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Over the past decade, utilizing spin currents in the linear response of electric field to manipulate magnetization states via spin-orbit torques (SOTs) is one of the core concepts for realizing a multitude of spintronic devices. Besides the…

In neuromorphic computing, artificial synapses provide a multi-weight conductance state that is set based on inputs from neurons, analogous to the brain. Additional properties of the synapse beyond multiple weights can be needed, and can…

We describe a spin logic device with controllable magnetization switching of perpendicularly magnetized ferromagnet / heavy metal structures on a ferroelectric (1-x)[Pb(Mg1/3Nb2/3)O3]-x[PbTiO3] (PMN-PT) substrate using current-induced…

Orchestration of diverse synaptic plasticity mechanisms across different timescales produces complex cognitive processes. To achieve comparable cognitive complexity in memristive neuromorphic systems, devices that are capable to emulate…

Motivated by recent experiments observing a large antidamping spin-orbit torque (SOT) on the surface of a three-dimensional topological insulator, we investigate the origin of the current-induced SOT beyond linear-response theory. We find…

Mesoscale and Nanoscale Physics · Physics 2022-03-02 Yong-Long Zhou , Hou-Jian Duan , Yong-jia Wu , Ming-Xun Deng , Lan Wang , Dimitrie Culcer , Rui-Qiang Wang

Analog crossbar arrays consisting of emerging memory devices can greatly alleviate the computational strain required by vector matrix multiplications for neural network applications. The ability to produce spin orbit torque-magnetic…

Mesoscale and Nanoscale Physics · Physics 2025-11-05 Samuel Liu , Chen-Yu Hu , Ming-Yuan Song , Xinyu Bao , Jean Anne C. Incorvia

The deployment of AI on edge computing devices faces significant challenges related to energy consumption and functionality. These devices could greatly benefit from brain-inspired learning mechanisms, allowing for real-time adaptation…

Spin-orbit torque (SOT) magnetization switching of ferromagnets with large perpendicular magnetic anisotropy has a great potential for the next-generation non-volatile magnetoresistive random-access memory (MRAM). It requires a…

Mesoscale and Nanoscale Physics · Physics 2022-03-08 Tuo Fan , Nguyen Huynh Duy Khang , Soichiro Nakano , Pham Nam Hai

Spin orbit torque (SOT) provides an efficient way of generating spin current that promises to significantly reduce the current required for switching nanomagnets. However, an in-plane current generated SOT cannot deterministically switch a…

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

Antiferromagnets with zero net magnetic moment, strong anti-interference and ultrafast switching speed have potential competitiveness in high-density information storage. Body centered tetragonal antiferromagnet Mn2Au with opposite spin…

Materials Science · Physics 2018-04-17 X. F. Zhou , J. Zhang , F. Li , X. Z. Chen , G. Y. Shi , Y. Z. Tan , Y. D. Gu , M. S. Saleem , H. Q. Wu , F. Pan , C. Song

In an attempt to follow biological information representation and organization principles, the field of neuromorphic engineering is usually approached bottom-up, from the biophysical models to large-scale integration in silico. While ideal…

Neural and Evolutionary Computing · Computer Science 2020-05-14 Charlotte Frenkel , Jean-Didier Legat , David Bol

The development of magnetic heterostructures with strong spin-orbit torques (SOTs), low impedance, strong perpendicular magnetic anisotropy (PMA), and good integration compatibility at the same time is central for high-performance…

Materials Science · Physics 2025-08-20 Zhihao Yan , Zhengxiao Li , Lujun Zhu , Xin Lin , Lijun Zhu

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…

Finding efficient ways of manipulating magnetic bits is one of the core goals in spintronic research. Electrically-generated spin-orbit torques (SOTs) are good candidates for this and the search for materials capable of generating…

Mesoscale and Nanoscale Physics · Physics 2020-08-31 Casper F. Schippers , Henk J. M. Swagten , Marcos H. D. Guimarães

It has been demonstrated that the switching of perpendicular magnetization can be achieved with spin orbit torque (SOT) at an ultrafast speed and low energy consumption. However, to make the switching deterministic, an undesirable magnetic…

Applied Physics · Physics 2019-07-24 Zhaohao Wang , Zuwei Li , Min Wang , Bi Wu , Daoqian Zhu , Weisheng Zhao

Previous studies have demonstrated spin-orbit torque (SOT) switching of Mn3Sn where the spin polarization lies in the kagome plane (configuration I). However, the critical current density ($ J_{crit}$) is unrealistically large ($…

Mesoscale and Nanoscale Physics · Physics 2023-08-17 Zhengde Xu , Xue Zhang , Yixiao Qiao , Gengchiau Liang , Shuyuan Shi , Zhifeng Zhu

The human brain achieves exceptional energy efficiency by co-locating memory and processing, yet reproducing this principle in hardware remains challenging because many neuromorphic devices require standby power, offer limited…

Antiferromagnets are outstanding candidates for the next generation of spintronic applications, with great potential for downscaling and decreasing power consumption. Recently, the manipulation of bulk properties of antiferromagnets has…

Applied Physics · Physics 2020-02-05 X. H. Liu , K. W. Edmonds , Z. P. Zhou , K. Y. Wang

Combining spin-orbit (SOT) and spin-transfer torques (STT) provides a practical approach for field-free switching in spin-orbit torque magnetic random-access memory (SOT-MRAM), a prerequisite for industrial deployment, but can compromise…

Mesoscale and Nanoscale Physics · Physics 2026-05-27 Kuldeep Ray , Jérémie Vigier , Sylvain Martin , Chloé Bouard , Nicolas Lefoulon , Marc Drouard , Gilles Gaudin