates internal pores and channels, and the large internal surface area this creates makes them interesting candidates for use in hydrogen storage, gas separation and drug delivery. A new area of research is the use of MOFs as a hard template to produce a negative image of the highly porous structure in a softer material such as a polymer. There have been several reports of the adsorption of monomers into MOFs and their subsequent polymerisation in situ, but physical characterisation of the MOF/monomer composite is somewhat lacking in the field. The proposed experiments will shed light on MOF/polymer interactions, and how these have changed from the pre-polymerised material.

Principal Investigator: Dr Alison Paul
Local Contact: Dr Tristan Youngs
Experimenter: Mr Taylor Young
Local Contact: Dr Tom Headen
Experimenter: Dr Timothy Easun
Experimenter: Dr Joel Cornelio
Experimenter: Mr Daniel Cerasale

DOI: 10.5286/ISIS.E.RB2220510

ISIS Experiment Number: RB2220510

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2220510-1 NIMROD 27 November 2025 Download
10.5286/ISIS.E.RB2220510-2 NIMROD 11 December 2025 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 Alison Paul et al; (2022): Soft solid/crystalline composites, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2220510

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



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