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Journal ArticleDOI

Nanoscale resistive switching memory devices: a review.

Stefan Slesazeck, +1 more
- 30 Aug 2019 - 
- Vol. 30, Iss: 35, pp 352003-352003
TLDR
The suitability of the different device concepts for beyond pure memory applications, such as brain inspired and neuromorphic computational or logic in memory applications that strive to overcome the vanNeumann bottleneck, is discussed.
Abstract
In this review the different concepts of nanoscale resistive switching memory devices are described and classified according to their I-V behaviour and the underlying physical switching mechanisms. By means of the most important representative devices, the current state of electrical performance characteristics is illuminated in-depth. Moreover, the ability of resistive switching devices to be integrated into state-of-the-art CMOS circuits under the additional consideration with a suitable selector device for memory array operation is assessed. From this analysis, and by factoring in the maturity of the different concepts, a ranking methodology for application of the nanoscale resistive switching memory devices in the memory landscape is derived. Finally, the suitability of the different device concepts for beyond pure memory applications, such as brain inspired and neuromorphic computational or logic in memory applications that strive to overcome the vanNeumann bottleneck, is discussed.

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Citations
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Journal ArticleDOI

Ferroelectric Tunnel Junctions: Modulations on the Potential Barrier

TL;DR: Recent progress regarding FTJ devices is reviewed with an emphasis on the modulation of the potential barrier, and electronic and ionic approaches that modulate the ferroelectric barriers themselves and/or induce extra barriers in electrodes or at ferroelectrode interfaces are discussed with the enhancement of memory performance.
Journal ArticleDOI

Next generation ferroelectric materials for semiconductor process integration and their applications

TL;DR: Ferroelectrics are a class of materials that possess a variety of interactions between electrical, mechanical, and thermal properties that have enabled a wealth of functionalities as mentioned in this paper. But the complexity of well-known ferroelectric materials, e.g., the perovskite class, causes severe issues that limit its applications in integrated systems.
Journal ArticleDOI

2022 roadmap on neuromorphic computing and engineering

TL;DR: In this article , the authors present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of the neuromorphic computing community.
Journal ArticleDOI

Roadmap on emerging hardware and technology for machine learning.

Karl K. Berggren, +47 more
- 01 Jan 2021 - 
TL;DR: The aim of this Roadmap is to present a snapshot of emerging hardware technologies that are potentially beneficial for machine learning, providing the Nanotechnology readers with a perspective of challenges and opportunities in this burgeoning field.
Journal ArticleDOI

Ferroic tunnel junctions and their application in neuromorphic networks

TL;DR: The goal is to give a broad review of ferroic tunnel junction based artificial synapses that can be applied to neuromorphic computing and to help further ongoing research in this field.
References
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Journal ArticleDOI

A million spiking-neuron integrated circuit with a scalable communication network and interface

TL;DR: Inspired by the brain’s structure, an efficient, scalable, and flexible non–von Neumann architecture is developed that leverages contemporary silicon technology and is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification.
Journal ArticleDOI

Giant room-temperature magnetoresistance in single-crystal Fe/MgO/Fe magnetic tunnel junctions

TL;DR: A giant MR ratio up to 180% at room temperature in single-crystal Fe/MgO/Fe MTJs is reported, indicating that coherency of wave functions is conserved across the tunnel barrier.
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