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Related papers: Straintronic magnetic tunnel junctions for analog …

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Straintronic magneto-tunneling junction (s-MTJ) switches, whose resistances are controlled with voltage-generated strain in the magnetostrictive free layer of the MTJ, are extremely energy-efficient switches that would dissipate a few aJ of…

Emerging Technologies · Computer Science 2017-07-18 S. Dey Manasi , M. M. Al Rashid , J. Atulasimha , S. Bandyopadhyay , A. R. Trivedi

There is growing interest in exploring nanomagnetic devices as potential replacements for electronic devices (e.g. transistors) in digital switching circuits and systems. A special class of nanomagnetic devices are switched with…

Mesoscale and Nanoscale Physics · Physics 2019-07-18 Md Ahsanul Abeed , Justine L. Drobitch , Supriyo Bandyopadhyay

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

The magnetic tunnel junction (MTJ) is a backbone device for spintronics. Realizing next generation energy efficient MTJs will require operating mechanisms beyond the standard means of applying magnetic fields or large electrical currents.…

We have developed and optimized two categories of spin transfer torque magnetic tunnel junctions (STT-MTJs) that exhibit a high tunnel magnetoresistance (TMR) ratio, low critical current, high outputpower in the micro watt range, and…

In artificial neural networks, neurons are usually implemented with highly dissipative CMOS-based operational amplifiers. A more energy-efficient implementation is a 'spin-neuron' realized with a magneto-tunneling junction (MTJ) that is…

Mesoscale and Nanoscale Physics · Physics 2015-07-27 Ayan K. Biswas , Jayasimha Atulasimha , Supriyo Bandyopadhyay

Strain-controlled modulation of the magnetic switching behavior in magnetic tunnel junctions (MTJs) could provide the energy efficiency needed to accelerate the use of MTJs in memory, logic, and neuromorphic computing, as well as an…

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…

This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence and machine learning faces significant challenges related to…

Applied Physics · Physics 2025-06-10 Steven Louis , Hannah Bradley , Cody Trevillian , Andrei Slavin , Vasyl Tyberkevych

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

We comment on both recent progress and lingering puzzles related to research on magnetic tunnel junctions (MTJs). MTJs are already being used in applications such as magnetic-field sensors in the read heads of disk drives, and they may also…

Other Condensed Matter · Physics 2009-11-13 J. Z. Sun , D. C. Ralph

Electric-field control of spin states offers a promising route to ultra-low-power, ultra-fast magnetization switching in spintronic devices such as magnetic tunnel junctions (MTJs). Recent progress in modulating spin-orbit interactions at…

Magnetic tunnel junctions (MTJs) are the key building blocks of high-performance spintronic devices. While conventional MTJs rely on ferromagnetic (FM) materials, employing antiferromagnetic (AFM) compounds can significantly increase…

Control of magnetism without using magnetic fields enables large-scale integration of spintronic devices for memory, computation and communication in the beyond-CMOS era. Mechanisms including spin torque transfer, spin Hall effect, and…

Materials Science · Physics 2017-03-08 Jun-Yang Chen , Li He , Jian-Ping Wang , Mo Li

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 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

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

There are pressing problems with traditional computing, especially for accomplishing data-intensive and real-time tasks, that motivate the development of in-memory computing devices to both store information and perform computation.…

We propose an all-electric implementation of a precessionally switched perpendicular magnetic anisotropy magneto-tunneling-junction (p-MTJ) based toggle memory cell where data is written with voltage-controlled-magnetic-anisotropy (VCMA)…

Mesoscale and Nanoscale Physics · Physics 2017-03-29 Justine L. Drobitch , Md Ahsanul Abeed , Supriyo Bandyopadhyay

Magnetic tunnel junctions (MTJs), composed of two ferromagnetic electrodes separated by a thin insulating barrier layer, are currently used in spintronic devices, such as magnetic sensors and magnetic random access memories. Recently,…

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