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.
Tuning the Luttinger liquid state in copper pyrazine-based spin chain systems
Abstract: The ability to manipulate quantum states of matter is a goal of condensed matter science. Recent progress in molecular magnetism has shown the potential for gaining control over the structural building blocks of materials in order to engineer quantum magnetic properties. Our muon measurements have proven particularly important in demonstrating how such structural variation influences magnetic exchange pathways. Recently we showed how the systematic tuning of the interlayer separation in a two-dimensional molecular system affects its magnetic properties. Using this insight, we now seek to systematically vary the low-dimensional superexchange pathways in a class of tuneable one-dimensional materials in attempt to gain control over the spin Luttinger liquid state. We propose here to determine the ordering temperatures and probe the 1D dynamics of two novel spin chain materials.
Public release date: 20 December 2022
Principal Investigator: Professor Tom Lancaster
Experimenter: Dr Francis Pratt
Experimenter: Dr Thomas Hicken
Experimenter: Dr Kevin Franke
Experimenter: Professor Jamie Manson
Experimenter: Professor Stephen Blundell
Experimenter: Dr Benjamin Huddart
Local Contact: Dr Mark Telling
DOI: 10.5286/ISIS.E.RB1810316-3
Parent DOI: 10.5286/ISIS.E.RB1810316
ISIS Experiment Number: RB1810316
Part Number: 3
Date of Experiment: 17 December 2019
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Tom Lancaster et al; (2019): Tuning the Luttinger liquid state in copper pyrazine-based spin chain systems, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1810316-3
Data is released under the CC-BY-4.0 license.