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Ferromagnets are key materials for sensing and memory applications. In contrast, antiferromagnets that represent the more common form of magnetically ordered materials, have so far found less practical application beyond their use for…

Mesoscale and Nanoscale Physics · Physics 2017-05-31 J. Železný , P. Wadley , K. Olejník. A. Hoffmann , H. Ohno

Skyrmions, topologically protected vortex-like nanometric spin textures in magnets, have been attracting increasing attention for emergent electromagnetic responses and possible technological applications for spintronics. In particular,…

Mesoscale and Nanoscale Physics · Physics 2015-07-03 Y. Tokunaga , X. Z. Yu , J. S. White , H. M. Rønnow , D. Morikawa , Y. Taguchi , Y. Tokura

We investigate the impact of the local spin texture on the differential conductance by scanning tunneling microscopy. In the focus is the previously found non-collinear magnetoresistance, which originates from spin mixing effects upon…

Materials Science · Physics 2017-04-05 André Kubetzka , Christian Hanneken , Roland Wiesendanger , Kirsten von Bergmann

Recent advances in atomic and nano-scale growth and characterization techniques have led to the production of modern magnetic materials and magneto-devices which reveal a range of new fascinating phenomena. The modeling of these is a tough…

Mesoscale and Nanoscale Physics · Physics 2009-09-29 S. Sanvito

Noncollinear antiferromagnets offer much promise for antiferromagnetic spintronics and neuromorphic applications with a plethora of functional properties surpassing many competing magnetic systems. Films grown on mismatched substrates may…

Neurons in the brain behave as non-linear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behavior to realize high density, low power neuromorphic computing will require huge…

Skyrmions with topologically stable configurations have shown a promising route toward magnetic and photonic materials for information processing due to their defect-immune and low-driven energy. However, the practical application of…

Applied Physics · Physics 2022-09-27 Liyun Cao , Sheng Wan , Yi Zeng , Yifan Zhu , Badreddine Assouar

Neuromorphic computing using spin waves is promising for high-speed nanoscale devices, but the realization of high performance has not yet been achieved. Here we show, using micromagnetic simulations and simplified theory with response…

Applied Physics · Physics 2023-01-06 Satoshi Iihama , Yuya Koike , Shigemi Mizukami , Natsuhiko Yoshinaga

Controlling the magnetic order of antiferromagnets is challenging due to their vanishing net magnetization. For this reason, the study of local spin textures in antiferromagnets is restricted by the difficulty in nucleating such states.…

Mesoscale and Nanoscale Physics · Physics 2023-11-27 Miina Leiviskä , Sarah Jenkins , Richard F. L. Evans , Daria Gusakova , Vincent Baltz

Antiferromagnetic spintronics is an emerging area of quantum technologies that leverage the coupling between spin and orbital degrees of freedom in exotic materials. Spin-orbit interactions allow spin or angular momentum to be injected via…

Strongly Correlated Electrons · Physics 2022-10-10 Shannon C. Haley , Eran Maniv , Tessa Cookmeyer , Susana Torres-Londono , Meera Aravinth , Joel Moore , James G. Analytis

Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where the dynamical properties of electrons and ions strongly depend on the history of the system, at least within certain time scales. We review here…

Mesoscale and Nanoscale Physics · Physics 2011-03-02 Yuriy V. Pershin , Massimiliano Di Ventra

We demonstrate the emergence of an anomalous Hall effect in chiral magnetic textures which is neither proportional to the net magnetization nor to the well-known emergent magnetic field that is responsible for the topological Hall effect.…

Mesoscale and Nanoscale Physics · Physics 2020-03-11 Fabian R. Lux , Frank Freimuth , Stefan Blügel , Yuriy Mokrousov

Writing, erasing and computing are three fundamental operations required by any working electronic devices. Magnetic skyrmions could be basic bits in promising in emerging topological spintronic devices. In particular, skyrmions in chiral…

Mesoscale and Nanoscale Physics · Physics 2022-04-06 Weiwei Wang , Dongsheng Song , Wensen Wei , Pengfei Nan , Shilei Zhang , Binghui Ge , Mingliang Tian , Jiadong Zang , Haifeng Du

We propose a spintronics-based hardware implementation of neuromorphic computing, specifically, the spiking neural network, using topological winding textures in one-dimensional antiferromagnets. The consistency of such a network is…

Mesoscale and Nanoscale Physics · Physics 2020-11-18 Shu Zhang , Yaroslav Tserkovnyak

Magnetic skyrmions are topologically-protected spin textures existing in helimagentic materials, which can be utilized as information carriers for non-volatile memories and logic circuits in spintronics. Searching simple and controllable…

Mesoscale and Nanoscale Physics · Physics 2020-01-08 Ya-qing Zheng , Yong Wang

The creation and manipulation of magnetic skyrmions in magnetic bilayer heterostructures via spin-orbit torque have been intensively studied in spintronics because of their potential application as information carriers in next-generation…

Mesoscale and Nanoscale Physics · Physics 2025-05-09 Yuto Uwabo , Masahito Mochizuki

Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamaterials, microfluidic networks, chemical reaction systems, and…

Neural and Evolutionary Computing · Computer Science 2026-05-29 Stefan Fischer , Nihat Ay , Olaf Landsiedel , Esfandiar Mohammadi , Sebastian Otte , Bernd-Christian Renner , Nele Rußwinkel

Magnetic skyrmions (MS) are particle-like spin structures with whirling configuration, which are promising candidates for spin-based memory. MS contains alluring features including remarkably high stability, ultra low driving current…

Applied Physics · Physics 2017-05-04 Mei-Chin Chen , Kaushik Roy

Hierarchical temporal memory (HTM) tries to mimic the computing in cerebral-neocortex. It identifies spatial and temporal patterns in the input for making inferences. This may require large number of computationally expensive tasks like,…

Emerging Technologies · Computer Science 2016-11-17 Deliang Fan , Mrigank Sharad , Abhronil Sengupta , Kaushik Roy

Topological spin textures, like skyrmions, have significant potential for spintronics applications. The main purpose of this work is to study further the topological spin textures on the discrete lattice with magnetic fields. In this work,…

Strongly Correlated Electrons · Physics 2022-04-26 Lipeng Jin , Bin Xi , Yongjun Liu
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