Imperfection-enabled memristive switching in van der Waals materials
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …
and integration capabilities. As a result, they are of potential use in the development of …
Memristors based on 2D materials as an artificial synapse for neuromorphic electronics
The memristor, a composite word of memory and resistor, has become one of the most
important electronic components for brain‐inspired neuromorphic computing in recent years …
important electronic components for brain‐inspired neuromorphic computing in recent years …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
High‐performance memristor based on 2d layered bioi nanosheet for low‐power artificial optoelectronic synapses
P Lei, H Duan, L Qin, X Wei, R Tao… - Advanced Functional …, 2022 - Wiley Online Library
Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors
have recently been studied for applications in neuromorphic computing and artificial vision …
have recently been studied for applications in neuromorphic computing and artificial vision …
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 …
Layer-structured anisotropic metal chalcogenides: recent advances in synthesis, modulation, and applications
The unique electronic and catalytic properties emerging from low symmetry anisotropic (1D
and 2D) metal chalcogenides (MCs) have generated tremendous interest for use in next …
and 2D) metal chalcogenides (MCs) have generated tremendous interest for use in next …
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 …
Synaptic devices based neuromorphic computing applications in artificial intelligence
Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …
nanoelectronic devices, which are expected to subvert traditional data storage and …
Optoelectronic synaptic devices for neuromorphic computing
Y Wang, L Yin, W Huang, Y Li, S Huang… - Advanced Intelligent …, 2021 - Wiley Online Library
Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …
mainstream computing because it excels at self‐adaptive learning and highly parallel …
Variability in resistive memories
Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …
a plethora of applications such as nonvolatile data storage, neuromorphic computing …