Controlling phase transitions and magnetic order in a ruby artificial spin ice
ORAL
Abstract
Artificial spin ices are arrangements of dipolar-coupled nanomagnets with magnetic moments that behave like Ising spins due to shape anisotropy [1, 2]. The ruby lattice consists of a network of edge-sharing triangles, rectangles and hexagons. A unique feature of the ruby artificial spin ice is that the couplings between nanomagnets can be tuned using two lattice parameters, a and b, while maintaining the same ground state. We have controlled the energy hierarchy in this system and, consequently, how ordering proceeds by varying independently the two lattice parameters [3]. We directly observed the magnetic configurations on thermal annealing using X-PEEM.
When the two lattice constants are of similar size (a ≈ b), the interactions between nanomagnets in triangles and hexagons are approximately balanced, and the system orders in a single step. When one lattice constant is much greater than the other (a >> b or a << b), the system orders in two steps. These steps correspond to the formation of head-to-tail loops of nanomagnet moments associated with the individual hexagonal and triangular shapes. The formation of these moment loops can be successfully captured with an effective three-state spin model with nearest-neighbor interactions. This provides a basis for exploring exotic spin Hamiltonians in artificial spin ice lattices, opening the way to directly observe the resulting emergent phenomena.
When the two lattice constants are of similar size (a ≈ b), the interactions between nanomagnets in triangles and hexagons are approximately balanced, and the system orders in a single step. When one lattice constant is much greater than the other (a >> b or a << b), the system orders in two steps. These steps correspond to the formation of head-to-tail loops of nanomagnet moments associated with the individual hexagonal and triangular shapes. The formation of these moment loops can be successfully captured with an effective three-state spin model with nearest-neighbor interactions. This provides a basis for exploring exotic spin Hamiltonians in artificial spin ice lattices, opening the way to directly observe the resulting emergent phenomena.
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Publication: [1] SH Skjærvø et al. Nat. Rev. Phys. 2, 13 (2020) <br>[2] L Berchialla, GM Macauley and LJ Heyderman Appl. Phys. Letts. Accepted (2024)<br>[3] L Berchialla, GM Macauley et al. In Preparation (2024)
Presenters
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Luca Berchialla
Paul Scherrer Institute, ETH Zurich - Paul Sherrer Institute
Authors
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Luca Berchialla
Paul Scherrer Institute, ETH Zurich - Paul Sherrer Institute
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Gavin Macauley
ETH Zurich - Paul Sherrer Institute
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Flavien Museur
ETH Zurich - Paul Sherrer Institute
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Tianyue Wang
ETH Zurich - Paul Sherrer Institute
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Armin Kleibert
Swiss Light Source, Paul Scherrer Institut, Villigen, Switzerland
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Peter M Derlet
Paul Scherrer Institute
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Laura J Heyderman
ETH Zurich