Noncollinear Edge Magnetism in Nanoribbons of Fe3GeTe2 and Fe3GaTe2Show others and affiliations
2025 (English)In: Nano Letters, ISSN 1530-6984, E-ISSN 1530-6992, Vol. 25, no 31, p. 11797-11802Article in journal (Refereed) Published
Abstract [en]
Fe3GeTe2 and Fe3GaTe2 are ferromagnetic conducting materials of van der Waals type with unique magnetic properties that are highly promising for the development of new spintronic, orbitronic, and magnonic devices. Even in the form of two-dimensional-like ultrathin films, they exhibit a relatively high Curie temperature, magnetic anisotropy perpendicular to the atomic planes, and multiple types of Hall effects. We explore nanoribbons made from single layers of these materials and show that they display noncollinear magnetic ordering at their edges. This magnetic inhomogeneity allows angular momentum currents to generate magnetic torques at the sample edges, regardless of their polarization direction, significantly enhancing the effectiveness of magnetization manipulation in these systems. We also demonstrate that it is possible to rapidly reverse the magnetization direction of these nanostructures by means of spin-orbit and spin-transfer torques with rather low current densities, making them quite propitious for nonvolatile magnetic memory units.
Place, publisher, year, edition, pages
American Chemical Society (ACS), 2025. Vol. 25, no 31, p. 11797-11802
Keywords [en]
magnetism, field-free switching, 2D materials, spin dynamics, spin orbit torque, spintronics
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:oru:diva-122638DOI: 10.1021/acs.nanolett.5c01890ISI: 001534200000001PubMedID: 40699937Scopus ID: 2-s2.0-105013157348OAI: oai:DiVA.org:oru-122638DiVA, id: diva2:1988551
Funder
eSSENCE - An eScience CollaborationCarl Tryggers foundation Swedish Research Council, 2022-06725
Note
R.C and R.B.M. acknowledge financial support from FAPERJ Grants E-26/205.956/2022 and 205.957/2022 (282056). R.B.M. also ackowledges the INCT of Spintronics and Advanced Magnetic Nanostructures, CNPq, Brazil. A.B. acknowledges eSSENCE and the Carl Trygger Foundation (CTS), and Uppsala University’s AI4Research center. The computations handling were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funded by the Swedish Research Council through Grant Agreement 2022-06725. M.C. acknowledges the financial support of CNPq Grant 317320/2021-1, FAPERJ Grant E26/200.240/2023, and INCT Materials Informatics.
The Article Processing Charge for the publication of thisresearch was funded by the Coordenacao de Aperfeicoamentode Pessoal de Nivel Superior (CAPES), Brazil (ROR identifier:00x0ma614).
2025-08-122025-08-122026-01-23Bibliographically approved