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Progress, challenges, and opportunities in oxide semiconductor devices: a key building block for applications ranging from display backplanes to 3D integrated …
As Si has faced physical limits on further scaling down, novel semiconducting materials such
as 2D transition metal dichalcogenides and oxide semiconductors (OSs) have gained …
as 2D transition metal dichalcogenides and oxide semiconductors (OSs) have gained …
Progress of materials and devices for neuromorphic vision sensors
The latest developments in bio-inspired neuromorphic vision sensors can be summarized in
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …
3 keywords: smaller, faster, and smarter.(1) Smaller: Devices are becoming more compact …
Retina‐inspired artificial synapses with ultraviolet to near‐infrared broadband responses for energy‐efficient neuromorphic visual systems
J Zhang, P Guo, Z Guo, L Li, T Sun… - Advanced Functional …, 2023 - Wiley Online Library
Neuromorphic visual system with image perception, memory, and preprocessing functions is
expected to simulate basic features of the human retina. Organic optoelectronic synaptic …
expected to simulate basic features of the human retina. Organic optoelectronic synaptic …
Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing
Y Liu, D Liu, C Gao, X Zhang, R Yu, X Wang… - Nature …, 2022 - nature.com
Devices with sensing-memory-computing capability for the detection, recognition and
memorization of real time sensory information could simplify data conversion, transmission …
memorization of real time sensory information could simplify data conversion, transmission …
[HTML][HTML] Robust spike-based continual meta-learning improved by restricted minimum error entropy criterion
S Yang, J Tan, B Chen - Entropy, 2022 - mdpi.com
The spiking neural network (SNN) is regarded as a promising candidate to deal with the
great challenges presented by current machine learning techniques, including the high …
great challenges presented by current machine learning techniques, including the high …
Fully printed optoelectronic synaptic transistors based on quantum dot–metal oxide semiconductor heterojunctions
Optoelectronic synaptic transistors with hybrid heterostructure channels have been
extensively developed to construct artificial visual systems, inspired by the human visual …
extensively developed to construct artificial visual systems, inspired by the human visual …
Emerging iontronic neural devices for neuromorphic sensory computing
Living organisms have a very mysterious and powerful sensory computing system based on
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …
ion activity. Interestingly, studies on iontronic devices in the past few years have proposed a …
Advanced optoelectronic devices for neuromorphic analog based on low‐dimensional semiconductors
X Wang, Y Zong, D Liu, J Yang… - Advanced Functional …, 2023 - Wiley Online Library
Neuromorphic systems can parallelize the perception and computation of information,
making it possible to break through the von Neumann bottleneck. Neuromorphic …
making it possible to break through the von Neumann bottleneck. Neuromorphic …
Nanomaterials for flexible neuromorphics
G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …
development of adaptable neuromorphic devices and the creation of artificial neural …
Nanostructured materials and architectures for advanced optoelectronic synaptic devices
Neuromorphic photonics system based on the principle of biological brain is emerging as
one of the potential solutions to the bottleneck inherent in classical von Neumann computing …
one of the potential solutions to the bottleneck inherent in classical von Neumann computing …