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Analog multiplexing appears to be a promising solution for modern transmitters, where speed is the primary limitation. The objective is the development of a low-cost solution to compare different digital to analog (DAC) schemes. In…

信号处理 · 电气工程与系统科学 2026-02-03 Alfredo Pérez Vega-Leal , Manuel G. Satué

Voltage-controlled magnetoresistive random access memory (VC-MRAM) based on voltage-induced dynamic switching in magnetic tunnel junctions (MTJs) is a promising ultimate non-volatile memory with ultralow power consumption. However, the…

介观与纳米尺度物理 · 物理学 2023-05-31 Rie Matsumoto , Shiniji Yuasa , Hiroshi Imamura

We demonstrate that thermally stable perpendicular magnetic tunnel junctions (pMTJs), widely used in spin-transfer torque magnetic random-access memory, can be actuated with nanosecond pulses to exhibit tunable stochastic behavior. This…

介观与纳米尺度物理 · 物理学 2026-01-15 Ahmed Sidi El Valli , Michael Tsao , Dairong Chen , Andrew D. Kent

Domain walls are the transition regions between two magnetic domains. These objects have been very relevant during the last decade, not only due to their intrinsic interest in the development of novel spintronics devices but also because of…

介观与纳米尺度物理 · 物理学 2021-05-19 Oscar Alejos , Víctor Raposo , Eduardo Martínez

Two-dimensional (2D) van der Waals (vdW) magnets with layer-dependent magnetic states and/or diverse magnetic interactions and anisotropies have attracted extensive research interest. Despite the advances, a notable challenge persists in…

DRAM-based in-situ accelerators have shown their potential in addressing the memory wall challenge of the traditional von Neumann architecture. Such accelerators exploit charge sharing or logic circuits for simple logic operations at the…

硬件体系结构 · 计算机科学 2024-02-08 Minki Jeong , Wanyeong Jung

We theoretically study the equilibrium and dynamic properties of nanoscale magnetic tunnel junctions (MTJs) and magnetic wires, in which an electric field controls the magnetic anisotropy through spin-orbit coupling. By performing…

介观与纳米尺度物理 · 物理学 2015-06-17 Pramey Upadhyaya , Ritika Dusad , Silas Hoffman , Yaroslav Tserkovnyak , Juan G. Alzate , Pedram Khalili Amiri , Kang L. Wang

In-memory computing (IMC) is an effectual solution for energy-efficient artificial intelligence applications. Analog IMC amortizes the power consumption of multiple sensing amplifiers with analog-to-digital converter (ADC), and…

新兴技术 · 计算机科学 2021-10-11 Hao Cai , Yanan Guo , Bo Liu , Mingyang Zhou , Juntong Chen , Xinning Liu , Jun Yang

We present a low barrier magnet based compact hardware unit for analog stochastic neurons and demonstrate its use as a building-block for neuromorphic hardware. By coupling circular magnetic tunnel junctions (MTJs) with a CMOS based analog…

新兴技术 · 计算机科学 2021-05-25 Samiran Ganguly , Kerem Y. Camsari , Avik W. Ghosh

Strain-controlled modulation of the magnetic switching behavior in magnetic tunnel junctions (MTJs) could provide the energy efficiency needed to accelerate the use of MTJs in memory, logic, and neuromorphic computing, as well as an…

Memtranstor that correlates charge and magnetic flux via nonlinear magnetoelectric effects has a great potential in developing next-generation nonvolatile devices. In addition to multi-level nonvolatile memory, we demonstrate here that…

新兴技术 · 计算机科学 2017-01-04 Jianxin Shen , Dashan Shang , Yisheng Chai , Yue Wang , Junzhuang Cong , Shipeng Shen , Liqin Yan , Wenhong Wang , Young Sun

Voltage-gate assisted spin-orbit torque (VGSOT) writing scheme combines the advantages from voltage control of magnetic anisotropy (VCMA) and spin-orbit torque (SOT) effects, enabling multiple benefits for magnetic random access memory…

介观与纳米尺度物理 · 物理学 2021-06-11 Y. C. Wu , K. Garello , W. Kim , M. Gupta , M. Perumkunnil , V. Kateel , S. Couet , R. Carpenter , S. Rao , S. Van Beek , K. K. Vudya Sethu , F. Yasin , D. Crotti , G. S. Kar

A practical deep neural network's (DNN) evaluation involves thousands of multiply-and-accumulate (MAC) operations. To extend DNN's superior inference capabilities to energy constrained devices, architectures and circuits that minimize…

新兴技术 · 计算机科学 2020-08-04 Aditya Shukla

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…

It looks very attractive to coordinate racetrack-memory (RM) and stochastic-computing (SC) jointly to build an ultra-low power neuron-architecture.However, the above combination has always been questioned in a fatal weakness that the heavy…

分布式、并行与集群计算 · 计算机科学 2024-10-23 Jihe Wang , Zhiying Zhang , Xingwu Dong , Danghui Wang

We report on the controlled switching of domain wall (DW) magnetization in aligned stripe domain structures, stabilized in [Co (0.44 nm)/Pt (0.7 nm)]$_X$ ($X = 48$, 100, 150) multilayers with perpendicular magnetic anisotropy. The switching…

As an intriguing ultra-small particle-like magnetic texture, skyrmion has attracted lots of research interests in next-generation ultra-dense and low power magnetic memory/logic designs. Previous studies have demonstrated a single…

新兴技术 · 计算机科学 2017-02-23 Zhezhi He , Shaahin Angizi , Deliang Fan

We theoretically and experimentally analyze the pinning of a magnetic domain wall (DW) at engineered anisotropy variations in Pt/Co/Pt strips with perpendicular magnetic anisotropy. An analytical model is derived showing that a step in the…

介观与纳米尺度物理 · 物理学 2011-12-19 Jeroen H. Franken , Mark Hoeijmakers , Reinoud Lavrijsen , Henk J. M. Swagten

Magnetic tunnel junctions (MTJs) with conventional bulk ferromagnets separated by a nonmagnetic insulating layer are key building blocks in spintronics for magnetic sensors and memory. A radically different approach of using atomically-thin…

This paper investigates the impact of thermal stability relaxation in double-barrier magnetic tunnel junctions (DMTJs) for energy-efficient spin-transfer torque magnetic random access memories (STT-MRAMs) operating at the liquid nitrogen…

新兴技术 · 计算机科学 2022-05-10 Esteban Garzón , Raffaele De Rose , Felice Crupi , Lionel Trojman , Adam Teman , Marco Lanuzza