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Magnetic tunnel junctions (MTJs) with conventional bulk ferromagnets separated by a nonmagnetic insulating layer are key building blocks in spintronics for magnetic sensors and memory. A radically different approach of using atomically-thin…

Heavy metals with strong spin-orbit coupling (SOC) have been employed to generate spin current to control the magnetization dynamics by spin-orbit torque (SOT). Magnetic tunnel junction based on SOT (SOT-MTJ) is a promising application with…

Mesoscale and Nanoscale Physics · Physics 2018-05-15 Jiaqi Zhou , Weisheng Zhao , Kaihua Cao , Shouzhong Peng , Zilu Wang , Arnaud Bournel

In this work, we experimentally demonstrate that it is possible to generate true random numbers at high throughput and low latency in commercial off-the-shelf (COTS) DRAM chips by leveraging simultaneous multiple-row activation (SiMRA) via…

Low barrier nanomagnets have attracted a lot of research interest for their use as sources of high quality true random number generation. More recently, low barrier nanomagnets with tunable output have been shown to be a natural hardware…

Applied Physics · Physics 2020-03-09 Punyashloka Debashis , Rafatul Faria , Kerem Y. Camsari , Supriyo Datta , Zhihong Chen

Spin-orbit torques (SOT) provide a versatile tool to manipulate the magnetization of diverse classes of materials and devices using electric currents, leading to novel spintronic memory and computing approaches. In parallel to spin transfer…

Applied Physics · Physics 2022-07-26 Viola Krizakova , Manu Perumkunnil , Sebastien Couet , Pietro Gambardella , Kevin Garello

We perform an experimental study of DC current induced microwave emission in a magnetic tunnel junction (MTJ) consisting of three active magnetic layers. For this tri-layer structure, in addition to a conventional bilayer orthogonal MTJ…

Mesoscale and Nanoscale Physics · Physics 2020-07-22 R. N. S. Rajapakse , Z. M. Zeng , H. W. Jiang

Flexible electronic devices require the integration of multiple crucial components on soft substrates to achieve their functions. In particular, memory devices are the fundamental component for data storage and processing in flexible…

Materials Science · Physics 2016-03-15 Li Ming Loong , Wonho Lee , Xuepeng Qiu , Ping Yang , Hiroyo Kawai , Mark Saeys , Jong-Hyun Ahn , Hyunsoo Yang

In the past few years the phenomenon of spin dependent tunneling (SDT) in magnetic tunnel junctions (MTJs) has aroused enormous interest and has developed into a vigorous field of research. The large tunneling magnetoresistance (TMR)…

CMOS-compatible HfO2-based ferroelectric tunnel junction (FTJ) has attracted significant attention as a promising candidate for in-memory computing (IMC) due to its extremely low power consumption. However, conventional FTJs face inherent…

Mesoscale and Nanoscale Physics · Physics 2026-01-06 Shi-Xi Kong , Tuo-Hung Hou

Writing magnetic bits by spin-orbit torques (SOTs) arising from spin Hall effect creates new possibilities for ultrafast and low-power magnetoresistive random access memory (MRAM). For perpendicular MRAM, an extra in-plane field is required…

Applied Physics · Physics 2019-11-25 Yang Liu , Bing Zhou , Zhengkun Dai , Enbo Zhang , Jian-Gang Zhu

We present a magnetic tunnel junction (MTJ) where its two ferromagnetic layers are in the form of a single ellipse (SE) and two-crossing ellipses (TCE). The MTJ exhibits four distinct resistance states corresponding to the four remanent…

Applied Physics · Physics 2020-08-21 Shubhankar Das , Ariel Zaig , Moty Schultz , Susana Cardoso , Diana C Leitao , Lior Klein

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

An Artificial Neural Network (ANN) inference involves matrix vector multiplications that require a very large number of multiply and accumulate operations, resulting in high energy cost and large device footprint. Stochastic computing (SC)…

Mesoscale and Nanoscale Physics · Physics 2025-08-27 Saadi Sabyasachi , Walid Al Misba , Yixin Shao , Pedram Khalili Amiri , Jayasimha Atulasimha

Event-based neuromorphic systems provide a low-power solution by using artificial neurons and synapses to process data asynchronously in the form of spikes. Ferroelectric Tunnel Junctions (FTJs) are ultra low-power memory devices and are…

Magnetic tunnel junctions operating in the superparamagnetic regime are promising devices in the field of probabilistic computing, which is suitable for applications like high-dimensional optimization or sampling problems. Further, random…

Mesoscale and Nanoscale Physics · Physics 2021-03-24 Christopher Safranski , Jan Kaiser , Philip Trouilloud , Pouya Hashemi , Guohan Hu , Jonathan Z Sun

The growth of artificial intelligence and IoT has created a significant computational load for solving non-deterministic polynomial-time (NP)-hard problems, which are difficult to solve using conventional computers. The Ising computer,…

Emerging Technologies · Computer Science 2023-06-21 Jia Si , Shuhan Yang , Yunuo Cen , Jiaer Chen , Zhaoyang Yao , Dong-Jun Kim , Kaiming Cai , Jerald Yoo , Xuanyao Fong , Hyunsoo Yang

We demonstrate single shot al optical switching (AOS) in rare earth free CoFeB/MgO magnetic tunnel junctions (MTJs), a material system widely adopted in spin transfer torque magnetic random access memory (STT MRAM). By tuning the capping…

In conventional magnetic tunnel junctions (MTJs), the tunnel magnetoresistance (TMR) typically increases with barrier thickness as electron transmission in the antiparallel configuration decays faster than that of the parallel…

Mesoscale and Nanoscale Physics · Physics 2025-09-16 Zongmeng Yang , Xingyue Yang , Jianhua Wang , Qiang Li , Rui Peng , Ching Hua Lee , Lay Kee Ang , Jing Lu , Yee Sin Ang , Shibo Fang

Brain-inspired computing - leveraging neuroscientific principles underpinning the unparalleled efficiency of the brain in solving cognitive tasks - is emerging to be a promising pathway to solve several algorithmic and computational…

Emerging Technologies · Computer Science 2023-01-13 Kezhou Yang , Dhuruva Priyan G M , Abhronil Sengupta

The tunnel magnetoresistance (TMR) effect observed in magnetic tunnel junctions (MTJs) is commonly used in many spintronic applications because the effect can easily convert from local magnetic states to electric signals in a wide range of…

Materials Science · Physics 2022-02-17 Thomas Scheike , Zhenchao Wen , Hiroaki Sukegawa , Seiji Mitani