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Spin transfer torque magnetic random access memory (STT-MRAM) is a promising candidate for next generation memory as it is non-volatile, fast, and has unlimited endurance. Another important aspect of STT-MRAM is that its core component, the…

We report the possibility of achieving an order of magnitude reduction in the energy dissipation needed to write bits in perpendicular magnetic tunnel junctions (p-MTJs) by simulating the magnetization dynamics under a combination of…

Mesoscale and Nanoscale Physics · Physics 2019-10-02 Austin Roe , Dhritiman Bhattacharya , Jayasimha Atulasimha

Ensuring high performance, while meeting the power budget is a challenging task as the world is moving towards next-generation computing. Researchers and designers are in search of new solutions for efficient computation. Spintronics…

Applied Physics · Physics 2022-08-31 Jagadish Rajpoot , Ravneet Paul , Shivam Verma

Pulsed spin-torque switching has been studied using single-shot time-resolved electrical measurements in perpendicularly magnetized magnetic tunnel junctions as a function of pulse amplitude and junction size in 50 to 100 nm diameter…

Mesoscale and Nanoscale Physics · Physics 2017-01-04 Christian Hahn , Georg Wolf , Bartek Kardasz , Steve Watts , Mustafa Pinarbasi , Andrew D. Kent

We study ns scale spin-torque-induced switching in perpendicularly magnetized tunnel junctions (pMTJ). Although the switching voltages match with the macrospin instability threshold, the electrical signatures of the reversal indicate the…

Mesoscale and Nanoscale Physics · Physics 2016-02-03 T. Devolder , Joo-Von Kim , F. Garcia-Sanchez , J. Swerts , W. Kim , S. Couet , G. Kar , A. Furnemont

Spin-orbit torque (SOT) represents an energy efficient method to control magnetization in magnetic memory devices. However, deterministically switching perpendicular memory bits usually requires the application of an additional bias field…

Applied Physics · Physics 2018-10-03 Qianchang Wang , John Domann , Guoqiang Yu , Anthony Barra , Kang L. Wang , Gregory P. Carman

Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices…

Neural and Evolutionary Computing · Computer Science 2023-08-23 Peng Zhou , Alexander J. Edwards , Frederick B. Mancoff , Sanjeev Aggarwal , Stephen K. Heinrich-Barna , Joseph S. Friedman

We propose spin transfer torque--magnetoresistive random access memory (STT-MRAM) based on magneto-resistance and spin transfer torque physics of band-pass spin filtering. Utilizing the electronic analogs of optical phenomena such as…

Mesoscale and Nanoscale Physics · Physics 2019-08-20 Abhishek Sharma , Ashwin Tulapurkar , Bhaskaran Muralidharan

Three-terminal magnetic tunnel junction (MTJ), where non-volatile magnetization state can be switched via spin orbit torque (SOT), is attracting massive research interests since it is featured by high speed, low power, nearly unlimited…

Applied Physics · Physics 2025-06-13 Hongjie Ye , Zhaohao Wang

Spin transfer torque oscillators (STOs) based on magnetic tunnel junction (MTJ) devices are emerging as a possible replacement for complementary metal-oxide semiconductors for radio-frequency (RF) signal generation. Advantages include low…

Emerging Technologies · Computer Science 2017-07-04 Supriyo Maji

This paper presents a physics-based modeling framework for the analysis and transient simulation of circuits containing Spin-Transfer Torque (STT) Magnetic Tunnel Junction (MTJ) devices. The framework provides the tools to analyze the…

Emerging Technologies · Computer Science 2021-06-10 Fernando García-Redondo , Pranay Prabhat , Mudit Bhargava , Cyrille Dray

Perpendicular magnetic tunnel junctions are one of the building blocks for spintronic memories, which allow fast nonvolatile data access, offering substantial potentials to revolutionize the mainstream computing architecture. However,…

It has been demonstrated that the switching of perpendicular magnetization can be achieved with spin orbit torque (SOT) at an ultrafast speed and low energy consumption. However, to make the switching deterministic, an undesirable magnetic…

Applied Physics · Physics 2019-07-24 Zhaohao Wang , Zuwei Li , Min Wang , Bi Wu , Daoqian Zhu , Weisheng Zhao

Artificial Neural Networks (ANNs) have found widespread applications in tasks such as pattern recognition and image classification. However, hardware implementations of ANNs using conventional binary arithmetic units are computationally…

Neural and Evolutionary Computing · Computer Science 2017-09-14 Ankit Mondal , Ankur Srivastava

Perpendicular MgO-based Magnetic Tunnel Junctions are optimal candidates as building block of Spin Transfer Torque (STT) magnetoresistive memories. However, up to now, the only STT is not enough to achieve switching current density below…

Materials Science · Physics 2015-03-13 M. Carpentieri , R. Tomasello , M. Ricci , P. Burrascano , G. Finocchio

Efficient generation of spin currents from charge currents is of high importance for memory and logic applications of spintronics. In particular, generation of spin currents from charge currents in high spin-orbit coupling metals has the…

Brain-inspired learning in physical hardware has enormous potential to learn fast at minimal energy expenditure. One of the characteristics of biological learning systems is their ability to learn in the presence of various noise sources.…

Combining spin-orbit (SOT) and spin-transfer torques (STT) provides a practical approach for field-free switching in spin-orbit torque magnetic random-access memory (SOT-MRAM), a prerequisite for industrial deployment, but can compromise…

Mesoscale and Nanoscale Physics · Physics 2026-05-27 Kuldeep Ray , Jérémie Vigier , Sylvain Martin , Chloé Bouard , Nicolas Lefoulon , Marc Drouard , Gilles Gaudin

The relative contributions of in-plane (damping-like) and out-of-plane (field-like) spin-transfer-torques in the magnetization switching of out-of-plane magnetized magnetic tunnel junctions (pMTJ) has been theoretically analyzed using the…

Mesoscale and Nanoscale Physics · Physics 2015-10-07 A. A. Timopheev , R. Sousa , M. Chshiev , L. D. Buda-Prejbeanu , B. Dieny

Synaptic memory is considered to be the main element responsible for learning and cognition in humans. Although traditionally non-volatile long-term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic…

Emerging Technologies · Computer Science 2017-12-20 Abhronil Sengupta , Kaushik Roy
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