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Ternary content addressable memory (TCAM) has been a critical component in caches, routers, etc., in which density, speed, power efficiency, and reliability are the major design targets. There have been the conventional low-write-power but…

Emerging Technologies · Computer Science 2021-01-26 Hongtao Zhong , Shengjie Cao , Huazhong Yang , Xueqing Li

The storage industry is moving toward emerging non-volatile memories (NVMs), including the spin-transfer torque magnetoresistive random-access memory (STT-MRAM) and the phase-change memory (PCM), owing to their high density and low-power…

Emerging Technologies · Computer Science 2020-04-28 Nikhil Rangarajan , Satwik Patnaik , Johann Knechtel , Ozgur Sinanoglu , Shaloo Rakheja

Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm for heterogeneous computing, potentially delivering orders of magnitude better peak performance and efficiency over traditional digital signal processing architectures…

A content-addressable-memory compares an input search word against all rows of stored words in an array in a highly parallel manner. While supplying a very powerful functionality for many applications in pattern matching and search, it…

Emerging Technologies · Computer Science 2020-04-08 Can Li , Catherine E. Graves , Xia Sheng , Darrin Miller , Martin Foltin , Giacomo Pedretti , John Paul Strachan

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

The ability to rapidly manipulate domain walls (DWs) in magnetic materials is key to developing novel high-speed spintronic memory and computing devices. Antiferromagnetic (AFM) materials present a particularly promising platform due to…

Mesoscale and Nanoscale Physics · Physics 2025-11-12 Kyle L. Seyler , Hantao Zhang , Daniel Van Beveren , Costel R. Rotundu , Young S. Lee , Ran Cheng , David Hsieh

Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1-xZrxO2; HZO) are a promising candidate for future applications, such as low-power memories and neuromorphic computing. The tunneling electroresistance (TER) is…

In the last decade, two revolutionary concepts in nano magnetism emerged from research for storage technologies and advanced information processing. The first suggests the use of magnetic domain walls (DWs) in ferromagnetic nanowires to…

Mesoscale and Nanoscale Physics · Physics 2019-08-07 N. Sato , K. Schultheiss , L. Körber , N. Puwenberg , T. Mühl , A. A. Awad , S. S. P. K. Arekapudi , O. Hellwig , J. Fassbender , H. Schultheiss

In this paper, we study the domain wall motion induced by vertical current flow in asymmetric magnetic tunnel junctions. The domain wall motion in the free layer is mainly dictated by the current-induced field-like torque acting on it. We…

Mesoscale and Nanoscale Physics · Physics 2022-02-09 S. Liu , D. J. P. de Sousa , M. Sammon , J. P. Wang , Tony Low

The recent proposal of altermagnetism has drawn widespread attention to antiferromagnet (AFM) exhibiting spin splitting, extending beyond the realm of sign-alternating spin splitting in momentum space protected solely by rotational…

Materials Science · Physics 2025-07-01 Fangqi Liu , Yanrong Song , Zhenhua Zhang , Yong Liu , Sicong Zhu , Zhihong Lu , Rui Xiong

Magnetic tunnel junction (MTJ) is the key component to enable information access and increasing number of MTJs is integrated to develop high-density spintronic devices. However, continuous miniaturization of the conventional MTJs is…

Mesoscale and Nanoscale Physics · Physics 2026-04-17 Yue Zhao , Bin Xiao , Jiawei Liu , Hui Zeng , Jun Zhao

Multiferroic tunnel junctions (MFTJs) have already been proved to be promising candidates for application in spintronics devices. The coupling between tunnel magnetoresistance (TMR) and tunnel electroresistance (TER) in MFTJs can provide…

Materials Science · Physics 2019-06-25 Q. Liu , J. Miao , Z. D. Xu , P. F. Liu , Q. H. Zhang , L. Gu , K. K. Meng , X. G. Xu , J. K. Chen , Y. Wu , Y. Jiang

Low-power designs are a necessity with the increasing demand of portable devices which are battery operated. In many of such devices the operational speed is not as important as battery life. Logic-in-memory structures using nano-devices…

Emerging Technologies · Computer Science 2017-08-28 Fazel Sharifi , Z. M. Saifullah , Abdel-Hameed Badawy

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…

An annular magnetic memory that uses a spin-polarized current to switch the magnetization direction or helicity of a magnetic region is proposed. The device has magnetic materials in the shape of a ring (1 to 5 nm in thickness, 20 to 250 nm…

Mesoscale and Nanoscale Physics · Physics 2015-05-13 Andrew D. Kent , Daniel L. Stein

In spiking neural networks, neuron dynamics are described by the biologically realistic integrate-and-fire model that captures membrane potential accumulation and above-threshold firing behaviors. Among the hardware implementations of…

Neural and Evolutionary Computing · Computer Science 2024-05-24 Can Cui1 , Sam Liu , Jaesuk Kwon , Jean Anne C. Incorvia

Unidirectional motion of magnetic domain walls is the key concept underlying next-generation domain-wall-mediated memory and logic devices. Such motion has been achieved either by injecting large electric currents into nanowires or by…

Operations typically used in machine learning al-gorithms (e.g. adds and soft max) can be implemented bycompact analog circuits. Analog Application-Specific Integrated Circuit (ASIC) designs that implement these algorithms using techniques…

Neural and Evolutionary Computing · Computer Science 2021-06-24 Shih-Chii Liu , John Paul Strachan , Arindam Basu

Magnetic tunnel junctions (MTJs) interconnected via a continuous ferromagnetic free layer were fabricated for Spin Torque Majority Gate (STMG) logic. The MTJs are biased independently and show magnetoelectric response under spin transfer…

Power consumption is the main limitation in the development of new high performance random access memory for portable electronic devices. Magnetic RAM (MRAM) with CoFeB/MgO based magnetic tunnel junctions (MTJs) is a promising candidate for…

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