English
Related papers

Related papers: Closed Loop Superparamagnetic Tunnel Junctions for…

200 papers

Perpendicular magnetic tunnel junctions (pMTJs) actuated by nanosecond pulses are emerging as promising devices for true random number generation (TRNG) due to their intrinsic stochastic behavior and high throughput. In this work, we study…

Applied Physics · Physics 2025-06-23 Ahmed Sidi El Valli , Michael Tsao , J. Darby Smith , Shashank Misra , Andrew D. Kent

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

The straintronic magnetic tunnel junction (s-MTJ) is an MTJ whose resistance state can be changed continuously or gradually from high to low with a gate voltage that generates strain the magnetostrictive soft layer. This unusual feature,…

Mesoscale and Nanoscale Physics · Physics 2025-03-04 Supriyo Bandyopadhyay

The emerging Spin Transfer Torque Magnetic Tunnel Junction (STT-MTJ) technology exhibits interesting stochastic behavior combined with small area and low operation energy. It is, therefore, a promising technology for security applications,…

Cryptography and Security · Computer Science 2023-07-28 Ben Perach , Shahar Kvatinsky

In recent years, true random number generators (TRNGs) based on magnetic tunnelling junction (MTJ) have become increasingly attractive. This is because MTJ-based TRNGs offer some advantages over traditional CMOS-based TRNGs, such as smaller…

Quantum Physics · Physics 2023-03-28 Hong Jie Ng , Shuhan Yang , Zhaoyang Yao , Hyunsoo Yang , Charles C. -W. Lim

Stochastic magnetic tunnel junctions (s-MTJs) are core components for spintronics-based probabilistic computing (p-computing), a promising candidate for energy-efficient unconventional computing. To achieve reliable performance under…

Novel devices and novel computing paradigms are key for energy efficient, performant future computing systems. However, designing devices for new applications is often time consuming and tedious. Here, we investigate the design and…

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

Magnetic Tunnel Junctions (MTJs) have shown great promise as hardware sources for true random number generation (TRNG) due to their intrinsic stochastic switching behavior. However, practical deployment remains challenged by drift in…

True random number generators (TRNGs) are fundamental building blocks for many applications, such as cryptography, Monte Carlo simulations, neuromorphic computing, and probabilistic computing. While perpendicular magnetic tunnel junctions…

Recently there is considerable interest to realize efficient and low-cost true random number generators (RNGs) for practical applications. One important way is through the use of bistable magnetic tunnel junctions (MTJs). Here we study the…

Other Condensed Matter · Physics 2023-09-07 Chee Kwan Gan , Bingjin Chen , Minggang Zeng

Probabilistic computing using random number generators (RNGs) can leverage the inherent stochasticity of nanodevices for system-level benefits. The magnetic tunnel junction (MTJ) has been studied as an RNG due to its thermally-driven…

Superparamagnetic magnetic tunnel junctions (sMTJs) are promising components for true random number generation and probabilistic computing. Achieving high-frequency fluctuation while maintaining reliable control over output level is…

Applied Physics · Physics 2026-01-23 Qi Jia , Jian-Ping Wang

High-quality random numbers are very critical to many fields such as cryptography, finance, and scientific simulation, which calls for the design of reliable true random number generators (TRNGs). Limited by entropy source, throughput,…

Hardware Architecture · Computer Science 2024-07-03 Siqing Fu , Tiejun Li , Chunyuan Zhang , Hanqing Li , Sheng Ma , Jianmin Zhang , Ruiyi Zhang , Lizhou Wu

Stochastic spiking neural networks based on nanoelectronic spin devices can be a possible pathway to achieving "brainlike" compact and energy-effcient cognitive intelligence. The computational model attempt to exploit the intrinsic device…

Emerging Technologies · Computer Science 2018-01-29 Chamika M. Liyanagedera , Abhronil Sengupta , Akhilesh Jaiswal , Kaushik Roy

The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) make SNNs promising for edge applications that require high energy efficiency. To realize SNNs in hardware, spintronic neuron implementations can bring…

Neural and Evolutionary Computing · Computer Science 2023-07-12 Thomas Leonard , Samuel Liu , Harrison Jin , Jean Anne C. Incorvia

In this work, the effect of electrical coupling on stochastic switching of two in-plane superparamagnetic tunnel junctions (SMTJs) is studied, using experimental measurements as well as simulations. The coupling mechanism relies on the…

Mesoscale and Nanoscale Physics · Physics 2023-07-31 Leo Schnitzspan , Mathias Kläui , Gerhard Jakob

We investigate the stochastic dynamics of nanoscale perpendicular magnetic tunnel junctions (pMTJs) and the correlations that arise when they are electrically coupled. Individual junctions exhibit thermally activated spin-transfer torque…

Mesoscale and Nanoscale Physics · Physics 2026-02-04 Dairong Chen , Ahmed Sidi El Valli , Jonathan Z. Sun , Flaviano Morone , Dries Sels , Andrew D. Kent

Flexible electronics is an emerging field in many applications ranging from in vivo biomedical devices to wearable smart systems. The capability of conforming to curved surfaces opens the door to add electronic components to miniaturized…

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…