Results 51 to 60 of about 17,853 (211)

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Multi-bit MRAM based high performance neuromorphic accelerator for image classification

Neuromorphic Computing and Engineering
Binary neural networks (BNNs) are the most efficient solution to bridge the design gap of the hardware implementation of neural networks in a resource-constrained environment.
Gaurav Verma, Sandeep Soni, Arshid Nisar, Brajesh Kumar Kaushik   +3 more
doaj   +1 more source

Magnetization dynamics at finite temperature in CoFeB–MgO based MTJs

Scientific Reports, 2023
The discovery of magnetization switching via spin transfer torque (STT) in PMA-based MTJs has led to the development of next-generation magnetic memory technology with high operating speed, low power consumption and high scalability.
Sutee Sampan-A-Pai, Rattaphon Phoomatna, Worawut Boonruesi, Andrea Meo, Jessada Chureemart, Richard F. L. Evans, Roy W. Chantrell, Phanwadee Chureemart   +7 more
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Research progresses on switching mechanism and advanced electrical characterizations of magnetic random access memory

Gongneng cailiao yu qijian xuebao
To address the energy efficiency and data throughput limitations of the Von Neumann architecture, computing-in-memory (CIM) systems based on spiking neural networks (SNNs) impose rigorous demands on the performance of non-volatile memory technologies ...
Xiaoqian MA, Shifan GAO, Yiming QU
doaj   +1 more source

Decoupled Spin Hall Voltage Readout for Domain‐Wall Synapses in Embedded Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
Magnetic domain‐wall synapses provide nonvolatile multilevel states with linear, symmetric weight updates, making them attractive for neuromorphic hardware. However, DW MTJ readout has magnetoresistance‐limited dynamic range, while anomalous‐Hall readout suffers from weak voltage output and read/write coupling.
Stanislav Sin, Min Geun Yun, Saeroonter Oh   +2 more
wiley   +1 more source

Energy-efficient DSHE-MRAM-based in-memory computing for image segmentation [PDF]

APL Electronic Devices
Image segmentation approaches are among the crucial tasks in computer vision applications, such as object recognition, tracking, agriculture, autonomous vehicles, and medical imaging, relying heavily on deep learning neural networks (NN) for precise ...
Tanmoy Pramanik, Alok Kumar Shukla, Gaurav Verma, Amit Monga, Hemkant Nehete, Sandeep Soni   +5 more
doaj   +1 more source

Micromagnetic simulation of the temperature dependence of the switching energy barrier using string method assuming sidewall damages in perpendicular magnetized magnetic tunnel junctions

AIP Advances, 2020
The influence of magnetic damages at the sidewall of perpendicular magnetic tunnel junctions (p-MTJs), which are the core devices of spin-transfer-torque magnetoresistive random-access memory (STT-MRAM), is discussed based on the thermal stability factor,
Hiroshi Naganuma, Hideo Sato, Shoji Ikeda, Tetsuo Endoh   +3 more
doaj   +1 more source

Recent progress of the exchange bias based on 2D van der Waals ferromagnet

InfoScience, EarlyView.
Ultrathin magnetic materials could help make smaller, energy‐efficient memories, but their magnetic states must remain stable and controllable. This review brings together recent research on exchange bias, a magnetic pinning effect in layered materials, and explains how interfaces and electrical, thermal or mechanical controls can tune it, with optical
Wajahat Ali, Shaojie Hu
wiley   +1 more source