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Using numerical and analytical micromagnetics we calculated the switching fields and energy barriers of the composite (exchange spring) magnetic recording media, which consist of layers with high and low magnetocrystalline anisotropy. We…

Materials Science · Physics 2009-11-11 A. Yu. Dobin , H. J. Richter

Strain-mediated voltage control of magnetization in piezoelectric/ferromagnetic systems is a promising mechanism to implement energy-efficient spintronic memory devices. Here, we demonstrate giant voltage manipulation of MgO magnetic tunnel…

Mesoscale and Nanoscale Physics · Physics 2016-09-02 Zhengyang Zhao , Mahdi Jamali , Noel D'Souza , Delin Zhang , Supriyo Bandyopadhyay , Jayasimha Atulasimha , Jian-Ping Wang

We propose energy efficient strain control of domain wall (DW) in a perpendicularly magnetized nanoscale racetrack on a piezoelectric substrate that can implement multi state synapse to be utilized in neuromorphic computing platforms. In…

Mesoscale and Nanoscale Physics · Physics 2021-11-29 Walid Al Misba , Tahmid Kaisar , Dhritiman Bhattacharya , Jayasimha Atulasimha

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

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

Switching magnetization in a perpendicular magnetic tunnel junction (pMTJ) via voltage controlled magnetic anisotropy (VCMA) has shown the potential to markedly reduce the switching energy. However, the requirement of an external magnetic…

Mesoscale and Nanoscale Physics · Physics 2017-05-18 Jiefang Deng , Gengchiau Liang , Gaurav Gupta

The vast amount of data generated by camera sensors has prompted the exploration of energy-efficient processing solutions for deploying computer vision tasks on edge devices. Among the various approaches studied, processing-in-pixel…

Spintronic rf detectors were demonstrated, recently, for energy harvesting and wireless communication at low input power. Here we report on the optimization of the rectified output dc voltage using magnetic tunnel junctions (MTJ) with…

Mesoscale and Nanoscale Physics · Physics 2022-01-26 A. Sidi El Valli , V. Iurchuk , G. Lezier , I. Bendjeddou , R. Lebrun , N. Lamard , A. Litvinenko , J. Langer , J. Wrona , L. Vila , R. Sousa , I. L. Prejbeanu , B. Dieny , U. Ebels

Naturally random devices that exploit ambient thermal noise have recently attracted attention as hardware primitives for accelerating probabilistic computing applications. One such approach is to use a low barrier nanomagnet as the free…

Mesoscale and Nanoscale Physics · Physics 2021-05-05 Kerem Y. Camsari , Mustafa Mert Torunbalci , William A. Borders , Hideo Ohno , Shunsuke Fukami

Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic magnetic tunnel junctions (S-MTJs), which are engineered to…

Superparamagnetic tunnel junctions (SMTJs) are promising sources for the randomness required by some compact and energy-efficient computing schemes. Coupling SMTJs gives rise to collective behavior that could be useful for cognitive…

The dynamics of magnetic domain walls along ferromagnetic strips with spatially modulated perpendicular magnetic anisotropy is theoretically studied by means of micromagnetic simulations. Ferromagnetic layers with a periodic sawtooth…

Materials Science · Physics 2018-06-19 Luis Sánchez-Tejerina , Óscar Alejos , Víctor Raposo , Eduardo Martínez

Magnetic tunnel junctions are nanoscale devices which have recently attracted interested in the context of frequency multiplexed spintronic neural networks, due to their interesting dynamical properties, which are defined during the…

Applied Physics · Physics 2024-08-29 Maksim Stebliy , Alex S. Jenkins , Luana Benetti , Elvira Paz , Ricardo Ferreira

Antiferromagnetic Tunnel Junctions (AFMTJs) enable picosecond switching and femtojoule writes through ultrafast sublattice dynamics. We present the first end-to-end AFMTJ simulation framework integrating multi-sublattice…

Hardware Architecture · Computer Science 2026-02-10 Yousuf Choudhary , Tosiron Adegbija

This paper introduces an analog-to-stochastic converter using a magnetic tunnel junction (MTJ) device for vision chips based on stochastic computation. Stochastic computation has been recently exploited for area-efficient hardware…

Emerging Technologies · Computer Science 2026-01-22 Naoya Onizawa , Daisaku Katagiri , Warren J. Gross , Takahiro Hanyu

Emerging non-volatile memories (NVMs) have currently attracted great interest for their potential applications in advanced low-power information storage and processing technologies. Conventional NVMs, such as magnetic random access memory…

This paper addresses the question: Can spintronic circuits based on Magnetic Tunnel Junction (MTJ) transducers outperform their state-of-the-art CMOS counterparts? To this end, we use the EPFL combinational benchmark sets, synthesize them…

A prototype of magnetoresistive random access memory (MRAM) based on magnetic tunnel junctions (MTJ) was fabricated with crossed-anisotropy of magnetic layers on either side of the tunnelling barrier layer. It is demonstrated that the…

Materials Science · Physics 2007-05-23 A. N. Grigorenko , D. J. Mapps

A parallel direct solution approach based on domain decomposition method (DDM) and directed acyclic graph (DAG) scheduling is outlined. Computations are represented as a sequence of small tasks that operate on domains of DDM or dense matrix…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Javad Moshfegh , Dimitrios G. Makris , Marinos N. Vouvakis

We present spintronic devices based hardware implementation of UNet for segmentation tasks. Our approach involves designing hardware for convolution, deconvolution, rectified activation function (ReLU), and max pooling layers of the UNet…

Emerging Technologies · Computer Science 2024-07-12 Venkatesh Vadde , Bhaskaran Muralidharan , Abhishek Sharma