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As Moore's law is gradually losing its effectiveness, developing alternative high-speed and low-energy-consuming information technology with post-silicon advanced materials is urgently needed. The successful application of tunneling…

Materials Science · Physics 2024-06-12 Lishu Zhang , Jun Zhou , Hui Li , Lei Shen , Yuan Ping Feng

A model of a spin valve in which electron transport between the magnetized electrodes is due to multistep tunneling is analyzed. Motivated by recent experiments on organic spin valves, we assume that spin memory loss in the course of…

Mesoscale and Nanoscale Physics · Physics 2015-06-16 R. C. Roundy , M. E. Raikh

We demonstrate that thermally stable perpendicular magnetic tunnel junctions (pMTJs), widely used in spin-transfer torque magnetic random-access memory, can be actuated with nanosecond pulses to exhibit tunable stochastic behavior. This…

Mesoscale and Nanoscale Physics · Physics 2026-01-15 Ahmed Sidi El Valli , Michael Tsao , Dairong Chen , Andrew D. Kent

The coexistence and coupling between magnetization and electric polarization in multiferroic materials provide extra degrees of freedom for creating next-generation memory devices. A variety of concepts of multiferroic or magnetoelectric…

Materials Science · Physics 2016-06-23 Jianxin Shen , Junzhuang Cong , Dashan Shang , Yisheng Chai , Shipeng Shen , Kun Zhai , Young Sun

The domain wall-magnetic tunnel junction (DW-MTJ) is a versatile device that can simultaneously store data and perform computations. These three-terminal devices are promising for digital logic due to their nonvolatility, low-energy…

All-oxide magnetic tunnel junctions (MTJs) incorporating functional materials as insulating barriers have the potential of becoming the founding technology for novel multi-functional devices. We investigate, by first-principles density…

Materials Science · Physics 2015-05-20 Nuala M. Caffrey , Thomas Archer , Ivan Rungger , Stefano Sanvito

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

Topological spin textures such as magnetic skyrmions hold considerable promise as robust, nanometre-scale, mobile bits for sustainable computing. A longstanding roadblock to unleashing their potential is the absence of a device enabling…

Random assemblies of magnetic nanowires represent a unique class of materials with promising applications in spintronics and information storage. These assemblies exhibit complex behavior due to the combination of magnetic dipolar…

Statistical Mechanics · Physics 2025-07-29 Frank Barrows , Ezio Iacocca , Francesco Caravelli

We study the electro-physical properties of the Fe/MgO/Fe magnetic tunnel junctions (MTJ). Sample structures are fabricated on top of glass-ceramic substrates by e-beam evaporation in a relatively low vacuum (~10^-4 Torr). The influence of…

Materials Science · Physics 2012-10-19 A. Filatov , A. Pogorelov , Ye. Pogoryelov

We numerically investigate the effect of magnetic and electrical damages at the edge of a perpendicular magnetic random access memory (MRAM) cell on the spin-transfer-torque (STT) efficiency that is defined by the ratio of thermal stability…

Materials Science · Physics 2015-09-02 Kyungmi Song , Kyung-Jin Lee

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

There have been a plethora of research on multi-level memory devices, where the resistive random-access memory (RRAM) is a prominent example. Although it is easy to write an RRAM device into multiple (even quasi-continuous) states, it…

Emerging Technologies · Computer Science 2024-10-29 Yongxiang Li , Shiqing Wang , Zhong Sun

We investigate spin-dependent conductance across a magnetic tunnel junction (MTJ) including a ferromagnetic insulating barrier. The MTJ consists of two half-metallic ferromagnetic La2/3Sr1/3MnO3 (LSMO) manganites as electrodes and La2NiMnO6…

Applied Physics · Physics 2022-12-09 M. Abbasi Eskandari , S. Ghotb , P. Fournier

Magnetic tunnel junctions are nanoscale devices which have recently attracted interested in the context of frequency multiplexed spintronic neural networks, due to their interesting dynamical properties, which are defined during the…

Applied Physics · Physics 2024-08-29 Maksim Stebliy , Alex S. Jenkins , Luana Benetti , Elvira Paz , Ricardo Ferreira

It looks very attractive to coordinate racetrack-memory (RM) and stochastic-computing (SC) jointly to build an ultra-low power neuron-architecture.However, the above combination has always been questioned in a fatal weakness that the heavy…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-23 Jihe Wang , Zhiying Zhang , Xingwu Dong , Danghui Wang

This paper presents a physics-based modeling framework for the analysis and transient simulation of circuits containing Spin-Transfer Torque (STT) Magnetic Tunnel Junction (MTJ) devices. The framework provides the tools to analyze the…

Emerging Technologies · Computer Science 2021-06-10 Fernando García-Redondo , Pranay Prabhat , Mudit Bhargava , Cyrille Dray

Multiferroic tunnel junctions (MFTJs) have aroused significant interest due to their functional properties useful for non-volatile memory devices. So far, however, all the existing MFTJs have been based on perovskite-oxide heterostructures…

Mesoscale and Nanoscale Physics · Physics 2020-12-08 Yurong Su , Xinlu Li , Meng Zhu , Jia Zhang , Long You , Evgeny Y. Tsymbal

Physical devices exhibiting stochastic functions with low energy consumption and high device density have the potential to enable complex probability-based computing algorithms, accelerate machine learning tasks, and enhance hardware…

Materials Science · Physics 2024-09-17 Dooyong Koh , Qiuyuan Wang , Brooke C. McGoldrick , Chung-Tao Chou , Luqiao Liu , Marc A. Baldo

Spin-transfer magnetic random access memory is of significant interest for cryogenic applications where a persistent, fast, low-energy consumption and high device density is needed. Here we report the low-temperature nanosecond duration…

Applied Physics · Physics 2019-10-31 Laura Rehm , Georg Wolf , Bartek Kardasz , Mustafa Pinarbasi , Andrew D. Kent