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Spintronics has gone through substantial progress due to its applications in energy-efficient memory, logic and unconventional computing paradigms. Multilayer ferromagnetic thin films are extensively studied for understanding the domain…

Magnetic skyrmion, topologically non-trivial spin texture, has been considered as promising information carrier in future electronic devices because of its nanoscale size, low depinning current density and high motion velocity. Despite the…

Applied Physics · Physics 2020-05-27 Haoyang Zhang , Daoqian Zhu , Wang Kang , Youguang Zhang , Weisheng Zhao

Magnetic skyrmions are particle-like textures in the magnetization, characterized by a topological winding number. Nanometer-scale skyrmions have been observed at room temperature in magnetic multilayer structures. The combination of small…

Strongly Correlated Electrons · Physics 2017-02-14 Jan Müller

Magnetic skyrmion technology is promising for the next-generation spintronics-based memory and neuromorphic computing due to their small size, non-volatility and low depinning current density. However, the Magnus force originating from the…

Mesoscale and Nanoscale Physics · Physics 2023-02-27 Debasis Das , Yunuo Cen , Jianze Wang , Xuanyao Fong

Skyrmionic devices exhibit energy-efficient and high-integration data storage and computing capabilities due to their small size, topological protection, and low drive current requirements. So, to realize these devices, an extensive study,…

Mesoscale and Nanoscale Physics · Physics 2023-09-08 Kishan K. Mishra , Aijaz H. Lone , Srikant Srinivasan , Hossein Fariborzi , Gianluca Setti

Magnetic skyrmions are localized swirls of magnetization with a non-trivial topological winding number. This winding increases their robustness to superparamagnetism and gives rise to a myriad of novel dynamical properties, making them…

Mesoscale and Nanoscale Physics · Physics 2020-04-29 Richard Brearton , Gerrit van der Laan , Thorsten Hesjedal

Neuromorphic architectures offer great promise for achieving computation capacities beyond conventional Von Neumann machines. The essential elements for achieving this vision are highly scalable synaptic mimics that do not undermine…

Emerging Technologies · Computer Science 2015-07-09 Radu Berdan , Eleni Vasilaki , Ali Khiat , Giacomo Indiveri , Alexandru Serb , Themistoklis Prodromakis

A large effort is devoted to the research of new computing paradigms associated to innovative nanotechnologies that should complement and/or propose alternative solutions to the classical Von Neumann/CMOS association. Among various…

Mesoscale and Nanoscale Physics · Physics 2012-02-09 F. Alibart , S. Pleutin , O. Bichler , C. Gamrat , T. Serrano-Gotarredona , B. Linares-Barranco , D. Vuillaume

This work proposes a novel logic device (SkyLogic) based on skyrmions, which are magnetic vortex-like structures that have low depinning current density and are robust to defects. A charge current sent through a polarizer ferromagnet (P-FM)…

Emerging Technologies · Computer Science 2019-05-01 Meghna G. Mankalale , Zhengyang Zhao , Jian-Ping Wang , Sachin S. Sapatnekar

Skyrmions have been proposed as new information carriers in racetrack memory devices. To realise such devices, a small size; high speed of propagation; and minimal skyrmion Hall angle are required. Synthetic antiferromagnets (SAFs) present…

Mesoscale and Nanoscale Physics · Physics 2025-08-01 Christopher E. A. Barker , Charles Parton-Barr , Christopher H. Marrows , Olga Kazakova , Craig Barton

Magnetic skyrmions are localized, topologically protected spin-structures that have been proposed for storing or processing information due to their intriguing dynamical and transport properties. Important in terms of applications is the…

Materials Science · Physics 2016-06-07 B. Dupé , G. Bihlmayer , S. Blügel , S. Heinze

Molecule-based devices are envisioned to complement silicon devices by providing new functions or already existing functions at a simpler process level and at a lower cost by virtue of their self-organization capabilities. Moreover, they…

Mesoscale and Nanoscale Physics · Physics 2010-02-04 F. Alibart , S. Pleutin , D. Guerin , C. Novembre , S. Lenfant , K. Lmimouni , C. Gamrat , D. Vuillaume

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

Magnetic skyrmions are emerging as key elements of unconventional operations having unique properties such as small size and low current manipulation. In particular, it is possible to design skyrmion-based neurons and synapses for…

Neuromorphic chip refers to an unconventional computing architecture that is modelled on biological brains. It is ideally suited for processing sensory data for intelligence computing, decision-making or context cognition. Despite rapid…

Emerging Technologies · Computer Science 2016-09-09 Shuchao Qin , Fengqiu Wang , Yujie Liu , Qing Wan , Xinran Wang , Yongbing Xu , Yi Shi , Xiaomu Wang , Rong Zhang

Magnetic skyrmions are nanoscale spin textures touted as next-generation computing elements. When subjected to lateral currents, skyrmions move at considerable speeds. Their topological charge results in an additional transverse deflection…

Magnetic skyrmions, renowned for their fascinating electromagnetic properties, hold potential for next-generation topological spintronic devices. Recent advancements have unveiled a rich tapestry of 3D topological magnetism. Nevertheless,…

Mesoscale and Nanoscale Physics · Physics 2025-12-11 Yaodong Wu , Jialiang Jiang , Weiwei Wang , Lingyao Kong , Shouguo Wang , Mingliang Tian , Haifeng Du , Jin Tang

Memristors can mimic the functions of biological synapse, where it can simultaneously store the synaptic weight and modulate the transmitted signal. Here, we report Nb/Nb2O5/Pt based memristors with bipolar resistive switching, exhibiting…

Applied Physics · Physics 2019-10-02 Sweety Deswal , Ashok Kumar , Ajeet Kumar

Deep Spiking Neural Networks are becoming increasingly powerful tools for cognitive computing platforms. However, most of the existing literature on such computing models are developed with limited insights on the underlying hardware…

Emerging Technologies · Computer Science 2016-08-24 Abhronil Sengupta , Maryam Parsa , Bing Han , Kaushik Roy

Magnetic skyrmions are promising information carriers for building future high-density and high-speed spintronic devices. However, to achieve a current-driven high-speed skyrmion motion, the required driving current density is usually very…