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Negative Photoconductance Effect: An Extension Function of the TiOx-Based Memristor

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This article is published in Advanced Science.The article was published on 2021-05-06 and is currently open access. It has received 76 citations till now. The article focuses on the topics: Memristor.

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Journal ArticleDOI

Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing

TL;DR: In this article , the progress, challenges, and opportunities for both volatile and nonvolatile memristors in the level of materials, integration technology, algorithm, and system are highlighted.
Journal ArticleDOI

ABO3 multiferroic perovskite materials for memristive memory and neuromorphic computing

TL;DR: In this article, a review of ABO3-based memristive devices for artificial intelligence applications is presented, including ion doping, electrode selection, and interface modulation, as well as the progress, challenges, and possible solutions are proposed.
Journal ArticleDOI

Refining the Negative Differential Resistance Effect in a TiOx-Based Memristor.

TL;DR: In this paper, the N-type negative difference resistance (NDR) is characterized by the peak/valley voltage (Vp/Vv) and the corresponding current (Ip/Iv), which is observed in the resistive switching memory device of Ag|TiO2|F-doped SnO2 at room temperature.
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Recent advances on crystalline materials-based flexible memristors for data storage and neuromorphic applications

TL;DR: In this paper, the authors focus on one class of crystalline materials (CMs)-based flexible memristors with state-of-the-art experimental demonstrations, including 2D materials, metal-organic frameworks, covalent organic frameworks, and perovskites.
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Multilevel memory and artificial synaptic plasticity in P(VDF-TrFE)-based ferroelectric field effect transistors

TL;DR: In this article , a multilevel data memory and artificial synaptic plasticity in poly(vinylidene fluoride-co-trifluoroethylene) [P(VDF-TrFE)] ferroelectric field effect transistors were demonstrated.
References
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Journal ArticleDOI

Fully hardware-implemented memristor convolutional neural network

TL;DR: The fabrication of high-yield, high-performance and uniform memristor crossbar arrays for the implementation of CNNs and an effective hybrid-training method to adapt to device imperfections and improve the overall system performance are proposed.
Journal ArticleDOI

Memory devices and applications for in-memory computing

TL;DR: This Review provides an overview of memory devices and the key computational primitives enabled by these memory devices as well as their applications spanning scientific computing, signal processing, optimization, machine learning, deep learning and stochastic computing.
Journal ArticleDOI

Electrochemical metallization memories—fundamentals, applications, prospects

TL;DR: This review focuses on electrochemical metallization memory cells (ECM), highlighting their advantages as the next generation memories and the prospects of ECM with regard to further scalability and the ability for multi-bit data storage.
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Optoelectronic resistive random access memory for neuromorphic vision sensors.

TL;DR: A simple two-terminal optoelectronic resistive random access memory (ORRAM) synaptic devices for an efficient neuromorphic visual system that exhibit non-volatile optical resistive switching and light-tunable synaptic behaviours.
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