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We demonstrate efficient current induced spin orbit torque switching in perpendicularly magnetized epitaxial MgO(001)//Pd/Co2FeAl/MgO heterostructures grown by magnetron sputtering. The advantage of such heterostructures for spin orbit…

Mesoscale and Nanoscale Physics · Physics 2020-05-27 M. S. Gabor , T. Petrisor , M. Nasui , M. A. Nsibi , J. Nath , I. M. Miron

Due to the massive parallel computing capability and outstanding image and signal processing performance, cellular neural network (CNN) is one promising type of non-Boolean computing system that can outperform the traditional digital logic…

Emerging Technologies · Computer Science 2016-09-21 Chenyun Pan , Azad Naeemi

We report that by measuring current-induced hysteresis loop shift versus in-plane bias magnetic field, the spin Hall effect (SHE) contribution of the current-induced effective field per current density, $\chi_{SHE}$, can be estimated for Pt…

Materials Science · Physics 2018-01-12 Chi-Feng Pai , Maxwell Mann , Aik Jun Tan , Geoffrey S. D. Beach

The spin Hall effect (SHE) generates spin currents within nonmagnetic materials. Previously, studies of the SHE have been motivated primarily to understand its fundamental origin and magnitude. Here we demonstrate, using measurement and…

Materials Science · Physics 2013-05-30 Luqiao Liu , O. J. Lee , T. J. Gudmundsen , D. C. Ralph , R. A. Buhrman

In this paper, we propose an energy efficient SW based approximate 4:2 compressor comprising a 3-input and a 5-input Majority gate. We validate our proposal by means of micromagnetic simulations, and assess and compare its performance with…

Mesoscale and Nanoscale Physics · Physics 2021-09-21 Abdulqader Mahmoud , Frederic Vanderveken , Florin Ciubotaru , Christoph Adelmann , Said Hamdioui , Sorin Cotofana

Neuromorphic computing, inspired by the brain's parallel and energy-efficient processing, offers a transformative approach to artificial intelligence. In this study, we fabricated optimized spin-transfer torque nano-oscillators (STNOs) and…

Lateral heterostructures of two-dimensional (2D) materials, integrating different phases or materials into a single piece of nanosheet, have attracted intensive research interests in the past few years for high-performance electronic and…

Materials Science · Physics 2020-05-04 Kaiyun Chen , Junkai Deng , Yuan Yan , Qian Shi , Tieyan Chang , Xiangdong Ding , Jun Sun , Sen Yang , Jefferson Zhe Liu

Stochastic computing (SC) has emerged as an efficient low-power alternative for deploying neural networks (NNs) in resource-limited scenarios, such as the Internet of Things (IoT). By encoding values as serial bitstreams, SC significantly…

Machine Learning · Computer Science 2025-08-14 Ziheng Wang , Pedro Reviriego , Farzad Niknia , Zhen Gao , Javier Conde , Shanshan Liu , Fabrizio Lombardi

A new magnetic logic overcomes the major limitations of field programmable gate arrays while having a 50% smaller unit cell than conventional designs utilizing magnetic tunnel junctions with one Heusler alloy electrode. These show positive…

In a two-dimensional arrangement of closely spaced elliptical nanomagnets with in-plane magnetic anisotropy, whose major axes are aligned along columns and minor axes along rows, dipole coupling will make the magnetic ordering…

Mesoscale and Nanoscale Physics · Physics 2019-08-05 Md Ahsanul Abeed , Supriyo Bandyopadhyay

A Boltzmann machine whose effective "temperature" can be dynamically "cooled" provides a stochastic neural network realization of simulated annealing, which is an important metaheuristic for solving combinatorial or global optimization…

Emerging Technologies · Computer Science 2019-05-16 Tong Wu , Huan Zhao , Fanxin Liu , Jing Guo , Han Wang

In this study, we have shown autonomous long-term prediction with a spintronic physical reservoir. Due to the short-term memory property of the magnetization dynamics, non-linearity arises in the reservoir states which could be used for…

Spin-based computing is emerging as a powerful approach for energy-efficient and high-performance solutions to future data processing hardware. Spintronic devices function by electrically manipulating the collective dynamics of the electron…

To address thermal stability issues for spintronic devices with a reduced size, we investigate spin-orbit torque in Co/Pt multilayers with strong perpendicular magnetic anisotropy. Note that the spin-orbit torque arises from the global…

Materials Science · Physics 2015-12-15 Kuo-Feng Huang , Ding-Shuo Wang , Hsiu-Hau Lin , Chih-Huang Lai

We systematically survey on Pt$_{x}$Cu$_{1-x}$/Co/MgO magnetic heterostructure with perpendicular magnetic anisotropy and report a significant improvement on spin-orbit torque switching efficiency in Pt-Cu alloy system. The largest…

Materials Science · Physics 2020-06-16 Chen-Yu Hu , Chi-Feng Pai

Spin-orbit torque provides an efficient pathway to manipulate the magnetic state and magnetization dynamics of magnetic materials, which is crucial for energy-efficient operation of a variety of spintronic devices such as magnetic memory,…

Mesoscale and Nanoscale Physics · Physics 2021-02-24 Hang Xie , Xin Chen , Ziyan Luo , Yihong Wu

Recently, altermagnetism (AM) has emerged as a new category of magnetism, alongside conventional antiferromagnetism (AFM) and ferromagnetism (FM). In an AM, superconductivity (SC) is faced with a dilemma that the spin-polarized bands,…

Superconductivity · Physics 2025-04-04 Jun Chang , Hantao Lu , Jize Zhao , Hong-Gang Luo , Yang Ding

In this paper, we present voltage- and current-mode differential magnetless non-reciprocal devices obtained by pairing two single-ended (SE) circulators, each consisting of three first-order bandpass or bandstop LC filters, connected in…

Signal Processing · Electrical Eng. & Systems 2018-08-10 Ahmed Kord , Dimitrios L. Sounas , Andrea Alù

Spintronic devices that utilize the spin degree of freedom of a charge carrier to store, process or transmit information, may be better performers than their traditional electronic counterparts if special properties of "spin" are exploited…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 S. Bandyopadhyay

Engineering and controlling heat and spin transport on the femtosecond time-scale in spintronic devices opens up new ways to manipulate magnetization with unprecedented speed. Yet the underlying reversal mechanisms remain poorly understood…

Mesoscale and Nanoscale Physics · Physics 2026-02-04 Harjinder Singh , Alberto Anadón , Junta Igarashi , Quentin Remy , Stéphane Mangin , Michel Hehn , Jon Gorchon , Gregory Malinowski
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