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Current induced magnetization switching by spin-orbit torques offers an energy-efficient means of writing information in heavy metal/ferromagnet (FM) multilayer systems. The relative contributions of field-like torques and damping-like…

Mesoscale and Nanoscale Physics · Physics 2015-10-12 Meiyin Yang , Kaiming Cai , Hailang Ju , Kevin William Edmonds , Guang Yang , Shuai Liu , Baohe Li , Bao Zhang , Yu Sheng , Shouguo Wang , Yang Ji , Kaiyou Wang

The discovery of spin-orbit torques (SOTs) generated through the spin Hall or Rashba effects provides an alternative write approach for magnetic random-access memory (MRAM), igniting the development of spin-orbitronics in recent years.…

Mesoscale and Nanoscale Physics · Physics 2024-01-09 Hanying Zhang , Qianwen Zhao , Baiqing Jiang , Yuan Wang , Tunan Xie , Kaihua Lou , ChaoChao Xia , C. Bi

Recent studies on the magneto-transport properties of topological insulators (TI) have attracted great attention due to the rich spin-orbit physics and promising applications in spintronic devices. Particularly the strongly spin-moment…

Materials Science · Physics 2017-08-23 Jiahao Han , A. Richardella , Saima Siddiqui , Joseph Finley , N. Samarth , Luqiao Liu

Realizing deterministic current-induced spin-orbit torque (SOT) magnetization switching, especially in systems exhibiting perpendicular magnetic anisotropy (PMA), typically requires the application of a collinear in-plane field, posing a…

Applied Physics · Physics 2024-07-08 Zhe Zhang , Zhuoyi Li , Yuzhe Chen , Fangyuan Zhu , Yu Yan , Yao Li , Liang He , Jun Du , Rong Zhang , Jing Wu , Xianyang Lu , Yongbing Xu

Spin-orbit torques (SOTs) have opened a novel way to manipulate the magnetization using in-plane current, with a great potential for the development of fast and low power information technologies. It has been recently shown that…

While current-induced spin-orbit torques (SOTs) have been extensively studied in ferromagnets and antiferromagnets, ferrimagnets have been less studied. Here we report the presence of enhanced spin-orbit torques resulting from negative…

Materials Science · Physics 2017-05-24 Rahul Mishra , Jiawei Yu , Xuepeng Qiu , M. Motapothula , T. Venkatesan , Hyunsoo Yang

We present theoretical studies of the intrinsic spin orbit torque (SOT) in a single domain ferromagnetic layer with Rashba spin-orbit coupling (SOC) using the non-equilibrium Green's function formalism for a model Hamiltonian. We find that,…

Mesoscale and Nanoscale Physics · Physics 2018-01-03 A. Kalitsov , S. A. Nikolaev , J. Velev , M. Chshiev , O. Mryasov

Voltage control of magnetism and spintronics have been highly desirable, but rarely realized. In this work, we show voltage-controlled spin-orbit torque (SOT) switching in W/CoFeB/MgO films with perpendicular magnetic anisotropy (PMA) with…

Materials Science · Physics 2021-02-04 Jinsong Xu , C. L. Chien

An experimental study of current-induced magnetization reversal of the Ru/Co/Ru and Ru/Co/Ru/W structures was carried out. In the considered structures, due to the small value of the coercive force comparable in magnitude to the Oersted…

Mesoscale and Nanoscale Physics · Physics 2019-05-22 M. E. Stebliy , A. G. Kolesnikov , A. V. Ognev , E. V. Stebliy , X. Wang , H. F. Han , A. S. Samardak

This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence and machine learning faces significant challenges related to…

Applied Physics · Physics 2025-06-10 Steven Louis , Hannah Bradley , Cody Trevillian , Andrei Slavin , Vasyl Tyberkevych

Magnetization switching by spin-orbit torque (SOT) via spin Hall effect represents as a competitive alternative to that by spin-transfer torque (STT) used for magnetoresistive random access memory (MRAM), as it does not require high-density…

Materials Science · Physics 2019-02-19 Yang Liu , Bing Zhou , Jian-Gang Zhu

Electron transfer (ET) in biological molecules such as peptides and proteins consists of electrons moving between well defined localized states (donors to acceptors) through a tunneling process. Here we present an analytical model for ET by…

Mesoscale and Nanoscale Physics · Physics 2020-07-01 Solmar Varela , Iskra Zambrano , Bertrand Berche , Vladimiro Mujica , Ernesto Medina

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…

Current-induced magnetization excitation is a core phenomenon for next-generation magnetic nanodevices, and has been attributed to the spin-transfer torque (STT) that originates from the transfer of the spin angular momentum between a…

Materials Science · Physics 2016-03-30 K. J. Kim , T. Moriyama , T. Koyama , D. Chiba , S. W. Lee , S. J. Lee , K. J. Lee , H. W. Lee , T. Ono

Spin-Orbit Torque (SOT) Magnetic Random-Access Memory (MRAM) devices offer improved power efficiency, nonvolatility, and performance compared to static RAM, making them ideal, for instance, for cache memory applications. Efficient…

We investigate real-time dynamics of spin-polarized current in a quantum dot coupled to ferromagnetic leads in both parallel and antiparallel alignments. While an external bias voltage is taken constant in time, a gate terminal,…

Mesoscale and Nanoscale Physics · Physics 2011-12-22 Fabricio M. Souza , Thiago L. Carrara , E. Vernek

Using the linear response formalism for the spin-orbit torque (SOT) we compute from first principles the SOT in a system of two layers of L1$_0$-FePt(001) deposited on an fcc Pt(001) substrate of varying thickness. We find that at room…

Materials Science · Physics 2015-06-22 Guillaume Géranton , Frank Freimuth , Stefan Blügel , Yuriy Mokrousov

We consider current-induced spin-transfer torque on an antiferromagnet in a dual spin-valve setup. It is demonstrated that a net magnetization may be induced in the AFM by partially or completely aligning the sublattice magnetizations via a…

Mesoscale and Nanoscale Physics · Physics 2015-05-30 Jacob Linder

Spiking Neural Networks (SNNs) can do inference with low power consumption due to their spike sparsity. ANN-SNN conversion is an efficient way to achieve deep SNNs by converting well-trained Artificial Neural Networks (ANNs). However, the…

Neural and Evolutionary Computing · Computer Science 2023-03-24 Xiang He , Yang Li , Dongcheng Zhao , Qingqun Kong , Yi Zeng

MXenes have attracted considerable attention in recent years owing to their two-dimensional (2D) layered structures with various functionalities similar to those of graphene and transition metal dichalcogenides. To open a new application…

Mesoscale and Nanoscale Physics · Physics 2025-05-22 Prabhat Kumar , Yoshio Miura , Yoshinori Kotani , Akiho Sumiyoshiya , Tetsuya Nakamura , Gaurav K. Shukla , Shinji Isogami