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Open AccessJournal ArticleDOI

Resistive switching memories based on metal oxides: mechanisms, reliability and scaling

TLDR
This work provides an overview of the current understanding of bipolar-switching RRAM operation, reliability and scaling, and the stability of the low- and high-resistance states will be discussed in terms of conductance fluctuations and evolution in 1D filaments containing only a few atoms.
Abstract
With the explosive growth of digital data in the era of the Internet of Things (IoT), fast and scalable memory technologies are being researched for data storage and data-driven computation. Among the emerging memories, resistive switching memory (RRAM) raises strong interest due to its high speed, high density as a result of its simple two-terminal structure, and low cost of fabrication. The scaling projection of RRAM, however, requires a detailed understanding of switching mechanisms and there are potential reliability concerns regarding small device sizes. This work provides an overview of the current understanding of bipolar-switching RRAM operation, reliability and scaling. After reviewing the phenomenological and microscopic descriptions of the switching processes, the stability of the low- and high-resistance states will be discussed in terms of conductance fluctuations and evolution in 1D filaments containing only a few atoms. The scaling potential of RRAM will finally be addressed by reviewing the recent breakthroughs in multilevel operation and 3D architecture, making RRAM a strong competitor among future high-density memory solutions.

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Citations
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Journal ArticleDOI

Resistive Random Access Memory (RRAM): an Overview of Materials, Switching Mechanism, Performance, Multilevel Cell (mlc) Storage, Modeling, and Applications

TL;DR: Recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential applications in various fields, and excellent scalability is comprehensively reviewed.
Journal ArticleDOI

A comprehensive review on emerging artificial neuromorphic devices

TL;DR: A comprehensive review on emerging artificial neuromorphic devices and their applications is offered, showing that anion/cation migration-based memristive devices, phase change, and spintronic synapses have been quite mature and possess excellent stability as a memory device, yet they still suffer from challenges in weight updating linearity and symmetry.
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Low-Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing.

TL;DR: An electrochemical graphene synapse, where the electrical conductance of graphene is reversibly modulated by the concentration of Li ions between the layers of graphene, is presented and it is suggested that this simple, two‐dimensional synapse is scalable in terms of switching energy and speed.
Journal ArticleDOI

Surface diffusion-limited lifetime of silver and copper nanofilaments in resistive switching devices.

TL;DR: A surface-diffusion model is developed to describe lifetime of filaments ranging from microseconds to years, which provides a new perspective of ion transport mechanism at the nanoscale, explaining the broad range of reported lifetimes and paving the way for material engineering of resistive switching device for memory and computing applications.
Journal ArticleDOI

Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses.

TL;DR: It is shown that, due to the sensitivity to precise spike timing, the spatiotemporal neural network is able to mimic the sound azimuth detection of the human brain.
References
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Journal ArticleDOI

Nanoionics-based resistive switching memories

TL;DR: A coarse-grained classification into primarily thermal, electrical or ion-migration-induced switching mechanisms into metal-insulator-metal systems, and a brief look into molecular switching systems is taken.
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Nanoscale Memristor Device as Synapse in Neuromorphic Systems

TL;DR: A nanoscale silicon-based memristor device is experimentally demonstrated and it is shown that a hybrid system composed of complementary metal-oxide semiconductor neurons and Memristor synapses can support important synaptic functions such as spike timing dependent plasticity.
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Memristive devices for computing

TL;DR: The performance requirements for computing with memristive devices are examined and how the outstanding challenges could be met are examined.
Journal ArticleDOI

Phase-change materials for rewriteable data storage

TL;DR: This review looks at the unique property combination that characterizes phase-change materials, in particular the contrast between the amorphous and crystalline states, and the origin of the fast crystallization kinetics.
Journal ArticleDOI

Resistive switching in transition metal oxides

TL;DR: In this paper, the authors review the current status of one of the alternatives, resistance random access memory (ReRAM), which uses a resistive switching phenomenon found in transition metal oxides.
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