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.


Hydration and chain entanglement in random poly(HEMA-co-PEG10MA) brushes

Abstract: Marine biofouling compromises function and reliability of marine equipment, causing considerable economic and environmental damage. Biocides for fouling prevention are increasingly avoided for environmental reasons, and the development of effective nontoxic antifouling coatings requires better understanding of the interactions between fouling organisms and surfaces. We try to understand how surface properties affect the behaviour and attachment of marine organisms, and which strategies and chemical ¿glues¿ they use for attachment. An essential part of this research is development of antifouling polymeric materials. In certain polymer coatings we observe a clear thickness dependence on the antifouling efficacy, suggesting that polymer structure and swelling vary with thickness. We ask for beamtime to clarify the structure of such a polymer to better understand its antifouling properties.

Principal Investigator: Dr Thomas Ederth
Experimenter: Dr Bela Nagy
Experimenter: Mr Wetra Yandi

DOI: 10.5286/ISIS.E.RB1510478

ISIS Experiment Number: RB1510478

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.61785597 SURF 29 June 2018 Download
10.5286/ISIS.E.61003913 SURF 28 June 2018 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 Thomas Ederth et al; (2015): Hydration and chain entanglement in random poly(HEMA-co-PEG10MA) brushes, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1510478

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



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