Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session B21: Emergent Properties: Antiferromagnetism in Spintronic Devices
11:30 AM–2:18 PM,
Monday, March 4, 2024
Room: 101A
Sponsoring
Unit:
GMAG
Chair: Feng Ye, Oak Ridge National Laboratory
Abstract: B21.00006 : Surface Magnetization in Antiferromagnets: Classification, example materials, and relation to magnetoelectric responsesSophie F. Weber*
12:54 PM–1:30 PM
Presenter:
Sophie F Weber
(ETH Zurich)
Authors:
Sophie F Weber
(ETH Zurich)
Nicola A Spaldin
(ETH Zurich)
Andrea Urru
(Rutgers University)
Claude Ederer
(ETH Zurich)
Sayantika Bhowal
(ETH Zurich)
In this talk, I will discuss our recent results [5] in which we use symmetry analysis and ab-initio density functional theory to determine and characterize surface magnetization in AFM materials. We first introduce a classification system based on whether the surface magnetization is sensitive or robust to roughness, and on whether the surface of interest is magnetically compensated or uncompensated in the bulk magnetic ground state. We then show that each category of surface magnetization can be described in terms of bulk magnetic multipoles, and in terms of corresponding bulk magnetoelectric responses arising from the effective electric field at the surface. We use density functional calculations to show that compensated surfaces of $mathrm{Cr_2O_3}$ and $mathrm{FeF_2}$ develop a finite surface magnetization, in agreement with our predictions based on group theory and the ordering of the bulk multipoles. Our analysis provides a comprehensive basis for understanding AFM surface magnetization, and has important implications for phenomena such as exchange bias.
[1] A. F. Andreev, JETP Lett. 63, 756 (1996)
[2] K. D. Belashchenko, Phys. Rev. Lett. 105, 147204 (2010)
[3] P. Appel et al, Nano Lett. 19, 1682 (2019)
[4] M. S. Wornle et al., Phys. Rev. B 103, 094426 (2021)
[5] S. F. Weber, A. Urru, S. Bhowal, C. Ederer, and N. A. Spaldin, arXiv:2306.06631(2023)
*This work was funded by the ERC under the European Union's Horizon 2020 research and innovation programme with grant No. 810451, and by ETH Zurich.
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