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Confining Cation Injection to Enhance CBRAM Performance by Nanopore Graphene Layer.

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TLDR
Results directly confirm that CF formation is confined through the nanohole of graphene due to the localized cation injection, and the novel Cu/nanohole-graphene/HfO2 /Pt CBRAM device shows improvement of uniformity, endurance, and retention characteristics, because the cation injections is limited by the nanhole graphene.
Abstract
Conductive-bridge random access memory (CBRAM) is considered a strong contender of the next-generation nonvolatile memory technology. Resistive switching (RS) behavior in CBRAM is decided by the formation/dissolution of nanoscale conductive filament (CF) inside RS layer based on the cation injection from active electrode and their electrochemical reactions. Remarkably, RS is actually a localized behavior, however, cation injects from the whole area of active electrode into RS layer supplying excessive cation beyond the requirement of CF formation, leading to deterioration of device uniformity and reliability. Here, an effective method is proposed to localize cation injection into RS layer through the nanohole of inserted ion barrier between active electrode and RS layer. Taking an impermeable monolayer graphene as ion barrier, conductive atomic force microscopy results directly confirm that CF formation is confined through the nanohole of graphene due to the localized cation injection. Compared with the typical Cu/HfO2 /Pt CBRAM device, the novel Cu/nanohole-graphene/HfO2 /Pt device shows improvement of uniformity, endurance, and retention characteristics, because the cation injection is limited by the nanohole graphene. Scaling the nanohole of ion barrier down to several nanometers, the single-CF-based CBRAM device with high performance is expected to achieve by confining the cation injection at the atomic scale.

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Journal ArticleDOI

Recommended Methods to Study Resistive Switching Devices

TL;DR: This manuscript describes the most recommendable methodologies for the fabrication, characterization, and simulation of RS devices, as well as the proper methods to display the data obtained.
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.
Journal ArticleDOI

Vacancy-Induced Synaptic Behavior in 2D WS 2 Nanosheet-Based Memristor for Low-Power Neuromorphic Computing.

TL;DR: High-performance and low-power consumption memristors based on 2D WS2 with 2H phase are demonstrated, which show fast ON (OFF) switching times, low program current in the ON state, and SET (RESET) energy reaching the level of femtojoules.
Journal ArticleDOI

Breaking the Current-Retention Dilemma in Cation-Based Resistive Switching Devices Utilizing Graphene with Controlled Defects

TL;DR: By centralizing/decentralizing the CF distribution, this current-retention dilemma of cation-based RS devices is broken for the first time and will instruct the future implementation of high-density 3D integration of RS memory immune to crosstalk issues.
Journal ArticleDOI

Challenges and Applications of Emerging Nonvolatile Memory Devices

Writam Banerjee
- 22 Jun 2020 - 
TL;DR: Compared to other technologies, RRAM is the most promising approach which can be applicable as high-density memory, storage class memory, neuromorphic computing, and also in hardware security.
References
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Journal ArticleDOI

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

Impermeable atomic membranes from graphene sheets.

TL;DR: This pressurized graphene membrane is the world's thinnest balloon and provides a unique separation barrier between 2 distinct regions that is only one atom thick.
Journal ArticleDOI

Metal–Oxide RRAM

TL;DR: The physical mechanism, material properties, and electrical characteristics of a variety of binary metal-oxide resistive switching random access memory (RRAM) are discussed, with a focus on the use of RRAM for nonvolatile memory application.
Journal ArticleDOI

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

TL;DR: The diffusive Ag-in-oxide memristor and its dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses, representing an advance in hardware implementation of neuromorphic functionalities.
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