Standards for the characterization of endurance in resistive switching devices
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …
applications in multiple types of integrated circuits, including electronic memories, true …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
In-sensor reservoir computing for language learning via two-dimensional memristors
The dynamic processing of optoelectronic signals carrying temporal and sequential
information is critical to various machine learning applications including language …
information is critical to various machine learning applications including language …
Neuromorphic nanoelectronic materials
Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …
neuromorphic computing architectures. While top-down fabrication based on conventional …
2D material based synaptic devices for neuromorphic computing
G Cao, P Meng, J Chen, H Liu, R Bian… - Advanced Functional …, 2021 - Wiley Online Library
The demand for computing power has been increasing exponentially since the emergence
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel …
Recent progress in three-terminal artificial synapses based on 2D materials: from mechanisms to applications
Synapses are essential for the transmission of neural signals. Synaptic plasticity allows for
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
changes in synaptic strength, enabling the brain to learn from experience. With the rapid …
Reconfigurable, non-volatile neuromorphic photovoltaics
The neural network image sensor—which mimics neurobiological functions of the human
retina—has recently been demonstrated to simultaneously sense and process optical …
retina—has recently been demonstrated to simultaneously sense and process optical …
Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications
K Liao, P Lei, M Tu, S Luo, T Jiang… - ACS Applied Materials …, 2021 - ACS Publications
A memristor is a two-terminal device with nonvolatile resistive switching (RS) behaviors.
Recently, memristors have been highly desirable for both fundamental research and …
Recently, memristors have been highly desirable for both fundamental research and …
Vertical MoS2 Double-Layer Memristor with Electrochemical Metallization as an Atomic-Scale Synapse with Switching Thresholds Approaching 100 mV
Atomically thin two-dimensional (2D) materials—such as transition metal dichalcogenide
(TMD) monolayers and hexagonal boron nitride (hBN)—and their van der Waals layered …
(TMD) monolayers and hexagonal boron nitride (hBN)—and their van der Waals layered …
Memristive devices based on two-dimensional transition metal chalcogenides for neuromorphic computing
Abstract Two-dimensional (2D) transition metal chalcogenides (TMC) and their
heterostructures are appealing as building blocks in a wide range of electronic and …
heterostructures are appealing as building blocks in a wide range of electronic and …