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.


INS as a dual-probe of giant magnetic anisotropy and vibrational density of states in a Ni-based single-ion magnet

Abstract: Monometallic complexes of paramagnetic transition metal or lanthanide metal ions have found to exhibit single-molecule magnet (SMM) behaviour with an appreciably enhanced magnetic anisotropy, due to stabilisation of an unquenched orbital moment. The understanding and controlling of their magnetic anisotropy and relaxation dynamics is fundamental for the engineering of better performing single-molecule magnets. Recently a Ni(II)-based single-ion magnet has been found to exhibit an unprecedented magnetic anisotropy. We propose to use MARI spectrometer to directly measure the single ion zero field splitting responsible for the slow relaxation of the magnetization of this new Ni-based single ion magnet. We will also measure the phonon density of states to better understand the detalis of its relaxation of the magnetization.

Principal Investigator: Professor Mark Murrie
Experimenter: Ms Moya Hay
Experimenter: Ms Alexandra Collet
Experimenter: Professor Stefano Carretta
Experimenter: Professor Stewart Parker
Experimenter: Dr Tatiana Guidi

DOI: 10.5286/ISIS.E.RB1710402

ISIS Experiment Number: RB1710402

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.86388672 MARI 09 May 2020 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 Mark Murrie et al; (2017): INS as a dual-probe of giant magnetic anisotropy and vibrational density of states in a Ni-based single-ion magnet, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710402

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



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