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Spin-polarized charge-currents induce magnetic tunnel junction (MTJ) switching by virtue of spin-transfer-torque (STT). Recently, by taking advantage of the spin dependent thermoelectric properties of magnetic materials, novel means of…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 Aakash Pushp , Timothy Phung , Charles Rettner , Brian P. Hughes , See-Hun Yang , Stuart S. P. Parkin

As one of the most promising emerging non-volatile memory (NVM) technologies, spin-transfer torque magnetic random access memory (STT-MRAM) has attracted significant research attention due to several features such as high density, zero…

Emerging Technologies · Computer Science 2020-01-16 Lizhou Wu , Mottaqiallah Taouil , Siddharth Rao , Erik Jan Marinissen , Said Hamdioui

A new approach to increase the downsize scalability of perpendicular STT-MRAM is presented. It consists in significantly increasing the thickness of the storage layer in out-of-plane magnetized tunnel junctions (pMTJ) as compared to…

We demonstrate ultra-fast (down to 400 ps) bipolar magnetization switching of a three-terminal perpendicular Ta/FeCoB/MgO/FeCoB magnetic tunnel junction. The critical current density rises significantly as the current pulse shortens below…

Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-efficient Logic-in-Memory (LIM) architectures based on non-volatile resistive memory devices. The SIMPLY logic is enabled by adding a comparator…

Emerging Technologies · Computer Science 2022-06-01 Raffaele De Rose , Tommaso Zanotti , Francesco Maria Puglisi , Felice Crupi , Paolo Pavan , Marco Lanuzza

We report on first-principles calculations of spin-transfer torque (STT) in epitaxial magnetic tunnel junctions (MTJs) based on ferrimagnetic tetragonal Mn$_3$Ga electrodes, both as analyzer in an Fe/MgO stack, and also in an analogous…

Mesoscale and Nanoscale Physics · Physics 2022-01-10 Maria Stamenova , Plamen Stamenov , Farzad Mahfouzi , Quilong Sun , Nicholas Kioussis , Stefano Sanvito

Superparamagnetic tunnel junctions (sMTJs) are emerging as promising components for stochastic units in neuromorphic computing, owing to their tunable random switching behavior. Conventional MTJ control methods, such as spin-transfer torque…

The authors proposed and computationally analyzed nonvolatile static random access memory (NV-SRAM) architecture using metal-oxide-semiconductor field-effect transistor (MOSFET) type of spin-transistors referred to as pseudo-spin-MOSFET…

Materials Science · Physics 2009-01-21 Yusuke Shuto , Shuu'ichirou Yamamoto , Satoshi Sugahara

To optimize the design of STT-MRAM (spin-transfer torque magnetic random access memory), it is necessary to be able to predict switching (error) rates. For small elements, this can be done using a single-macrospin theory since the element…

Materials Science · Physics 2016-04-15 P. B. Visscher , Kamaram Munira , Robert J. Rosati

We report on the current-induced magnetization switching of a three-terminal perpendicular magnetic tunnel junction by spin-orbit torque and the read-out using the tunnelling magnetoresistance (TMR) effect. The device is composed of a…

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

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 introduce a method for a combined calculation of charge and vector spin transport of elastically tunneling electrons in magnetic scanning tunneling microscopy (STM). The method is based on the three-dimensional Wentzel-Kramers-Brillouin…

Materials Science · Physics 2016-09-28 Krisztián Palotás , Gábor Mándi , László Szunyogh

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

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…

Magnetic tunnel junctions with perpendicular anisotropy form the basis of the spin-transfer torque magnetic random-access memory (STT-MRAM), which is non-volatile, fast, dense, and has quasi-infinite write endurance and low power…

Materials Science · Physics 2021-02-17 Libor Vojáček , Fatima Ibrahim , Ali Hallal , Bernard Dieny , Mairbek Chshiev

There exists a significant challenge in developing efficient magnetic tunnel junctions with low write currents for non-volatile memory devices. With the aim of analysing potential materials for efficient current-operated magnetic junctions…

Mesoscale and Nanoscale Physics · Physics 2017-12-13 Matthew O. A. Ellis , Maria Stamenova , Stefano Sanvito

Flexible electronic devices require the integration of multiple crucial components on soft substrates to achieve their functions. In particular, memory devices are the fundamental component for data storage and processing in flexible…

Materials Science · Physics 2016-03-15 Li Ming Loong , Wonho Lee , Xuepeng Qiu , Ping Yang , Hiroyo Kawai , Mark Saeys , Jong-Hyun Ahn , Hyunsoo Yang

Magnetic tunnel junctions (MTJs) are key components of spintronic devices, such as magnetic random-access memories. Normally, MTJs consist of two ferromagnetic (FM) electrodes separated by an insulating barrier layer. Their key functional…

Materials Science · Physics 2024-09-06 Kartik Samanta , Yuan-Yuan Jiang , Tula R. Paudel , Ding-Fu Shao , Evgeny Y. Tsymbal

In-memory computing is a promising approach to addressing the processor-memory data transfer bottleneck in computing systems. We propose Spin-Transfer Torque Compute-in-Memory (STT-CiM), a design for in-memory computing with Spin-Transfer…

Emerging Technologies · Computer Science 2017-11-22 Shubham Jain , Ashish Ranjan , Kaushik Roy , Anand Raghunathan
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