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Stochastic magnetic tunnel junctions (sMTJ) using low-barrier nanomagnets have shown promise as fast, energy-efficient, and scalable building blocks for probabilistic computing. Despite recent experimental and theoretical progress, sMTJs…

Mesoscale and Nanoscale Physics · Physics 2024-05-03 Kemal Selcuk , Shun Kanai , Rikuto Ota , Hideo Ohno , Shunsuke Fukami , Kerem Y. Camsari

Stochastic magnetic tunnel junctions (s-MTJ) is a promising component of probabilistic bit (p-bit), which plays a pivotal role in probabilistic computers. For a standard cell structure of the p-bit, s-MTJ is desired to be insensitive to…

Mesoscale and Nanoscale Physics · Physics 2024-07-12 Rikuto Ota , Keito Kobayashi , Keisuke Hayakawa , Shun Kanai , Kerem Y. Çamsarı , Hideo Ohno , Shunsuke Fukami

We have fabricated nanoscale magnetic tunnel junctions (MTJs) with an additional fixed magnetic layer added above the magnetic free layer of a standard MTJ structure. This acts as a second source of spin-polarized electrons that, depending…

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

We review two magnetic tunnel junction (MTJ) approaches for compact, low-power, CMOS-integrated true random number generation (TRNG). The first employs passive-read, easy-plane superparamagnetic MTJs (sMTJs) that generate…

Mesoscale and Nanoscale Physics · Physics 2026-01-15 Jonathan Z. Sun , Christopher Safranski , Siyuranga Koswata , Pouya Hashemi , Andrew D. Kent

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

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

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…

Serial connection of multiple memory cells using perpendicular magnetic tunnel junctions (pMTJ) is proposed as a way to increase magnetic random access memory (MRAM) storage density. Multi-bit storage element is designed using pMTJs…

Applied Physics · Physics 2019-07-24 Piotr Rzeszut , Witold Skowroński , Sławomir Ziętek , Jerzy Wrona , Tomasz Stobiecki

Magnetic tunnel junctions (MTJs) are key elements in practical spintronics, enabling not only conventional tasks such as data storage, transmission, and processing but also the implementation of compute-in-memory processing elements,…

Other Condensed Matter · Physics 2025-12-09 Maksim Stebliy , Alex Jenkins , Luana Benetti , Ricardo Ferreira

True random number generators are of great interest in many computing applications such as cryptography, neuromorphic systems and Monte Carlo simulations. Here we investigate perpendicular magnetic tunnel junction nanopillars (pMTJs)…

Perpendicular magnetic tunnel junction (pMTJ)-based true-random number generators (RNG) can consume orders of magnitude less energy per bit than CMOS pseudo-RNG. Here, we numerically investigate with a macrospin Landau-Lifshitz-Gilbert…

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

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…

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…

Probabilistic computing is a novel computing scheme that offers a more efficient approach than conventional CMOS-based logic in a variety of applications ranging from optimization to Bayesian inference, and invertible Boolean logic. The…

Mesoscale and Nanoscale Physics · Physics 2024-06-18 John Daniel , Zheng Sun , Xuejian Zhang , Yuanqiu Tan , Neil Dilley , Zhihong Chen , Joerg Appenzeller

Strain-mediated multiferroic composites, i.e., piezoelectric-magnetostrictive heterostructures, hold profound promise for energy-efficient computing in beyond Moore's law era. While reading a bit of information stored in the…

Mesoscale and Nanoscale Physics · Physics 2015-06-26 Kuntal Roy

Magnetic tunnel junctions (MTJs), which are the fundamental building blocks of spintronic devices, have been used to build true random number generators (TRNGs) with different trade-offs between throughput, power, and area requirements.…

Many emerging alternative models of computation require massive numbers of random bits, but their generation at low energy is currently a challenge. The superparamagnetic tunnel junction, a spintronic device based on the same technology as…

We study whether a direct measurement of the absolute temperature of a Magnetic Tunnel Junction (MTJ) can be performed using the high frequency electrical noise that it delivers under a finite voltage bias. Our method includes quasi-static…

Materials Science · Physics 2016-08-03 Adrien Le Goff , Vladimir Nikitin , Thibaut Devolder
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