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Open AccessJournal ArticleDOI

Advances of RRAM Devices: Resistive Switching Mechanisms, Materials and Bionic Synaptic Application.

TLDR
The bionic synaptic application of RRAM devices is under intensive consideration, its main characteristics such as potentiation/depression response, short-/long-term plasticity (STP/LTP), transition from short- term memory to long-term memory (STM to LTM) and spike-time-dependent plasticity(STDP) reveal the great potential of R RAM devices in the field of neuromorphic application.
Abstract
Resistive random access memory (RRAM) devices are receiving increasing extensive attention due to their enhanced properties such as fast operation speed, simple device structure, low power consumption, good scalability potential and so on, and are currently considered to be one of the next-generation alternatives to traditional memory. In this review, an overview of RRAM devices is demonstrated in terms of thin film materials investigation on electrode and function layer, switching mechanisms and artificial intelligence applications. Compared with the well-developed application of inorganic thin film materials (oxides, solid electrolyte and two-dimensional (2D) materials) in RRAM devices, organic thin film materials (biological and polymer materials) application is considered to be the candidate with significant potential. The performance of RRAM devices is closely related to the investigation of switching mechanisms in this review, including thermal-chemical mechanism (TCM), valance change mechanism (VCM) and electrochemical metallization (ECM). Finally, the bionic synaptic application of RRAM devices is under intensive consideration, its main characteristics such as potentiation/depression response, short-/long-term plasticity (STP/LTP), transition from short-term memory to long-term memory (STM to LTM) and spike-time-dependent plasticity (STDP) reveal the great potential of RRAM devices in the field of neuromorphic application.

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Citations
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Dynamical memristors for higher-complexity neuromorphic computing

TL;DR: How novel material properties enable complex dynamics and define different orders of complexity in memristor devices and systems are discussed, which enable new computing architectures that offer dramatically greater computing efficiency than conventional computers.
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Intermediate layer for enhanced triboelectric nanogenerator

TL;DR: In this article, the authors have shown that the air breakdown effect is the main factor limiting the maximum effective power output of the TENG and proposed an effective strategy to improve the output performance by embedding superior intermediate layer into TENG induced output enhancement.
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Self-Rectifying Resistive Switching and Short-Term Memory Characteristics in Pt/HfO2/TaOx/TiN Artificial Synaptic Device.

TL;DR: Self-rectifying resistive switching characteristics are achieved by the asymmetric device stack, which is an advantage of the current suppression in the crossbar array structure and bio-synaptic characteristics are mimicked by replacing the bio-stimulation with the interval time of paired pulse inputs.
Journal ArticleDOI

Emulation of Biological Synapse Characteristics from Cu/AlN/TiN Conductive Bridge Random Access Memory.

TL;DR: The synaptic characteristics of AlN-based conductive bridge random access memory (CBRAM) as a synaptic device for neuromorphic systems are presented and paired-pulse facilitation in the nervous system is mimicked to induce STP.
References
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Atomic structure of conducting nanofilaments in TiO2 resistive switching memory

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TL;DR: The discovery of a Ag(2)S inorganic synapse is reported, which emulates the synaptic functions of both STP and LTP characteristics through the use of input pulse repetition time and indicates a breakthrough in mimicking synaptic behaviour essential for the further creation of artificial neural systems that emulate characteristics of human memory.
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Short-term memory to long-term memory transition in a nanoscale memristor.

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Proceedings ArticleDOI

Highly scalable nonvolatile resistive memory using simple binary oxide driven by asymmetric unipolar voltage pulses

TL;DR: In this article, a simple binary transition metal oxide (TMO) resistive random access memory (RRAM) was integrated with 0.18/spl mu/m CMOS technology, and its device as well as cell properties were reported for the first time.
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