Progress, challenges, and opportunities in oxide semiconductor devices: a key building block for applications ranging from display backplanes to 3D integrated …

T Kim, CH Choi, JS Hur, D Ha, BJ Kuh, Y Kim… - Advanced …, 2023 - Wiley Online Library
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 …

Progress of materials and devices for neuromorphic vision sensors

SW Cho, C Jo, YH Kim, SK Park - Nano-Micro Letters, 2022 - Springer
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 …

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 …

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 …

[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 …

Fully printed optoelectronic synaptic transistors based on quantum dot–metal oxide semiconductor heterojunctions

K Liang, R Wang, B Huo, H Ren, D Li, Y Wang… - ACS …, 2022 - ACS Publications
Optoelectronic synaptic transistors with hybrid heterostructure channels have been
extensively developed to construct artificial visual systems, inspired by the human visual …

Emerging iontronic neural devices for neuromorphic sensory computing

S Dai, X Liu, Y Liu, Y Xu, J Zhang, Y Wu… - Advanced …, 2023 - Wiley Online Library
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 …

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 …

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 …

Nanostructured materials and architectures for advanced optoelectronic synaptic devices

N Ilyas, J Wang, C Li, D Li, H Fu, D Gu… - Advanced Functional …, 2022 - Wiley Online Library
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 …