Two-dimensional materials for next-generation computing technologies
Rapid digital technology advancement has resulted in a tremendous increase in computing
tasks imposing stringent energy efficiency and area efficiency requirements on next …
tasks imposing stringent energy efficiency and area efficiency requirements on next …
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 …
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 …
Neuromorphic nanoelectronic materials
VK Sangwan, MC Hersam - Nature nanotechnology, 2020 - nature.com
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 …
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …
computing using novel neuromorphic devices. The potential of various emerging materials …
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 …
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 …
Recent advances in transistor‐based artificial synapses
Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …
is widely recognized as the first step in hardware building brain‐like computers and artificial …
Reconfigurable logic and neuromorphic circuits based on electrically tunable two-dimensional homojunctions
Reconfigurable logic and neuromorphic devices are crucial for the development of high-
performance computing. However, creating reconfigurable devices based on conventional …
performance computing. However, creating reconfigurable devices based on conventional …
Nanowires for UV–vis–IR optoelectronic synaptic devices
X Chen, B Chen, B Jiang, T Gao… - Advanced Functional …, 2023 - Wiley Online Library
Simulating biological synaptic functionalities through artificial synaptic devices opens up an
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …
innovative way to overcome the von Neumann bottleneck at the device level. Artificial …