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.


High wear surfaces - Diamond like carbon (DLC) - a novel surface for Neutron Reflection

Abstract: There is presently a lot of interest in the NR community to apply this powerful method to industrially relevant engineering applications such as lubrication and wear. This proposal is part of a programme to understand additive behaviour at one of the most important surfaces used to prevent wear ? Diamond-like coatings (DLC). The work also will provide key information for some other very novel approaches we are developing, particularly a surface quantum sensor. This particular proposal aims to obtain and understand the surface structures of molecular systems adsorbed on DLC with variations in the key parameters of temperature and coverage - dodecanoic acid and dodecylamine from model non-aqueous solvent (dodecane). This data is important in its own right but also to validate the new NMR sensor.

Principal Investigator: Professor Stuart Clarke
Experimenter: Miss Holly Smith
Local Contact: Dr Rebecca Welbourn
Experimenter: Mr Najib Sharifi
Experimenter: Mr Ted Kehoe
Experimenter: Dr David Madden

DOI: 10.5286/ISIS.E.RB2210025

ISIS Experiment Number: RB2210025

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2210025-1 OFFSPEC 07 July 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:
Professor Stuart Clarke et al; (2022): High wear surfaces - Diamond like carbon (DLC) - a novel surface for Neutron Reflection, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210025

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



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