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We demonstrate resonant Faraday polarization rotation in plasmonic arrays of bimetallic nano-ring resonators consisting of Au and Ni sections. This metamaterial design allows to optimize the trade-off between the enhancement of…

Artificial spin-vortex ice ('ASVI') is a reconfigurable nanomagnetic metamaterial consisting of magnetic nanoislands tailored to support both Ising macrospin and vortex textures. ASVI has recently shown functional applications including…

We propose and verify experimentally a new concept for achieving strong nonlinear coupling between the electromagnetic and elastic properties in metamaterials. This coupling is provided through a novel degree of freedom in metamaterial…

This note analytically investigates non-reciprocal wave dispersion in locally resonant acoustic metamaterials. Dispersion relations associated with space-time varying modulations of inertial and stiffness parameters of the base material and…

Applied Physics · Physics 2018-01-11 M. A. Attarzadeh , H. Al Ba'ba'a , M. Nouh

Magnetic nanomaterials are considered, formed by magnetic nanomolecules with high spins. The problem of spin reversal in these materials is analyzed, which is of interest for the possible use of such materials for quantum information…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 V. K. Henner , V. I. Yukalov , P. V. Kharebov , E. P. Yukalova

Nonlinear dynamics can give rise, via the processes of self-organisation and pattern formation, to the spontaneous manifestation of order in open and complex systems far from equilibrium. Self-organising systems, transforming the inflow of…

Materials Science · Physics 2023-05-03 M. Gidding , T. Janssen , C. S. Davies , A. Kirilyuk

Artificial spin ice (ASI) represents a class of uniquely structured superlattices comprising geometrically arranged interacting nanomagnets. This arrangement facilitates the exploration of magnetic frustration phenomena and related spin…

Mesoscale and Nanoscale Physics · Physics 2024-07-02 G. A. Gomez-Iriarte , D. E. Gonzalez-Chavez , R. L. Sommer , J. P. Sinnecker

The discovery of advanced materials is the cornerstone of human technological development and progress. The structures of materials and their corresponding properties are essentially the result of a complex interplay of multiple degrees of…

Materials Science · Physics 2025-02-21 Xiao-Qi Han , Xin-De Wang , Meng-Yuan Xu , Zhen Feng , Bo-Wen Yao , Peng-Jie Guo , Ze-Feng Gao , Zhong-Yi Lu

Using extensive numerical simulations, we probe the magnetization switching in two-dimensional artificial spin ice (ASI) system consisting of peanut-shaped nanomagnets. We also investigated the effect of the external magnetic field on the…

Mesoscale and Nanoscale Physics · Physics 2022-05-18 Avinash Chaurasiya , Manish Anand , Rajdeep Singh Rawat

The fundamental limits currently faced by traditional computing devices necessitate the exploration of new ways to store, compute and transmit information. Here, we propose a three-dimensional (3D) magnetic interconnector that exploits…

Conventional computer electronics creates a dichotomy between how information is processed and how it is stored. Silicon chips process information by controlling the flow of charge through a network of logic gates. This information is then…

Materials Science · Physics 2012-11-27 A. Chernyshov , M. Overby , X. Liu , J. K. Furdyna , Y. Lyanda-Geller , L. P. Rokhinson

Sets of nanomagnets are often utilized to mimic cellular automata in design of nanomagnetic logic devices or frustration and emergence of magnetic charges in artificial spin ice systems. in previous work we showed that unidirectional…

Mesoscale and Nanoscale Physics · Physics 2019-05-01 R. S. Gonçalves , R. P. Loreto , J. Borme , P. P. Freitas , C. I. L. Araujo

We simulate automotion, the spontaneous transport of a magnetic domain wall under the influence of demagnetization and magnetic anisotropy, in nanoscale spintronic interconnects. In contrast to spin transfer driven magnetic domain wall…

Mesoscale and Nanoscale Physics · Physics 2015-06-17 Dmitri E. Nikonov , Sasikanth Manipatruni , Ian A. Young

Free-standing, interconnected metallic nanowire networks with density as low as 40 mg/cm^{3} have been achieved over cm-scale areas, using electrodeposition into polycarbonate membranes that have been ion-tracked at multiple angles.…

Mechanical metamaterial is a synthetic material that can possess extraordinary physical characteristics, such as abnormal elasticity, stiffness, and stability, by carefully designing its internal structure. To make metamaterials contain…

Computational Engineering, Finance, and Science · Computer Science 2024-06-11 Yanyan Yang , Lili Wang , Xiaoya Zhai , Kai Chen , Wenming Wu , Yunkai Zhao , Ligang Liu , Xiao-Ming Fu

Unconventional computing explores multi-scale platforms connecting molecular-scale devices into networks for the development of scalable neuromorphic architectures, often based on new materials and components with new functionalities. We…

Emerging Technologies · Computer Science 2013-11-26 Zoran Konkoli , Göran Wendin

The growth of thin films and nanostructures is a fundamental process for constructing both model-type systems and nanoscale devices, where performance and functionalities can be controlled by the choice of parameters. For magnetic systems…

Materials Science · Physics 2025-09-04 Felix Zahner , Kirsten von Bergmann , Roland Wiesendanger , André Kubetzka

We employ a self-consistent simulation approach based on quantum theory to investigate the physical properties of a pair of ferromagnetic and antiferromagnetic nanotubes. It was observed that under the given conditions, no matter the…

Mesoscale and Nanoscale Physics · Physics 2020-08-13 Zhaosen Liu , Hou Ian

Metamaterials are artificially engineered devices that go beyond the properties of conventional materials in nature. Metamaterials allow the creation of negative refractive indexes, light trapping with epsilon-near-zero compounds, bandgap…

Optics · Physics 2022-02-01 Antonio Alex-Amor , Angel Palomares-Caballero , Carlos Molero

In-materia reservoir computing (RC) leverages the intrinsic physical responses of functional materials to perform complex computational tasks. Magnetic metamaterials are exciting candidates for RC due to their huge state space, nonlinear…