Transistors based on two-dimensional materials for future integrated circuits
Field-effect transistors based on two-dimensional (2D) materials have the potential to be
used in very large-scale integration (VLSI) technology, but whether they can be used at the …
used in very large-scale integration (VLSI) technology, but whether they can be used at the …
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 …
Active pixel sensor matrix based on monolayer MoS2 phototransistor array
In-sensor processing, which can reduce the energy and hardware burden for many machine
vision applications, is currently lacking in state-of-the-art active pixel sensor (APS) …
vision applications, is currently lacking in state-of-the-art active pixel sensor (APS) …
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 …
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 …
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 …
A bio-inspired visuotactile neuron for multisensory integration
Multisensory integration is a salient feature of the brain which enables better and faster
responses in comparison to unisensory integration, especially when the unisensory cues …
responses in comparison to unisensory integration, especially when the unisensory cues …