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A magnetic skyrmion induced on a ferromagnetic topological insulator (TI) is a real-space manifestation of the chiral spin texture in the momentum space, and can be a carrier for information processing by manipulating it in tailored…

Impact of spin transfer torque (STT) on the write error rate of a voltage-torque-based magnetoresistive random access memory is theoretically analyzed by using the macrospin model. During the voltage pulse the STT assists or suppresses the…

Mesoscale and Nanoscale Physics · Physics 2019-06-04 Hiroshi Imamura , Rie Matsumoto

Prior studies have shown that the retention time of the non-volatile spin-transfer torque RAM (STT-RAM) can be relaxed in order to reduce STT-RAM's write energy and latency. However, since different applications may require different…

Computers and Society · Computer Science 2024-07-30 Dhruv Gajaria , Kyle Kuan , Tosiron Adegbija

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

Spin-orbit torque arising from the spin-orbit-coupled surface states of topological insulators enables current-induced control of magnetization with high efficiency. Here, alternating-current (AC) driven magnetization reversal is…

A new genre of Spin-Transfer Torque (STT) MRAM is proposed, in which bi-directional writing is achieved using thermoelectrically controlled magnonic current as an alternative to conventional electric current. The device uses a magnetic…

Materials Science · Physics 2011-08-12 Niladri N. Mojumder , Kaushik Roy , David W. Abraham

Spintronic devices, such as non-volatile magnetic random access memories and logic devices, have attracted considerable attention as potential candidates for future high efficient data storage and computing technology. In a heavy metal or…

Materials Science · Physics 2018-08-01 Yi Wang , Rajagopalan Ramaswamy , Hyunsoo Yang

Brain-inspired Spiking Neural Networks (SNNs) have attracted attention for their event-driven characteristics and high energy efficiency. However, the temporal dependency and irregularity of spikes present significant challenges for…

Hardware Architecture · Computer Science 2025-06-11 Kainan Wang , Chengyi Yang , Chengting Yu , Yee Sin Ang , Bo Wang , Aili Wang

Non-volatile memory (NVM) technologies such as spin-transfer torque magnetic random access memory (STT-MRAM) and spin-orbit torque magnetic random access memory (SOT-MRAM) have significant advantages compared to conventional SRAM due to…

Hardware Architecture · Computer Science 2022-05-23 Ahmet Inci , Mehmet Meric Isgenc , Diana Marculescu

In this paper, we demonstrate the design of efficient and high-performance AI/Deep Learning accelerators with customized STT-MRAM and a reconfigurable core. Based on model-driven detailed design space exploration, we present the design…

Hardware Architecture · Computer Science 2021-04-07 Kaniz Mishty , Mehdi Sadi

An acoustic topological insulator (TI) is synthesized using topology optimization, a free material inverse design method. The TI appears spontaneously from the optimization process without imposing requirements on the existence of pseudo…

Mesoscale and Nanoscale Physics · Physics 2019-06-19 Rasmus E. Christiansen , Fengwen Wang , Ole Sigmund

As technology process node scales down, on-chip SRAM caches lose their efficiency because of their low scalability, high leakage power, and increasing rate of soft errors. Among emerging memory technologies, Spin-Transfer Torque Magnetic…

Hardware Architecture · Computer Science 2022-01-13 Elham Cheshmikhani , Hamed Farbeh , Seyed Ghassem Miremadi , Hossein Asadi

Spintronics, the use of spin of an electron instead of its charge, has received huge attention from research communities for different applications including memory, interconnects, logic implementation, neuromorphic computing, and many…

Topological insulators (TIs) are intriguing materials for advanced computing applications based on spintronics because they can host robust spin effects. For instance, TIs have intrinsically large spin generation enabled by their large…

Mesoscale and Nanoscale Physics · Physics 2025-03-11 Sharadh Jois , Gregory M. Stephen , Nick Blumenschein , Patrick J. Taylor , Aubrey T. Hanbicki , Adam L. Friedman

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

The deployment of Large Language Models (LLMs) for real-time intelligence on edge devices is rapidly growing. However, conventional hardware architectures face a fundamental memory wall challenge, where limited on-device memory capacity and…

Hardware Architecture · Computer Science 2026-02-25 Hongyi Guan , Yijia Zhang , Wenqiang Wang , Yizhao Gao , Shijie Cao , Chen Zhang , Ningyi Xu

Recent development in memory technologies has introduced Spin-Transfer Torque Magnetic RAM (STT-MRAM) as the most promising replacement for SRAMs in on-chip cache memories. Besides its lower leakage power, higher density, immunity to…

Hardware Architecture · Computer Science 2025-12-01 Elham Cheshmikhani , Hamed Farbeh , Hossein Asad

We present an optimal field-free protocol for current-induced switching of a perpendicularly magnetized ferromagnetic insulator nanoelement on the surface of a topological insulator. The time dependence of in-plane components of the surface…

Magnetic heterostructures that combine large spin-orbit torque efficiency, perpendicular magnetic anisotropy, and low resistivity are key to develop electrically-controlled memory and logic devices. Here we report on vector measurements of…

Materials Science · Physics 2017-01-10 Abhijit Ghosh , Kevin Garello , Can Onur Avci , Mihai Gabureac , Pietro Gambardella

To make a useful STT-MRAM (spin-transfer torque magnetoresistive random-access memory) device, it is necessary to be able to calculate switching rates, which determine the error rates of the device. In a single-macrospin model, one can use…

Mesoscale and Nanoscale Physics · Physics 2014-10-28 Kamaram Munira , P. B. Visscher
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