Results 61 to 70 of about 14,870,547 (146)

A Ferroelectric FET-Based Processing-in-Memory Architecture for DNN Acceleration

open access: yesIEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
This paper presents a ferroelectric FET (FeFET)-based processing-in-memory (PIM) architecture to accelerate the inference of deep neural networks (DNNs).
Yun Long   +7 more
doaj   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

open access: yesAdvanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad   +4 more
wiley   +1 more source

Origin, verification, and device‐level impacts of p‐doping in two‐dimensional transition metal dichalcogenides

open access: yesInfoMat, EarlyView.
This review provides a comprehensive perspective on p‐doping in two‐dimensional transition metal dichalcogenides, linking the origins of carrier polarity, doping mechanisms, verification methodologies, and device‐level impacts. By establishing correlations among atomic‐scale doping, carrier modulation, and device functionality, it offers practical ...
Seo Yeon Han   +4 more
wiley   +1 more source

Surface-Controlled Metal Oxide Resistive Memory [PDF]

open access: yes, 2015
To explore the surface effect on resistive random-access memory (ReRAM), the impact of surface roughness on the characteristics of ZnO ReRAM were studied.
Duran Retamal, Jose Ramon   +9 more
core   +1 more source

Nanoparticles-array-air spacer passivated memristor with high on/off ratio and low reset current density

open access: yesNano Research
Non-volatile resistive random-access memory (ReRAM) is a promising candidate for next-generation information storage, such as radiation-resistant memory modules and multifunctional memristor for sensing, data storage, and computing.
Dong Li   +12 more
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

open access: yesSmall, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong   +9 more
wiley   +1 more source

Microstructural transitions in resistive random access memory composed of molybdenum oxide with copper during switching cycles [PDF]

open access: yes, 2016
The switching operation of a Cu/MoOx/TiN resistive random access memory (ReRAM) device was investigated using in situ transmission electron microscopy (TEM), where the TiN surface was slightly oxidized (ox-TiN).
Arita, Masashi   +5 more
core   +1 more source

GeSeTe-based OTS selector integrated with ReRAM for high-density 1S-1R memory arrays

open access: yesAIP Advances
In this study, we developed a high-performance binary Ovonic Threshold Switching (OTS) selector based on GeSeTe and a resistive random access memory (ReRAM) device based on TaOx.
Hyun Kyu Seo   +2 more
doaj   +1 more source

Resistive Random-Access Memory (ReRAM) Circuit Design Optimization

open access: yesAcademic Journal of Science and Technology
With the fast development and broad application of artificial intelligence, mobile terminals, and autonomous driving, the advanced System-on-Chip (SoC) design faces unprecedented memory demand, especially under the two core requirements for High-Density Integration and Low-Power Operation. Under such circumstances, Resistive Random-Access Memory (RRAM)
openaire   +1 more source

Bio‐Compatible Flexible Memristive Devices Enabled by BNNT/MWCNT–ZnO Quantum Dot Hybrid Percolation Networks

open access: yesSmall, EarlyView.
BNNT rods incorporated into MWCNT–ZnO quantum dot networks regulate charge transport and suppress leakage in flexible, transparent resistive memory devices. The resulting hybrid architecture preserves nonvolatile switching under static bending and after low‐temperature exposure and subcutaneous implantation.
Jaeho Shim   +11 more
wiley   +1 more source

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