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Related papers: Spin torque building blocks

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In this paper we discuss the potential of emerging spintorque devices for computing applications. Recent proposals for spinbased computing schemes may be differentiated as all-spin vs. hybrid, programmable vs. fixed, and, Boolean vs.…

Disordered Systems and Neural Networks · Physics 2013-08-19 Kaushik Roy , Mrigank Sharad , Deliang Fan , Karthik Yogendra

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

The ability of spintronic devices to utilize an electric current for manipulating the magnetization has resulted in large-scale developments, such as, magnetic random access memories and boosted the spintronic research area. In this regard,…

Mesoscale and Nanoscale Physics · Physics 2018-08-22 Rajagopalan Ramaswamy , Jong Min Lee , Kaiming Cai , Hyunsoo Yang

Spin-orbit coupling in inversion-asymmetric magnetic crystals and structures has emerged as a powerful tool to generate complex magnetic textures, interconvert charge and spin under applied current, and control magnetization dynamics.…

Mesoscale and Nanoscale Physics · Physics 2019-10-02 A. Manchon , J. Zelezný , I. M. Miron , T. Jungwirth , J. Sinova , A. Thiaville , K. Garello , P. Gambardella

Recent years have witnessed growing interest in the field of brain-inspired computing based on neural-network architectures. In order to translate the related algorithmic models into powerful, yet energy-efficient cognitive-computing…

Disordered Systems and Neural Networks · Physics 2015-06-17 Mrigank Sharad , D. Fan , Kaushik Roy

Memristors are non-volatile nano-resistors. Their resistance can be tuned by applied currents or voltages and set to a large number of levels between two limit values. Thanks to these properties, memristors are ideal building blocks for a…

Mesoscale and Nanoscale Physics · Physics 2016-05-26 Steven Lequeux , Joao Sampaio , Vincent Cros , Kay Yakushiji , Akio Fukushima , Rie Matsumoto , Hitoshi Kubota , Shinji Yuasa , Julie Grollier

The field of magnonics, which utilizes propagating spin waves for nano-scale transmission and processing of information, has been significantly advanced by the advent of the spin-orbit torque. The latter phenomenon can allow one to overcome…

Mesoscale and Nanoscale Physics · Physics 2020-05-05 V. E. Demidov , S. Urazhdin , A. Anane , V. Cros , S. O. Demokritov

The emerging field of nano-magnonics utilizes high-frequency waves of magnetization - the spin waves - for the transmission and processing of information on the nanoscale. The advent of spin-transfer torque has spurred significant advances…

Mesoscale and Nanoscale Physics · Physics 2018-07-06 Boris Divinskiy , Vladislav E. Demidov , Sergei Urazhdin , Ryan Freeman , Anatoly B. Rinkevich , Sergej O. Demokritov

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…

Spin-based memories are attractive for their non-volatility and high durability but provide modest resistance changes, whereas semiconductor logic transistors are capable of large resistance changes, but lack memory function with high…

Development of future sensor, memory, and computing nanodevices based on novel physical concepts is one of the significant research endeavors in solid-state research. The field of spintronics is one such promising area of nanoelectronics…

Materials Science · Physics 2021-02-03 Rahul Mishra , Hyunsoo Yang

Spintronics, a transformative field of research, leverages the spin of electron to revolutionize electronic devices, offering significant advantages over traditional charge-based systems. This chapter highlights the critical role of novel…

Materials Science · Physics 2025-02-03 A. Sud , A. Kumar , M. Cubukcu

Neuromorphic computing uses brain-inspired principles to design circuits that can perform computational tasks with superior power efficiency to conventional computers. Approaches that use traditional electronic devices to create artificial…

Applied Physics · Physics 2020-07-14 J. Grollier , D. Querlioz , K. Y. Camsari , K. Everschor-Sitte , S. Fukami , M. D. Stiles

Spintronics, the use of spin of an electron instead of its charge, has received huge attention from research communities for different applications including memory, interconnects, logic implementation, neuromorphic computing, and many…

The growing demand for artificial intelligence and complex computing has underscored the urgent need for advanced data storage technologies. Spin-orbit torque (SOT) has emerged as a leading candidate for high-speed, high-density magnetic…

Magnetic materials with strong perpendicular magnetic anisotropy are of great interest for the development of nonvolatile magnetic memory and computing technologies due to their high stabilities at the nanoscale. However, electrical…

Materials Science · Physics 2023-04-04 Lijun Zhu

Nanoelectronic devices that mimic the functionality of synapses are a crucial requirement for performing cortical simulations of the brain. In this work we propose a ferromagnet-heavy metal heterostructure that employs spin-orbit torque to…

Emerging Technologies · Computer Science 2015-06-23 Abhronil Sengupta , Zubair Al Azim , Xuanyao Fong , Kaushik Roy

Terahertz spintronics offers the prospect of devices which are both faster and more energy-efficient. A promising route to achieve this goal is to exploit current-induced spin-orbit torques. However, the high-frequency properties of these…

Mesoscale and Nanoscale Physics · Physics 2020-12-21 Filipe S. M. Guimarães , Juba Bouaziz , Manuel dos Santos Dias , Samir Lounis

Voltage-driven spin transfer torques in magnetic tunnel junctions provide an outstanding tool to design advanced spin-based devices for memory and reprogrammable logic applications. The non-linear voltage dependence of the torque has a…

Mesoscale and Nanoscale Physics · Physics 2015-06-05 A. Manchon

Recent fabrication of atomic precision nanodevices for spintronics greatly boosted their performance and also revealed new interesting features, as oscillating magnetoresistance with number of atomic layers in a multilayered structure. This…

Materials Science · Physics 2013-05-29 H. G. Silva , Y. G. Pogorelov
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