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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

Optical interconnect has emerged as the front-runner to replace electrical interconnect especially for off-chip communication. However, a major drawback with optical interconnects is the need for photodetectors and amplifiers at the…

Materials Science · Physics 2014-10-28 Zubair Al Azim , Xuanyao Fong , Thomas Ostler , Roy Chantrell , Kaushik Roy

We theoretically propose and analyze a Josephson-like magnetic tunnel junction (MTJ) structure that exhibits quantum spin dynamics analogous to those in superconducting Josephson junctions. By exploiting the isomorphism between the…

Mesoscale and Nanoscale Physics · Physics 2026-02-17 V. V. Yurlov , P. N. Skirdkov , K. A. Zvezdin , A. K. Zvezdin

We investigate fast-pulse switching of in-plane-magnetized magnetic tunnel junctions (MTJs) within 3-terminal devices in which spin-transfer torque is applied to the MTJ by the giant spin Hall effect. We measure reliable switching, with…

Mesoscale and Nanoscale Physics · Physics 2016-06-22 Sriharsha V. Aradhya , Graham E. Rowlands , Junseok Oh , Daniel C. Ralph , Robert A. Buhrman

We characterize the nanosecond pulse switching performance of the three-terminal magnetic tunnel junctions (MTJs), driven by the spin Hall effect (SHE) in the channel, at a cryogenic temperature of 3 K. The SHE-MTJ devices exhibit…

We have measured the relaxation time of a thermally unstable ferromagnetic nanoparticle incorporated into a magnetic tunnel junction (MTJ) as a function of applied magnetic field, voltage V (-0.38 V < V < +0.26 V), and temperatures (283 K<…

Mesoscale and Nanoscale Physics · Physics 2015-05-28 William Rippard , Ranko Heindl , Matthew Pufall , Stephen Russek , Anthony Kos

Arrays of Vortex Transitional (VT) memory cells with functional density up to $1 Mbit/cm^2$ have been designed, fabricated, and successfully demonstrated. This progress is due to recent advances in design optimization and in superconductor…

Applied Physics · Physics 2019-05-22 Vasili K. Semenov , Yuri A. Polyakov , Sergey K. Tolpygo

Low-power designs are a necessity with the increasing demand of portable devices which are battery operated. In many of such devices the operational speed is not as important as battery life. Logic-in-memory structures using nano-devices…

Emerging Technologies · Computer Science 2017-08-28 Fazel Sharifi , Z. M. Saifullah , Abdel-Hameed Badawy

Reservoir computing is a highly efficient machine learning framework for processing temporal data by extracting features from the input signal and mapping them into higher dimensional spaces. Physical reservoir layers have been realized…

Machine Learning · Computer Science 2023-11-17 Md Razuan Hossain , Ahmed Salah Mohamed , Nicholas Xavier Armendarez , Joseph S. Najem , Md Sakib Hasan

Magnetic skyrmions are topological spin textures which are envisioned as nanometre scale information carriers in magnetic memory and logic devices. The recent demonstration of room temperature stabilization of skyrmions and their current…

Several experimental techniques have been introduced in recent years in attempts to measure spin transfer torque in magnetic tunnel junctions (MTJs). The dependence of spin torque on bias is important for understanding fundamental spin…

Mesoscale and Nanoscale Physics · Physics 2014-07-01 Chen Wang , Yong-Tao Cui , Jordan A. Katine , Robert A. Buhrman , Daniel C. Ralph

Magnetic tunnel junction-based molecular spintronics devices (MTJMSDs) are designed by covalently connecting the paramagnetic molecules across two ferromagnets (FM) electrodes of a magnetic tunnel junction (MTJ). MTJMSD provides…

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of…

Ferroelectric tunnel junctions (FTJs), which consist of two metal electrodes separated by a thin ferroelectric barrier, have recently aroused significant interest for technological applications as nanoscale resistive switching devices. So…

Materials Science · Physics 2021-02-09 Jun Ding , Ding-Fu Shao , Ming Li , Li-Wei Wen , Evgeny Y. Tsymbal

Antiferromagnetic (AFM) spintronics has emerged as a subfield of spintronics, where an AFM N\'eel vector is used as a state variable. Efficient electric control and detection of the N\'eel vector are critical for spintronic applications.…

Materials Science · Physics 2024-06-07 Ding-Fu Shao , Evgeny Y. Tsymbal

We propose and computationally analyze a nonvolatile static random access memory (NV-SRAM) cell using magnetic tunnel junctions (MTJs) with magnetic-field-free current-induced magnetization switching (CIMS) architecture. A pair of MTJs…

Materials Science · Physics 2015-05-13 Shuu'ichirou Yamamoto , Satoshi Sugahara

Hardware implementations of the Ising model offer promising solutions to large-scale optimization tasks. In the literature, various nanodevices have been shown to emulate the spin dynamics for such Ising machines with remarkable…

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

Antiferromagnetic Tunnel Junctions (AFMTJs) offer picosecond switching and high integration density for in-memory computing, but their ultrafast dynamics and low tunnel magnetoresistance (TMR) make state-of-the-art MRAM interfaces…

Hardware Architecture · Computer Science 2026-02-13 Yousuf Choudhary , Tosiron Adegbija

Highly efficient information processing in brain is based on processing and memory components called synapses, whose output is dependent on the history of the signals passed through them. Here we have developed an artificial synapse with…

Applied Physics · Physics 2021-12-28 Pan Wang , Mazhar E. Nasir , Alexey V. Krasavin , Wayne Dickson , Anatoly V. Zayats