Tailoring the magnetic order in a supermagnetic metamaterial

Slöetjes, Samuel Dingeman; Urdahl, Hans Henrik; Grepstad, J. K.; Folven, Erik

doi:10.1063/1.4978319

Cited by 14 publications

(9 citation statements)

References 21 publications

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“…Magnetic elements below a critical size will be in a monodomain state, and the magnetization of each element can be described in terms of a single macrospin [9,10]. The ground-state ordering of these macrospins is determined by the geometric arrangement of the elements [11] as well as their shape.…”

Section: Introductionmentioning

confidence: 99%

Direct imaging of long-range ferromagnetic and antiferromagnetic order in a dipolar metamaterial

Digernes

Slöetjes

Strømberg

et al. 2020

Phys. Rev. Research

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Magnetic metamaterials such as artificial spin ice offer a route to tailor magnetic properties. Such materials can be fabricated by lithographically defining arrays of nanoscale magnetic islands. The magnetostatic interactions between the elements are influenced by their shape and geometric arrangement and can lead to long-range ordering. We demonstrate how the magnetic order in a two-dimensional periodic array of circular disks is controlled by the lattice symmetry. Antiferromagnetic and ferromagnetic order extending through the entire array is observed for the square and hexagonal lattice, respectively. Furthermore, we show that a minute deviation from perfect circularity of the elements along a preferred direction results in room-temperature blocking and favors collinear spin textures.

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Section: Introductionmentioning

confidence: 99%

Direct imaging of long-range ferromagnetic and antiferromagnetic order in a dipolar metamaterial

Digernes

Slöetjes

Strømberg

et al. 2020

Phys. Rev. Research

Self Cite

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“…Examples include designed computer networks [96] and job scheduling [97], but also modelling the hospital management processes [98], empirical data of urban systems [99], and stock market dynamics [100]. New classes of functional materials, for example, frustrated spin systems [101][102][103], are being designed to improve their functional properties, for example, relevant to spintronics. We note that, in this inverse problem approach, the system's elements, interactions and parameters of the dynamics are varied such that they eventually result in the desired SOC behaviour.…”

Section: Self-organised Critical Systems and Their Network At Different Scalesmentioning

confidence: 99%

Self-Organised Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological, and Social Networks

Tadić

Melnik

2021

Dynamics

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Studies of many complex systems have revealed new collective behaviours that emerge through the mechanisms of self-organised critical fluctuations. Subject to the external and endogenous driving forces, these collective states with long-range spatial and temporal correlations often arise from the intrinsic dynamics with the threshold nonlinearity and geometry-conditioned interactions. The self-similarity of critical fluctuations enables us to describe the system using fewer parameters and universal functions that, on the other hand, can simplify the computational and information complexity. Currently, the cutting-edge research on self-organised critical systems across the scales strives to formulate a unifying mathematical framework, utilise the critical universal properties in information theory, and decipher the role of hidden geometry. As a prominent example, we study the field-driven spin dynamics on the hysteresis loop in a network with higher-order structures described by simplicial complexes, which provides a geometric-frustration environment. While providing motivational illustrations from physical, biological, and social systems, along with their networks, we also demonstrate how the self-organised criticality occurs at the interplay of the complex topology and driving mode. This study opens up new promising routes with powerful tools to address a long-standing challenge in the theory and applications of complexity science ingrained in the efficient analysis of self-organised critical states under the competing higher-order interactions embedded in complex geometries.

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“…26 Nowadays, magnetic materials are artificially engineered to achieve higher permeability and other desired electromagnetic properties. 27…”

Section: Microwave Magnetic Materialsmentioning

confidence: 99%

Applications of Microwave Materials: A Review

Raveendran

Sebastian

Raman

2019

Journal of Elec Materi

147

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The performance of microwave devices mainly depends on the properties of materials used in the fabrication. Knowledge of material properties at microwave frequencies is a prerequisite to select suitable materials for various microwave applications and vice versa. In this review, seven categories of materials and their applications in a microwave regime are elaborately discussed. The categories include magnetic materials, carbon-based materials, flexible or stretchable materials, biomaterials, phantoms, tunable materials and metamaterials. A brief overview of other important microwave materials such as low-loss ceramic dielectric materials, low-loss polymer ceramic composites, glass ceramics and multilayer ceramics is also given. The objective of this review is to expose the world of materials for wide microwave applications and thereby properly assisting the material selection for specific applications. Moreover, this review has dual significance. It helps material scientists to develop new materials and modify the properties of the available materials with respect to the application requirements. It also assists microwave engineers to select and use appropriate materials for different microwave applications.

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Tailoring the magnetic order in a supermagnetic metamaterial

Cited by 14 publications

References 21 publications

Direct imaging of long-range ferromagnetic and antiferromagnetic order in a dipolar metamaterial

Direct imaging of long-range ferromagnetic and antiferromagnetic order in a dipolar metamaterial

Self-Organised Critical Dynamics as a Key to Fundamental Features of Complexity in Physical, Biological, and Social Networks

Applications of Microwave Materials: A Review

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