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Observation of spin-glass-like characteristics in ferrimagnetic TbCo through energy-level-selective approach

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Abstract
In a ferrimagnet, there are two magnetic sublattices coupled antiferromagnetically. The dynamics of the two magnetic sublattices isn't well understood, as the magnetic moments for each reside at different energy levels. Here, Park et al show that the magnetic moments at deeper energy levels show spin-glass like characteristics.

Rare earth (RE)-transition metal (TM) ferrimagnetic alloys are gaining increasing attention because of their potential use in the field of antiferromagnetic spintronics. The moment from RE sub-lattice primarily originates from the 4f-electrons located far below the Fermi level (E-F), and the moment from TM sub-lattice arises from the 3d-electrons across the E-F. Therefore, the individual magnetic moment configurations at different energy levels must be explored to clarify the microscopic mechanism of antiferromagnetic spin dynamics. Considering these issues, here we investigate the energy-level-selective magnetic moment configuration in ferrimagnetic TbCo alloy. We reveal that magnetic moments at deeper energy levels are more easily altered by the external magnetic field than those near the E-F. More importantly, we find that the magnetic moments at deeper energy levels exhibit a spin-glass-like characteristics such as slow dynamics and magnetic moment freezing whereas those at E-F do not. These unique energy-level-dependent characteristics of RE-TM ferrimagnet may provide a better understanding of ferrimagnet, which could be useful in spintronic applications as well as in spin-glass studies.
Author(s)
Park, Ji-HoKim, Won TaeWon, WoonjaeKang, Jun-HoLee, SoogilPark, Byong-GukHam, Byoung SeungJo, YounghunRotermund, FabianKim, Kab-Jin
Issued Date
2022-09
Type
Article
DOI
10.1038/s41467-022-33195-y
URI
https://scholar.gist.ac.kr/handle/local/10624
Publisher
Nature Publishing Group
Citation
Nature Communications, v.13, no.1
ISSN
2041-1723
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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