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.


The Effect of Temperature on Liquid 1-Methylnaphthalene Structure: An Integrated Diffraction and Simulation Approach

Abstract: We are studying asphaltene behavior in multiple solvent environments to investigate the key motives behind polyaromatic hydrocarbon self-aggregation. We have found that 1- methylnaphthalene (1-MN) molecules tend to stack more with parallel alignment when the temperature is increased, despite a more disordered system being expected following a conventional interpretation of entropy. We are presuming that unconventional forces (e.g., forces induced due to shape entropy) are responsible for this behavior. The behavior of increased order with temperature is well-known in hard particle and colloidal systems, but for liquid aromatic solvents, this phenomenon is still unreported. We aim to perform neutron scattering experiments at repeated and additional temperatures to observe if this novel trend in the fluid aromatic system is real and our preliminary investigations are valid.

Principal Investigator: Dr Michael Hoepfner
Local Contact: Dr Tom Headen
Experimenter: Mr K M Rizwanur Rahman

DOI: 10.5286/ISIS.E.RB1900133

ISIS Experiment Number: RB1900133

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB1900133-1 NIMROD 27 February 2022 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 Michael Hoepfner et al; (2019): The Effect of Temperature on Liquid 1-Methylnaphthalene Structure: An Integrated Diffraction and Simulation Approach, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1900133

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



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