Results 41 to 50 of about 5,091 (240)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Materials, processes, devices and applications of magnetoresistive random access memory
Magnetoresistive random access memory (MRAM) is a promising non-volatile memory technology that can be utilized as an energy and space-efficient storage and computing solution, particularly in cache functions within circuits.
Meiyin Yang +3 more
doaj +1 more source
Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford +9 more
wiley +1 more source
Numerical study of two-terminal SOT-MRAM
A fully three-dimensional model coupling charge, spin, magnetization, and temperature dynamics is employed to study the switching behavior of the two-terminal spin–orbit torque magnetoresistive random access memory (2T-SOT-MRAM).
Selberherr, Siegfried; orcid: +9 more
core +1 more source
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami +5 more
wiley +1 more source
While magnetic random-access memories (MRAMs) are promising because of their nonvolatility, relatively fast speeds, and high endurance, there are major challenges in adopting them for the advanced technology nodes.
Piyush Kumar +3 more
doaj +1 more source
Compute-in-memory (CIM) accelerator has become a popular solution to achieve high energy efficiency for deep learning applications in edge devices. Recent works have demonstrated CIM macros using nonvolatile memories [spin transfer torque (STT)-MRAM and ...
Vinod Kurian Jacob +5 more
doaj +1 more source
Generation of Probabilistic Bits by Exploiting Orthogonal Spin Currents in Magnetic Trilayers
Fe/Ti/CoFeB trilayers generate orthogonal spin currents that drive stochastic spin–orbit‐torque switching for probabilistic‐bit operation. The switching probability is continuously controlled by the in‐plane magnetic field and drive current, enabling tunable random bit generation.
Donghyeon Han +17 more
wiley +1 more source
Building and optimizing MRAM-based commodity memories
Emerging non-volatile memory technologies such as MRAM are promising design solutions for energyefficient memory architecture, especially formobile systems. However, building commodityMRAMby reusing DRAM designs is not straightforward.
Wang, Jue, Dong, Xiangyu, Xie, Yuan
core +1 more source
STT-MRAM error correction technology based on LDPC coding
Spin transfer magnetoresistive random access memory (STT-MRAM) shows potential applications with the properties of non-volatility, low power consumption and high write/read speed.
Xue Zhang, Jianbin Liu, Yanfeng Jiang
doaj +1 more source

