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Related papers: A Compact Model for Scalable MTJ Simulation

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In this paper, we build a general modelling framework for memristors, suitable for the simulation of event-based systems such as hardware spiking neural networks, and more generally, neuromorphic computing systems composed of three…

Emerging Technologies · Computer Science 2025-12-02 Waleed El-Geresy , Christos Papavassiliou , Deniz Gündüz

Spin-transfer torque magnetoresistive random access memory (STT-MRAM) is an attractive alternative to current random access memory technologies due to its non-volatility, fast operation and high endurance. STT-MRAM does though have…

Mesoscale and Nanoscale Physics · Physics 2018-08-27 Noriyuki Sato , Fen Xue , Robert M. White , Chong Bi , Shan X. Wang

Voltage control of magnetic anisotropy (VCMA) induced by charge accumulation is typically considered as an ultrafast process, enabling energy-efficient and high-speed magnetization switching in spintronic devices. In this work, we…

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

Perpendicular shape anisotropy (PSA) and double magnetic tunnel junctions (DMTJ) offer practical solutions to downscale spin-transfer-torque Magnetic Random-Access Memory (STT-MRAM) beyond 20 nm technology nodes, whilst retaining their…

A model of superconducting computer memory exploiting the orthogonal spin transfer (OST) in the pseudospin valve (PS) that is controlled by the three-terminal Josephson superconducting-ferromagnetic transistor (SFT) is developed. The…

Superconductivity · Physics 2019-07-16 Serhii E. Shafraniuk , Ivan P. Nevirkovets , Oleg A. Mukhanov

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

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…

The temperature dependence of a vortex-based nano-oscillator induced by spin transfer torque (STVO) in magnetic tunnel junctions (MTJ) is considered. We obtain emitted signals with large output power and good signal coherence. Due to the…

Materials Science · Physics 2015-06-03 P. Bortolotti , A. Dussaux , J. Grollier , V. Cros , A. Fukushima , H. Kubota , K. Yakushiji , S. Yuasa , K. Ando , A. Fert

Magnetic tunnel junctions (MTJs) play a crucial role in spintronic applications, particularly data storage and sensors. Especially as a non-volatile memory, MTJs have received substantial attention due to its CMOS compatibility, low power…

Magnetic tunnel junctions (MTJs) are key enablers of spintronic technologies used in a variety of applications including information storage, microwave generation and detection, as well as unconventional computing. Here, we present…

Mesoscale and Nanoscale Physics · Physics 2025-03-12 Andrea Meo , Chengcen Sha , Emily Darwin , Riccardo Tomasello , Mario Carpentieri , Ilya N. Krivorotov , Giovanni Finocchio

This paper presents physical modeling and benchmarking for two-terminal spin-orbit torque magnetic random-access memory (2T-SOT-MRAM). The results indicate that the common SOT materials that provide only in-plane torque can provide little…

Mesoscale and Nanoscale Physics · Physics 2025-12-09 Md Nahid Haque Shazon , Piyush Kumar , Luqiao Liu , Daniel C. Ralph , Azad Naeemi

This work investigates nanosecond superparamagnetic switching in 50 nm diameter in-plane magnetized magnetic tunnel junctions (MTJs). Due to the small in-plane uniaxial anisotropy, dwell times below 10 ns and auto-correlation times down to…

Mesoscale and Nanoscale Physics · Physics 2023-01-16 Leo Schnitzspan , Mathias Kläui , Gerhard Jakob

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

Spin-based logic devices could operate at very high speed with very low energy consumption and hold significant promise for quantum information processing and metrology. Here, an in-house developed, experimentally verified, ensemble…

Computational Physics · Physics 2018-01-03 B. Thorpe , K. Kalna , F. C. Langbein , S Schirmer

The quest for highly efficient cognitive computing has led to extensive research interest for the field of neuromorphic computing. Neuromorphic computing aims to mimic the behavior of biological neurons and synapses using solid-state…

Emerging Technologies · Computer Science 2021-08-31 Humberto Inzunza Velarde , Jheel Nagaria , Zihan Yin , Ajey Jacob , Akhilesh Jaiswal

CMOS-compatible HfO2-based ferroelectric tunnel junction (FTJ) has attracted significant attention as a promising candidate for in-memory computing (IMC) due to its extremely low power consumption. However, conventional FTJs face inherent…

Mesoscale and Nanoscale Physics · Physics 2026-01-06 Shi-Xi Kong , Tuo-Hung Hou

Magneto-transport properties in hybrid magnetic tunnel junctions (MTJs) integrating self-assembled monolayers (SAMs) as tunnel barriers are critically influenced by spinterface effects, which arise from the electronic properties at…

The translation of emerging application concepts that exploit Resistive Random Access Memory (ReRAM) into large-scale practical systems requires realistic, yet computationally efficient, empirical models that can capture all observed…

Emerging Technologies · Computer Science 2017-03-06 Ioannis Messaris , Alexander Serb , Ali Khiat , Spyridon Nikolaidis , Themistoklis Prodromakis

Stochastic p-Bit devices play a pivotal role in solving NP-hard problems, neural network computing, and hardware accelerators for algorithms such as the simulated annealing. In this work, we focus on Stochastic p-Bits based on high-barrier…

Mesoscale and Nanoscale Physics · Physics 2023-06-06 X. H. Li , M. K. Zhao , R. Zhang , C. H. Wan , Y. Z. Wang , X. M. Luo , S. Q. Liu , J. H. Xia , G. Q. Yu , X. F. Han