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Future generations of magnetic random access memory demand magnetic tunnel junctions that can provide simultaneously high magnetoresistance, strong retention, low switching energy and small cell size below 10nm. Here we study perpendicular…

Efficient generation of spin currents from charge currents is of high importance for memory and logic applications of spintronics. In particular, generation of spin currents from charge currents in high spin-orbit coupling metals has the…

A new genre of Spin-Transfer Torque (STT) MRAM is proposed, in which bi-directional writing is achieved using thermoelectrically controlled magnonic current as an alternative to conventional electric current. The device uses a magnetic…

Materials Science · Physics 2011-08-12 Niladri N. Mojumder , Kaushik Roy , David W. Abraham

We study ns scale spin-torque-induced switching in perpendicularly magnetized tunnel junctions (pMTJ). Although the switching voltages match with the macrospin instability threshold, the electrical signatures of the reversal indicate the…

Mesoscale and Nanoscale Physics · Physics 2016-02-03 T. Devolder , Joo-Von Kim , F. Garcia-Sanchez , J. Swerts , W. Kim , S. Couet , G. Kar , A. Furnemont

Since the discovery of the spin orbit torque (SOT) induced by spin Hall effect in heavy metals, much effort has been devoted to understanding the mechanism of the charge-to-spin conversion as well as to developing new schemes for high…

Mesoscale and Nanoscale Physics · Physics 2022-04-15 Shengjie Shi , R. A. Buhrman

The switching speed and the write current required for spin-transfer-torque reversal of spintronic devices such as magnetic tunnel junctions (MTJ) currently hinder their wide implementation into memory and logic devices. This problem is…

Mesoscale and Nanoscale Physics · Physics 2016-09-27 Kerem Yunus Camsari , Ahmed Zeeshan Pervaiz , Rafatul Faria , Ernesto E. Marinero , Supriyo Datta

The tuning of sensitivity and dynamic range in linear magnetic sensors is required in various applications. We demonstrate the control and design of the sensitivity in magnetic tunnel junction (MTJ) sensors with a vortex-type sensing layer.…

Applied Physics · Physics 2022-02-02 Motoki Endo , Muftah Al-Mahdawi , Mikihiko Oogane , Yasuo Ando

Antiferromagnetic (AFM) spintronics has emerged as a subfield of spintronics, where an AFM N\'eel vector is used as a state variable. Efficient electric control and detection of the N\'eel vector are critical for spintronic applications.…

Materials Science · Physics 2024-06-07 Ding-Fu Shao , Evgeny Y. Tsymbal

A new mechanism different from the spin accumulation picture is proposed for the current induced magnetization switching in magnetic tunnel junctions by taking into account the effect of the electron electron interaction. We found in tunnel…

Materials Science · Physics 2007-05-23 Z. F. Lin , S. T. Chui , L. B. Hu

Magnetic droplets, a class of highly non-linear magnetodynamical solitons, can be nucleated and stabilized in nanocontact spin-torque nano-oscillators where they greatly increase the microwave output power. Here, we experimentally…

We present tight-binding calculations of the spin torque in non-collinear magnetic tunnel junctions based on the non-equilibrium Green functions approach. We have calculated the spin torque via the effective local magnetic moment approach…

Other Condensed Matter · Physics 2007-05-23 A. Kalitsov , I. Theodonis , N. Kioussis , M. Chshiev , W. H. Butler , A. Vedyayev

Spin-transfer torques (STTs) can be exploited in order to manipulate the magnetic moments of nanomagnets, thus allowing for new consumer-oriented devices to be designed. Of particular interest here are tuneable radio-frequency (RF)…

Theoretical investigations of spin transfer torque in magnetic tunnel junctions using the tight-binding model in the framework of non-equilibrium Green functions formalism are presented. We show that the behavior of the spin transfer torque…

Materials Science · Physics 2009-11-13 M. Chshiev , I. Theodonis , A. Kalitsov , N. Kioussis , W. H. Butler

Magnetic tunnel junctions (MTJs) are key enablers of spintronic technologies used in a variety of applications including information storage, microwave generation and detection, as well as unconventional computing. Here, we present…

Mesoscale and Nanoscale Physics · Physics 2025-03-12 Andrea Meo , Chengcen Sha , Emily Darwin , Riccardo Tomasello , Mario Carpentieri , Ilya N. Krivorotov , Giovanni Finocchio

Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic…

Emerging Technologies · Computer Science 2017-12-20 Abhronil Sengupta , Kaushik Roy

With ultra-fast writing capacity and high reliability, the spin-orbit torque is regarded as a promising alternative to fabricate next-generation magnetic random access memory. However, the three-terminal setup can be challenging when…

Applied Physics · Physics 2017-06-07 Ming-Han Tsai , Po-Hung Lin , Kuo-Feng Huang , Hsiu-Hau Lin , Chih-Huang Lai

We present measurements of magnetic tunnel junctions made using a self-assembled-monolayer molecular barrier. Ni/octanethiol/Ni samples were fabricated in a nanopore geometry. The devices exhibit significant changes in resistance as the…

Mesoscale and Nanoscale Physics · Physics 2010-10-05 J. R. Petta , S. K. Slater , D. C. Ralph

It has been reported in experiments that capping layers which enhance the perpendicular magnetic anisotropy (PMA) of magnetic tunnel junctions (MTJs) induce great impact on the tunnel magnetoresistance (TMR). To explore the essential…

Computational Physics · Physics 2017-01-02 Jiaqi Zhou , Weisheng Zhao , Yin Wang , Shouzhong Peng , Junfeng Qiao , Li Su , Lang Zeng , Na Lei , Lei Liu , Youguang Zhang , Arnaud Bournel

Graphical probabilistic circuit models of stochastic computing are more powerful than the predominant deep learning models, but also have more demanding requirements. For example, they require "programmable stochasticity", e.g. generating…

Mesoscale and Nanoscale Physics · Physics 2023-01-24 M. T. McCray , Md Ahsanul Abeed , Supriyo Bandyopadhyay

Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-efficient Logic-in-Memory (LIM) architectures based on non-volatile resistive memory devices. The SIMPLY logic is enabled by adding a comparator…

Emerging Technologies · Computer Science 2022-06-01 Raffaele De Rose , Tommaso Zanotti , Francesco Maria Puglisi , Felice Crupi , Paolo Pavan , Marco Lanuzza
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