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Altermagnets are a novel class of materials that combine antiferromagnetic spin ordering with non-relativistic spin splitting (NRSS) in their band structure, making them promising candidates for spintronics applications without requiring…

强关联电子 · 物理学 2025-08-12 Niklas Sicheler , Roberto Raimondi , Giorgio Sangiovanni , Lorenzo Del Re

Due to their particle-like properties, three-dimensional (3D) spin textures have garnered significant interest, particularly for their potential applications in next-generation information storage devices. However, efficiently identifying…

介观与纳米尺度物理 · 物理学 2025-02-27 Moritz Winterott , Samir Lounis

Nonlinear phenomena represent one of the central topics in the study of wave-matter interactions and constitute the key blocks for various applications in optical communication, computing, sensing, and imaging. In this work, we show that by…

应用物理 · 物理学 2024-04-16 Zhongqiang Hu , Qiuyuan Wang , Chung-Tao Chou , Justin T. Hou , Zhiping He , Luqiao Liu

The linear and nonlinear processes in ferromagnetic films at low temperatures T<< Tc are studied in a microscopic theory. Both the long-range magnetic dipole-dipole and the Heisenberg exchange interactions to nearest and next-nearest…

强关联电子 · 物理学 2009-10-31 R. N. Costa Filho , M. G. Cottam , G. A. Farias

Generation of second-harmonic waves is one of the universal nonlinear phenomena that have found numerous technical applications in many modern technologies, in particular, in photonics. This phenomenon also has great potential in the field…

介观与纳米尺度物理 · 物理学 2024-03-01 K. O. Nikolaev , S. R. Lake , G. Schmidt , S. O. Demokritov , V. E. Demidov

Networks of nonlinear resonators offer a promising platform for analog computing and the emulation of complex systems. However, realizing such networks remains challenging, as it requires resonators with high quality factors, individual…

介观与纳米尺度物理 · 物理学 2025-06-03 Luis Mestre , Suyash Singh , Gabriel Margiani , Letizia Catalini , Alexander Eichler , Vincent Dumont

All-spin-based computing combining logic and nonvolatile magnetic memory is promising for emerging information technologies. However, the realization of a universal spin logic operation representing a reconfigurable building block with…

介观与纳米尺度物理 · 物理学 2024-10-11 Dmitrii Khokhriakov , Shehrin Sayed , Anamul Md. Hoque , Bogdan Karpiak , Bing Zhao , Supriyo Datta , Saroj P. Dash

Memtranstor that correlates charge and magnetic flux via nonlinear magnetoelectric effects has a great potential in developing next-generation nonvolatile devices. In addition to multi-level nonvolatile memory, we demonstrate here that…

新兴技术 · 计算机科学 2017-01-04 Jianxin Shen , Dashan Shang , Yisheng Chai , Yue Wang , Junzhuang Cong , Shipeng Shen , Liqin Yan , Wenhong Wang , Young Sun

We have investigated multifunctional periodic structures in which electromagnetic waves and spin waves can be confined in the same areas. Such simultaneous localization of both sorts of excitations can potentially enhance the interaction…

材料科学 · 物理学 2017-03-14 Yu. S. Dadoenkova , N. N. Dadoenkova , I. L. Lyubchanskii , J. W. Kłos , M. Krawczyk

Metasurfaces are nano-structured devices composed of arrays of subwavelength scatterers (or meta-atoms) that manipulate the wavefront, polarization, or intensity of light. Like other diffractive optical devices, metasurfaces suffer from…

光学 · 物理学 2016-07-22 Ehsan Arbabi , Amir Arbabi , Seyedeh Mahsa Kamali , Yu Horie , Andrei Faraon

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of…

Brain-inspired computing architectures attempt to emulate the computations performed in the neurons and the synapses in human brain. Memristors with continuously tunable resistances are ideal building blocks for artificial synapses. Through…

A numerical model of interacting nanomagnetic elements is used to demonstrate active inference with a three dimensional Artificial Spin Ice structure. It is shown that thermal fluctuations can drive this magnetic spin system to evolve under…

介观与纳米尺度物理 · 物理学 2024-02-28 Robert L. Stamps , Rehana Begum Popy , Johan van Lierop

The interaction between microscopic particles has always been a fascinating and intriguing area of science. Direct interrogation of such interactions is often difficult or impossible. Structured electromagnetic systems offer a rich toolkit…

This study investigates how dynamical systems may be learned and modelled with a neuromorphic network which is itself a dynamical system. The neuromorphic network used in this study is based on a complex electrical circuit comprised of…

无序系统与神经网络 · 物理学 2025-10-24 Yinhao Xu , Georg A. Gottwald , Zdenka Kuncic

The magnetoelectric effects in multiferroics have a great potential in creating next-generation memory devices. We conceive a new concept of non-volatile memories based on a type of nonlinear magnetoelectric effects showing a…

材料科学 · 物理学 2016-08-17 Jianxin Shen , Junzhuang Cong , Yisheng Chai , Dashan Shang , Shipeng Shen , Kun Zhai , Ying Tian , Young Sun

Electronic transport through a single-molecule magnet Mn$_{12}$ in a two-terminal set up is calculated using the non-equilibrium Green's function method in conjunction with density-functional theory. A single-molecule magnet Mn$_{12}$ is…

材料科学 · 物理学 2010-01-28 Salvador Barraza-Lopez , Kyungwha Park , Víctor García-Suárez , Jaime Ferrer

Bacterial cellulose biofilms are complex networks of strong interwoven nanofibers that control transport and protect bacterial colonies in the film. Design of diverse applications of bacterial cellulose films also relies on understanding…

软凝聚态物质 · 物理学 2022-06-09 Firoozeh Babayekhorasani , Maryam Hosseini , Patrick T. Spicer

We compute electromagnetic wave propagation through the magnetosphere of a magnetar. The magnetosphere is modeled as the QED vacuum and a cold, strongly magnetized plasma. The background field and electromagnetic waves are treated…

高能天体物理现象 · 物理学 2015-05-18 Dan Mazur , Jeremy S. Heyl

Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt and process information similarly to the way…