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Citation

Ozdemir, Servet, Rogers, Matthew, Strohsack, Jaka, Vasili, Hari Babu, Valvidares, Manuel, Harikumar, Parvathy, O’Regan, David, Teobaldi, Gilberto, Haddadi, Thahabh, Moorsom, Timothy, Ali, Mannan, Burnell, Gavin, Hickey, Bryan J., Mertelj, Tomaz and Cespedes, Oscar (2025) Dataset for Low-energy, ultrafast spin reorientation at competing hybrid interfaces with tunable operating temperature. University of Leeds. [Dataset] https://doi.org/10.5518/1705

Dataset description

Information can be stored in magnetic materials by encoding with the direction of the magnetic moment of elements. A figure of merit for these systems is the energy needed to change the information – rewrite the storage by changing the magnetic moment. Organic molecules offer a playground to manipulate spin order, with metallo-molecular interfaces being a promising direction for sustainable devices. Here, we demonstrate a spin reorientation transition in molecular interfaces of high magnetisation 3d ferromagnetic films due to a competition between a perpendicular magnetic anisotropy (PMA) induced by a heavy metal that dominates at high temperatures, and an in-plane anisotropy generated by molecular coupling at low temperatures. The transition can be tuned around room temperature by varying the ferromagnet thickness (1.4 to 1.9 nm) or the choice of molecular overlayer, with the organic molecules being C60, hydrogen and metal (Cu, Co) phthalocyanines. Near the transition temperature, the magnetisation easy axis can be switched with a small energy input, either electrically with a current density of 〖10〗^5 A/〖cm〗^2, or optically by a fs laser pulse of fluence as low as 0.12 mJ/〖cm〗^2, suggesting heat assisted technology applications. Magnetic dichroism measurements point toward a phase transition at the organic interface being responsible for the spin reorientation transition.

Keywords:	spin reorientation transition, ultrafast switching
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://doi.org/10.1002/adma.202419192 Publication https://eprints.whiterose.ac.uk/id/eprint/230255/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	28 Aug 2025 12:14
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1452
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Ozdemir, Servet https://orcid.org/0009-0005-3271-1194 University of Leeds https://ror.org/024mrxd33 ror Rogers, Matthew https://orcid.org/0000-0002-4550-2392 University of Leeds https://ror.org/024mrxd33 ror Strohsack, Jaka https://orcid.org/0009-0004-4731-8208 Jozef Stefan Institute https://ror.org/05060sz93 ror Vasili, Hari Babu https://orcid.org/0000-0002-3356-6436 University of Leeds https://ror.org/024mrxd33 ror Valvidares, Manuel https://orcid.org/0000-0003-4895-8114 ALBA Synchrotron https://ror.org/02j9n6e35 ror Harikumar, Parvathy https://orcid.org/0000-0001-7211-8567 Trinity College Dublin https://ror.org/02tyrky19 ror O’Regan, David https://orcid.org/0000-0002-7802-0322 Trinity College Dublin https://ror.org/02tyrky19 ror Teobaldi, Gilberto https://orcid.org/0000-0001-6068-6786 Rutherford Appleton Laboratory https://ror.org/03gq8fr08 ror Haddadi, Thahabh University of Leeds https://ror.org/024mrxd33 ror Moorsom, Timothy https://orcid.org/0000-0002-1771-7185 University of Leeds https://ror.org/024mrxd33 ror Ali, Mannan https://orcid.org/0000-0002-7426-7731 University of Leeds https://ror.org/024mrxd33 ror Burnell, Gavin https://orcid.org/0000-0002-9486-0639 University of Leeds https://ror.org/024mrxd33 ror Hickey, Bryan J. https://orcid.org/0000-0001-8289-5618 University of Leeds https://ror.org/024mrxd33 ror Mertelj, Tomaz https://orcid.org/0000-0002-9391-0067 Jozef Stefan Institute https://ror.org/05060sz93 ror Cespedes, Oscar https://orcid.org/0000-0002-5249-9523 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, EU Grant numbers: EP/S030263/1 Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: s.ozdemir@leeds.ac.uk Last Modified: 01 Sep 2025 11:53

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